COVID-19, Chat-GPT and International Development Assistance

The COVID-19 pandemic created an incredibly challenging situation in the international development space. On the one hand, developing countries were going through an extraordinary crisis, which increased the global demand for international development assistance. On the other hand, COVID-19 slowed down the economies of the donor countries, which faced new socio-economic challenges at home. This article is a summary of statistical research that looks at how the Gross National Income of the Organization for Economic Co-operation and Development (OECD) member states changed between 2018 and 2021 and correlates it with the amount of money they invested in Official Development Assistance (ODA) during this period. The statistical analysis shows that despite economic challenges and increased demand for social assistance at home, OECD countries actually increased their international development assistance spending.

Artificial intelligence chatbot, ChatGPT, was first released on November 30, 2022, and that was right around the time I was working on this research. So, I registered on the ChatGPT website and asked it to write a paragraph about the impact of Covid-19 on official development assistance. Within 5 seconds, ChatGPT wrote a persuasive paragraph arguing that “many donor countries have faced economic challenges and have had to redirect funds towards domestic priorities, such as healthcare and support for businesses and individuals affected by the pandemic.” It concluded that “ODA funding has been reduced, which has had a detrimental effect on the ability of recipient countries to address development challenges and achieve their development goals.” The text was fluid, logically coherent, and not plagiarized. However, the analysis of actual data showed that despite its sound reasoning, ChatGPT was wrong.  

I collected all the data from the website of the Organization for Economic Co-operation and Development (OECD), which is an international forum that brings together 38 of the world’s most economically advanced countries to exchange best practices, tackle common problems and contribute to global peace and development. OECD countries account for 18% of the world population but 63% of the global GDP and about 95% of the Official Development Assistance. I gathered data for a four-year period from 2018 to 2021 and looked at mainly two indicators: 1. data on the Gross National Income, as it is one of the most important indicators of a country’s economic performance, and 2. ODA represents the amount of money a donor country spends on international development assistance. 

Between 2020 and 2019, the GNI of OECD countries shrank by $1,3 trillion, which means an average of $34 billion reduction per country. However, contrary to GNI, ODA spending of the OECD countries increased by $6,6 billion, which breaks down to a $193 million average per country. Consistent with these findings, the average ODA, as a percentage of GNI, increased from 0,373% in 2019 to 0,399% in 2020.      

Conclusion 1 

So, the statistical analysis showed that despite the negative impact of COVID-19 on their domestic economies, the OECD countries increased the amount of money spent on Official Development Assistance. This analysis leaves us with a positive and encouraging message that in times of need, the international community is able to come together and take action for the common good beyond national borders. 

Conclusion 2 

It is also another reminder about the limitations of large language models, such as Chat GPT. There are several generative AI models which can produce somewhat original text, images, and other data, based on a statistical analysis of information on the internet. For example, Chat GPT, the most successful of these models, was trained on 570GB of information (approximately 385 million pages on Microsoft Word), allowing it to generate human-like seamless outputs within seconds. However, due to associated costs, the model is pre-trained, which means there is a cut-off date for source information. In addition, all the misinformation, fake news, and biased texts found online are also fed into training the model. The engineers at Open AI are taking measures to tackle the issue of misinformation, but that is a tall order, even if you have the best intentions. So, while humans can investigate and find the truth, it is a much more elusive task for pre-trained AI models. 

P.S. Most of the OECD countries still need to catch up to their commitment to spend 0.7% of their GNI on development assistance.

Blockchain solution to advance conscious consumerism

Introduction 

A couple of hundred years ago, an average person’s food source radius was around 10 miles. Today our food basket is a product of a complex web of farmers, freighters, trailers, retailers, and suppliers, that stretches into thousands of miles long supply chains. In the last few years, many ideas have emerged about how to improve the status quo in the supply chain domain. When the COVID-19 pandemic put the global supply chains to the test, it exposed some fundamental shortcomings, especially in the food industry, and emphasized the need for new solutions. One of the most innovative and widely discussed ideas is the application of blockchain technologies, which has captured the public imagination since 2009. This paper looks at the application of this new technology in the food industry from the perspective of customers and discusses its potential perspective and cons. 

Blockchain                                

Blockchain is software that creates a network of computers for the authentication and verification of digital documents. It is also called Distributed Ledger Technology due to its core idea, which is for various blocks of information in a chain of computers to keep tabs on each other or maintain autonomous ledgers of transactions to avoid duplications or double-spending. The concept of a blockchain protocol was first put forward in 1972 by an American computer scientist David Lee Chaum in his dissertation work “Computer Systems Established, Maintained, and Trusted by Mutually Suspicious Groups,” where he argued that “a number of organizations who do not trust one another can build and maintain a highly secured computer system,” or network of vaults, they can all trust (Chaum, 1972). However, this idea did not attract much attention from any industry until the release of Bitcoin cryptocurrency decades later. When the unknown author (or authors), under the pseudonym Satoshi Nakomoto, published the white papers for Bitcoin in October 2008, the blockchain technology that enables it stirred a lot of attention. Even people skeptical about cryptocurrency became intrigued about other potential applications of the technology that powers it.

Supply Chain

One of the most notable books about the global impact of this technology is titled Blockchain Revolution, written by Don and Alex Tapscott. In the book, first published in 2016, the authors remark, “We often get asked, “What is the next big killer app for blockchain?… There is no better candidate than the global supply chain, an industry that runs two-thirds of the global economy” (Tapscott & Tapscott, p. 5). Modernization of supply chain operations and management is long overdue, and in recent years exciting ideas have emerged about using blockchain applications to address some of the most salient issues in this domain. In a short period, dozens of new startups and several large corporations started looking for ways to leverage the potential of blockchain applications for improving supply chain management. For example, in 2017, Walmart, along with some of its biggest suppliers in the food category, such as Dole, Kroger, McCormick, Nestlé, Tyson Foods, and Unilever, developed a partnership with IBM to use blockchain for food traceability (Sristy, 2017). Since the COVID-19 crisis, which exposed some of the fundamental issues in the status quo of the supply chains, especially in the food industry, the appetite for innovative solutions has grown even larger. 

What would it mean for consumers? 

Government and businesses have a common interest in the consumer, with the private sector wanting to earn repeat business from customers and the government wanting products to be safe for consumption. If blockchain becomes a mainstream solution in supply chains, it would create more transparency and make it easier to track food products not only for business operators and government regulators but also for customers. According to Walmart, in 2016, it took their food safety specialists 6 days, 18 hours, and 26 minutes to track where a package of sliced mangoes came from (Sristy, 2017). However, with the help of blockchain applications, they were able to cut it down to 2 seconds. It is as easy as scanning a barcode, and it means even customers in a store can pull out a phone, scan a product and see the entire life story of a given product. 

Considering the increasing customer interest in learning more about their food basket, blockchain could mean a win both for consumers and businesses who want to gain a marketing edge. According to a report released in 2022 by FMI – Food Industry Association and NielsenIQ, 81% of shoppers say “transparency is important or extremely important to them both online and in-store” (NielsenIQ & The Food Industry Association, 2022). This growing demand for more information is why we see more and more labels on products such as Animal Welfare Approved, Cruelty-Free, Certified Naturally Grown, Fair Trade, etc. Today, there are hundreds of food certification labels in the US that non-profit, public organizations issue. Most of these entities are well-intentioned, but they do not always have the resources/capacity to enforce high standards. For example, a Peruvian Fairtrade-certified coffee producer told Financial Times, “There is no way to enforce, control and monitor – in a remote rural area of a developing country – how much a small farmer is paying his temporary workers” (Weitzman, 2006). So blockchain could help these certificate-issuing entities to keep the customers better informed.

One successful blockchain startup Banqu, used in 50 countries, makes even the smallest farmers in remote areas bankable, as they receive a text message with a unique code after every transaction, which they present to local banks and then receive their money. It creates unprecedented visibility for small farmers and significantly reduces the opportunities for fraud. We live in an interconnected world, where small farmers in rural areas of distant countries play a role in shaping our daily food basket. Banqu (a wordplay of bank and you) suggests that with their application, “you will know who harvests your crops, who collects your waste for recycling, and who mines your gems and minerals,” and claims that companies that partner with them perform better on climate action, poverty alleviation and human rights (Banqu, n.d.). Blockchain could shed light of transparency along the entire line of the supply chains and make visible even the smallest farmers all the way upstream to the final destination consumers.

Conscious consumerism or consumer activism are trends that are expected to grow in influence over time. New generations are more likely to leverage their individual purchasing choice and mobilize over social media platforms for collective action against corporate practices they disagree with. According to LendingTree, in 2020, 38% of Americans boycotted a company, mainly due to a political or covid-19 related issue. This number was 51% and 52% for Gen Z and millennials, while it averaged 22% and 16% for baby boomers and the silent generation (Holmes, T. 2020). As one example, in 2020, consumers from around the world mobilized behind the #payup campaign that forced large brands such as Gap, Levi’s, Zara, Nike, Nike, H&M, and Ralph Lauren, among others, to pay up wages to employees in Bangladesh, as they were facing cancellations of orders north of $15 billion (Bobb, 2020). Thus, there is growing customer interest in the products and how those products reach the store shelves, and blockchain could be an effective method both for consumers and civil society organizations to investigate that process and make their choice. 

Limitations 

Blockchain is a powerful technology with tremendous potential for driving positive changes in supply chain management, but it is not a solution that works magically on its own. There are a number of limitations that need to be addressed. First, we are better informed about the successful applications of blockchain, whereas most blockchain initiatives have failed (Alighieri, 2019). So, businesses need to study both successes and failures in order to identify the optimal implementation plan. 

The second shortcoming is that blockchain is not the only solution, and there could be less complex remedies to address the current issues in supply chains – the argument being that blockchain is a big burden with high alternative costs and low benefits. For example, in 2017, McKinsey released a study titled “Blockchain technology for supply chains—A must or a maybe?”, which suggests that “well-managed central databases with good data management, combined with supply-chain visualization and analytical prowess, can be achieved at scale today,” so there is “a good-enough solution without blockchain” (Alicke et al., 2017). However, blockchain generates more reliable real-time data that can be verified, with the cost to attain this data decreasing as more adopt blockchain. 

Lastly, another potential impact of blockchain technology is that it could create closed ecosystems that are not inclusive and skew the level playing field for smaller businesses. In the federal government, the Department of Homeland Security (DHS) has already taken the initiative to lead the efforts against the potential “walled gardens” effects of blockchain solutions. According to the Science and Technology Directorate under the DHS: “The challenge with blockchain technology is the potential for the development of “walled gardens” or closed technology platforms that do not support common standards for security, privacy, and data exchange… this would limit the growth and availability of a competitive marketplace of diverse.” (Blockchain Portfolio, 2022). To avoid the trap of “walled gardens,” there is a need for both public-private partnerships, as well as cross-disciplinary collaboration among legal experts, computer scientists, and business experts. 

Conclusion 

In the last several years, we have experienced profound changes in last-mile delivery, where customers can track their orders live with updates at every stage of the transit process. However, the upstream supply chain networks have mostly stayed the same for decades. Farmers, container carriers, railways, and large trucks have relied on traditional methods and paper transactions to manage their operations. Blockchain applications could be the turning for stakeholders in the upstream supply chains to step into the modern age. A distributed ledger technology can deliver several benefits to businesses, such as higher risk resiliency due to food traceability. Widespread application of blockchain technologies would also facilitate the job of federal agencies to enforce higher food standards and respond to crises, such as food-borne illness outbreaks. Finally, customers also stand to benefit from more transparent food supply chains, especially in light of trending conscious consumerism.

References

Alicke, K., Davies, A., & Leopoldseder, M. (2017, September 12). Blockchain technology for supply chains–A must or a maybe? McKinsey. Retrieved October 11, 2022, from https://www.mckinsey.com/capabilities/operations/our-insights/blockchain-technology-for-supply-chainsa-must-or-a-maybe

Alighieri, D. (2019, May 20). Why Enterprise Blockchain Projects Fail. Forbes. Retrieved October 12, 2022, from https://www.forbes.com/sites/dantedisparte/2019/05/20/why-enterprise-blockchain-projects-fail

Banqu. (n.d.). BanQu: About. Supply Chain Software – Blockchain Platform. Retrieved October 11, 2022, from https://banqu.co/

Blockchain Portfolio. (2022, January 8). Blockchain Portfolio | Homeland Security. Retrieved October 10, 2022, from https://www.dhs.gov/science-and-technology/blockchain-portfolio

Bobb, B. (2020, July 10). Garment Workers Are Finally Getting Paid The Billions They’re Owed From Brands Like Gap and Levi’s. Vogue. Retrieved October 11, 2022, from https://www.vogue.com/article/remake-payup-campaign-social-media-garment-workers-wages-gap

Chaum, David Lee. 1972. Computer Systems Established, Maintained and Trusted by Mutually Suspicious Groups. University of California, Berkeley

Holmes, T. (2020, July 20). 38% of Americans Are Currently Boycotting a Company, and Many Cite Political and Coronavirus Pandemic-Related Reasons. Lending Tree. Retrieved October 11, 2022, from https://www.lendingtree.com/credit-cards/study/boycotting-companies-political-pandemic-reasons/

Hyperledger Foundation. (n.d.). Walmart Case Study – Hyperledger Foundation. Hyperledger Foundation. Retrieved October 10, 2022, from https://www.hyperledger.org/learn/publications/walmart-case-study

Iakovou, E. I., & White III, C. (2022, September 14). A data-sharing approach for greater supply chain visibility. Brookings Tech Stream. Retrieved October 6, 2022, from https://www.brookings.edu/techstream/a-data-sharing-approach-for-greater-supply-chain-visibility/

NielsenIQ and FMI – The Food Industry Association. (2022, January 25). Transparency in an evolving omnichannel world. NielsenIQ. Retrieved October 11, 2022, from https://nielseniq.com/global/en/insights/report/2022/transparency-in-an-evolving-omnichannel-world/

Sristy, A. (2017, August). Blockchain in the food supply chain – What does the future look like? Walmart One. Retrieved October 11, 2022, from https://one.walmart.com/content/globaltechindia/en_in/Tech-insights/blog/Blockchain-in-the-food-supply-chain.html

Tapscott, D., & Tapscott, A. (2018). Blockchain Revolution: How the Technology Behind Bitcoin and Other Cryptocurrencies Is Changing the World. Penguin Publishing Group.

Walmart Case Study – Hyperledger Foundation. (n.d.). Hyperledger Foundation. Retrieved October 10, 2022, from https://www.hyperledger.org/learn/publications/walmart-case-study

Weitzman, H. (2006, September 8). The bitter cost of ‘fair trade’ coffee. Financial Times. Retrieved October 11, 2022, from https://www.ft.com/content/d191adbc-3f4d-11db-a37c-0000779e2340

Podcast | Data & Truth with danah boyd

The topic of this episode is data and truth. There is a popular saying that we live in a data driven world? But where is data driving us? According to some estimates the amount of data generated over the next 3 years will be more than the amount of data created over the past 30 years. We have immersed ourselves in zettabytes of data to minimize uncertainty, make sense of the world around us and validate every step we take. But how reliable is all this data and can it really help us find the truth? In this episode we look for the answers to this and other questions with prominent scholar Prof danah boyd, whose research examines the intersection between technology and society. She’s a partner researcher at Microsoft, the founder of the well-known non-profit research institute Data & Society, as well as a Distinguished Visiting Professor at Georgetown University, where she taught a graduate course on Data and Politics of Evidence.

Can AI be creative?

More than 2000 years ago, Plato made several interesting references to the notion of creativity, in the Socratic dialogues. In Meno, Socrates claims that “when poets produce truly great poetry, they do it not through knowledge or mastery, but rather by being divinely “inspired” by the Muses”. In another dialogue, Socrates contemplates the origins of new knowledge, which can be interpreted as creative thinking. Socrates wondered how can existing knowledge evolve into new ideas. When asked by Meno, “will we say, of a painter, that he makes something?”, Socrates responded, “no, he merely imitates”.

AI can be very good at imitating and learning from the creative works of humans. The below painting of the Healy Hall at Georgetown University, was produced by the Deep Dream Generator, an AI project sponsored by Google. I put in an image of Healy Hall, chose the “Starry Night” painting of Van Gogh as an overlay, and the program put out this painting within a minute. I find it aesthetically pleasing, but I understand it is not a completely original work. Nonetheless, do not all students of art learn by imitation? Can Artificial Intelligence learn to be truly creative?

AI-generated Painting of Healy Hall at Georgetown University, Washington D.C.

“Creative souls and glory seem,
Submissive and subtle and soft and serene.”

These two lines were produced by another Google project AI poem generator when I put in my keyword, creativity. The algorithm has learned to write poems “by reading over 25 million words written by the 19th-century poets.” Compare that to the below poem written by Lord Byron in 1816 during the First Industrial revolution.

“As the Liberty lads o’er the sea
Bought their freedom, and cheaply, with blood,
So we, boys, we
Will die fighting, or live free,
And down with all kings but King Ludd!”
– Lord Byron, 1816

Creativity is a challenging concept to define, but it is not difficult to recognize. Clearly, on a creativity scale, AI falls far behind Byron. By the way, Byron was not a Luddite but had sympathies for their cause. (Luddites were a radical anti-technology movement in 19th century England.) Interestingly, Lord Byron is also the father of Ada Lovelace, who is often described as the world’s first computer programmer. Lovelace is credited for creating the first algorithm that was put to use in her friend Charles Babbage’s Analytical Engines. Lovelace also proposed that “until a machine can originate an idea that it wasn’t designed to, it can’t be considered intelligent in the same way humans are.”  

In 2001, this approach inspired a group of engineers led by Selmer Bringsjord to come up with the Lovelace test, which many computer scientists consider a better replacement for the outdated Turing test. A computer can pass the Lovelace test only if it produces an outcome it was not programmed to. For example, a novel idea or an original painting. However, there is one more condition of the Lovelace test: the software output should surprise the human designer of the program. She should not be able to tell how the program achieved that outcome.

To this day, it is an open question whether any AI can pass the Lovelace test. In 1997, World Chess Champion Garry Kasparov (originally from my hometown Baku) lost to chess-playing supercomputer Deep Blue. Many people believe that mastering chess is associated with creative thinking. Deep Blue was calculating between 100 and 200 million positions on a 64-square chessboard, but it was following grammatical boundaries prescribed by its designers. The scientists behind Deep Blue at Carnegie Mellon University cannot beat the world champion in chess, but their brainchild can. Deep Blue’s victory over Kasparov marked a major milestone in the development of AI, but it did not prove that AI can be creative.

Maybe the challenge is that creativity belongs in the arts domain, and we are trying to explain it scientifically. Albert Einstein famously said “It would be possible to describe everything scientifically, but it would make no sense. It would be a description without meaning—as if you described a Beethoven symphony as a variation of wave pressure.” The founder of psychoanalysis, Sigmund Freud believed that pain and repression are necessary ingredients for creativity. Does this mean we will have to teach AI to experience pain, so it can be creative?

Humans have been creative since the beginning of days, but across the globe, ancient cultures did not have a word to express creativity. The modern notion of human creativity emerged only in the age of Enlightenment in Europe, and it became a popular catchfrase during the 20th century. People applied it to the course of history and identified it as one of the driving forces behind our evolution. Various studies have demonstrated that even some animals have creative potential, but none of them can be a rival to human creativity. Now, recent breakthroughs in technology have inspired many ideas about the prospective of machines to compete with human creativity. However, there is no conclusive answer due to two reasons: there is no clear philosophical definition of creativity and AI is rapidly evolving.  

References

Devlin, E. (2019, May 2). Create a personalized poem, with the help of AI. Google. https://www.blog.google/outreach-initiatives/arts-culture/poemportraits/

Kaufman, S. B. (2014, May 12). The Philosophy of Creativity. Scientific American Blog Network. https://blogs.scientificamerican.com/beautiful-minds/the-philosophy-of-creativity/

Miller, A. I. (2020, February 1). Machines have learned how to be creative. What does that mean for art? Salon. https://www.salon.com/2020/02/01/machines-have-learned-how-to-be-creative-what-does-that-mean-for-art/

Pearson, J. (2014, July 8). Forget Turing, the Lovelace Test Has a Better Shot at Spotting AI. Vice. https://www.vice.com/en/article/pgaany/forget-turing-the-lovelace-test-has-a-better-shot-at-spotting-ai

Plato. The Republic. (1998). The Project Gutenberg. https://www.gutenberg.org/files/1497/1497-h/1497-h.htm

Privacy Regulations: EU’s GDPR vs China’s PIPL

Published by Georgetown University Gnovis Journal

Since the European Union’s General Data Protection Regulations (GDPR) came into force in 2018, Brussels has become a trailblazer in the field of data privacy regulation. The United States, home to the biggest tech industry in the world, does not have unifying federal legislation on privacy. So, many countries have followed the example of the EU and adopted privacy legislation similar to GDPR, which some observers call another “Brussels effect.” In August 2021, the National People’s Congress of China adopted the Personal Information Protection Law (PIPL), which entered into force November 1, 2021. Essentially, PIPL is quite similar to the GDPR and became another big step towards the government regulation of data handling practices in global cyberspace. This post outlines some of the main similarities and differences between the EU’s GDPR and China’s PIPL.

I. Broad Brush Strokes

GDPR was adopted in 2016 and came into force two years later, while the PIPL in China came into force only two months after it was adopted. In this regard, PIPL gives less time for data handling companies to adjust their practices and is likely to create time pressure for legal compliance. Additionally, GDPR has 11 chapters and is around 88 pages long, while China’s PIPL has 8 chapters and is only 20 pages. So, PIPL does not go into as much detail as GDPR in its provisions, but outlines general legal directives and expects the supervisory executive organizations to work on the specifics (Lee et al). The Cyberspace Administration is likely to take the leading role in supervising the implementation of the PIPL in China. In the European Union, each member state has its own Supervising Authority, which is responsible for enforcing the GDPR. For example, in Germany, it is the Federal Commissioner for Data Protection and Freedom of Information, while in France it is the National Data Protection Authority (aka CNIL).

Both legislations have an extraterritorial reach, which means that any company, independent of its geographic location, is subject to these laws, as long as they process the data of individuals within the boundaries of the law’s jurisdiction. Neither law applies to anonymized data, which refers to any data that cannot be traced back to the individual owner. Both GDPR and PIPL impose less burden or restrictions on small businesses, but PIPL does not specify what exactly constitutes a “small-scale data handler”. GDPR identifies as a small business, companies that have less than 250 employees.

Table 1 shows different terminology used by the European and Chinese authorities, but they generally represent the same ideas. Overall, the two documents are quite similar in terms of how they define private information and the regulations they impose on data collection and processing practices.

II. Legal basis

Both documents emphasize consent as the primary legal basis for data processing. EU’s GDPR states that consent must be “freely given, specific, informed and unambiguous” (GDPR), while China’s PIPL clarifies that “consent shall be given by individuals under the precondition of full knowledge, and in a voluntary and explicit statement” (PIPL). However, in certain cases, consent is not necessary under either legislation. For example, when there is a contractual necessity. This means that if a company needs to collect and process personal information to implement a contract, where the data subject is an interested party, then it is not necessary to obtain individual consent.

GDPR also identifies legitimate interest as a legal basis for processing personal information. If the data-collecting organization has not obtained consent, and cannot show the data use is necessary for the provision of a service contract, then data collection is permissible if the data is needed for “preventing fraud, transmission of personal data within a group of undertakings for internal administrative purposes, including client and employee data; ensuring network and information security, including preventing unauthorized access to electronic communications networks and stopping damage to computer and electronic communication systems; and reporting possible criminal acts or threats to public security to a competent authority” (MacCarthy, p. 61). It is worth noting that in the specific cases of legitimate interest, the data collecting organization needs to notify the data subjects and the latter can rightfully object to it.

Chinese law does not include legitimate interest as a legal basis for data processing but has several provisions, which are not specifically mentioned in GDPR. Under Article 13 of the PIPL data collectors can skip consent, where data collection is necessary: 1) “to conduct human resources management”; 2) “to respond to sudden public health incidents”; 3) “to protect natural persons’ lives and health, or the security of their property, under emergency conditions”; 4) “other circumstances provided in laws and administrative regulations” (DigiChina). Regarding the last provision, as of today, there is no clear information as to what the “other circumstances” imply, and what the role of this clause in the law will be.

III. Automated price difference

Big data has enabled a new marketing strategy, which relies on algorithms to analyze the willingness of an individual to pay for a service or good, and offers prices individually adjusted for each customer. This approach called price discrimination or “big data swindling” is a growing public concern in China (Shazeda). So, in Article 24 of the PIPL Chinese government included a provision, which simply bans automated pricing strategies: “the transparency of the decision-making and the fairness and justice of the handling result shall be guaranteed, and they may not engage in unreasonable differential treatment of individuals in trading conditions such as trade price, etc.”

GDPR also has a provision regarding human profiling and automated decision-making, but not specifically about pricing. Article 22 of the GDPR states that “The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her”, and offers a right to data subjects “to obtain human intervention on the part of the controller, to express his or her point of view and to contest the decision.” This means that by default GDPR does not ban automated pricing, but extends a right to data subjects to contest a price that was offered by an algorithm if they think it is worth their time and effort.

IV. Conclusion

There are more similarities and differences between the GDPR and PIPL, especially if we put them in context and compare the government structures in China and the European Union. However, outside their national realms, looking at their broader international implications these documents represent a new direction in the field of privacy regulation. In this regard, they are essentially similar as they both assume the need for unified government legislation to regulate the flow of private data. China was not the first country that followed the EU’s path and adopted national legislation on privacy, but it is the biggest. Put together, China and the EU account for almost a quarter of the internet users in the world.

References

DigiChina. (2021, October 14). Translation: Personal Information Protection Law of the People’s Republic of China (Effective Nov. 1, 2021).
https://digichina.stanford.edu/work/translation-personal-information-protection-law-of-
the-peoples-republic-of-china-effective-nov-1-2021/

Lee, A., Shi, M., & Chen, Q. (2021, October 14). Seven Major Changes in China’s Finalized Personal Information Protection Law. DigiChina.
https://digichina.stanford.edu/work/seven-major-changes-in-chinas-finalized-personal-
information-protection-law/

MacCarthy, M. (2020). “Enhanced Privacy Duties for Dominant Technology Companies.” 47 Rutgers Computer & Tech. L.J.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3656664

Shazeda, A. (2021, June 30). “Big data swindling.” AI Now Institute. Medium.
https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-81fe13991e31

SixFifty. (2021, September 2).  Privacy Laws Compared: GDPR vs PIPL. Youtube
https://www.youtube.com/watch?v=i08YZlS5vLU

Wolford, B. (2019, February 13). What is GDPR, the EU’s new data protection law? GDPR.Eu.
https://gdpr.eu/what-is-gdpr/

Russian Expectations for Post-Sanctions Iran

by Huseyn Panahov | Feb 19, 2016

Published by The Washington Institute for Near East Policy

Also available العربية

Joint support of Basher al-Assad’s regime has highlighted Moscow and Tehran’s developing political alliance. In contrast, the level of economic cooperation between the two states has historically been very modest: 2014 trade between the two countries amounted to $1.68 billion and was just 0.2% of all Russian foreign trade. Yet now that Iran’s nuclear sanctions have been lifted and Russia has lost many of its trade partners, Moscow is demonstrating a markedly increased interest in economic cooperation with Tehran.

One element driving this interest is Russia’s increasingly restricted trade options in the past few years. Putin’s 2014 military intervention in Ukraine resulted in trade restrictions between Russia and a substantial list of countries that included the European Union, the United States, Japan, Canada, Norway, and Australia. Despite the ensuing economic recession in Russia and the harmful drop in oil prices, the Kremlin also recently cut off economic relations with historic trade partners Ukraine and Turkey. Instead, Russia has begun to offer special trade privileges to Iran.

After meeting with his Iranian counterpart, the Russian minister of agriculture emphasized this new economic interest, stating that, “We need to establish modern logistics [for transportation] of Iranian goods to Russia, to create a ‘green corridor’ on the Russian border for Iranian goods and to ease customs formalities to speed up clearance of Iranian cargoes.” Iranian businessmen may even begin to receive the same tariff-free privileges that are offered to the members of the Kremlin-backed Eurasian Customs Union.

In another effort to foster an economic relationship, Russia organized the largest business exhibition in the history of the countries’ bilateral relations during December 2015. Representatives from over eighty leading Russian companies from defense, energy, and other industries attended the conference in Iran. According to Iranian Press TV, Russian Energy Minister Alexander Novak attended the event and referred to Tehran as Moscow’s “most important economic and trade partner,” adding that the two countries have devised a new trade bundle worth $35 to $40 billion.

The largest element of this package is the agreement that the Russian company Rosatom will construct a new nuclear power plant in Bushehr, Iran, an agreement worth $11 billion. The package also reportedly includes Russian produced satellite-operation equipment and Sukhoi-100 passenger jets, which are jointly worth $21 billion.

A significant part of other recent economic agreements between the two states have related to the defense sector. Months before the nuclear agreement was signed, Moscow resumed its 2007 agreement to deliver five S-300 missile systems to Iran. It had previously reneged on this agreement after the adoption of the United Nations Security Council arms embargo against Iran in 2010. Iran is also planning to purchase Russian Sukhoi-30 fighter jets, which are similar to the American F-15E fighter bomber.

However, the current spate of economic activity between the two states belies the considerable friction that remains between the two countries. When Moscow withheld delivery of the S-300 systems, Tehran filed a lawsuit in International Court against Russia. Iran has agreed to drop the case, but only after Russia delivers the first regiment of the missile systems. Iran has also lost interest in purchasing Russian T90 battle tanks, since according to Ground Force Commander Ahmad Reza Pourdastan, “We were once interested in buying the Russian tanks. But since we can manufacture similar models within the country and we plan to do so in the near future, the deal is now off.”

Relations are further hindered by the fact that conservative and traditionalist Iranian politicians do not consider Russia to be a partner that can be trusted. Iran has a long track record of attacking foreign embassies on its soil, but the Russian diplomatic mission to Tehran is the only one that has been attacked multiple times. An angry mob first attacked the Russian embassy in Tehran in response to the Turkmenchay treaty that ended Russo-Persian war of 1826-1828.  The mob killed the ambassador, who played a key role in negotiating the treaty that had conceded control over the South Caucasus from Persian to the Russian empire. Even today, many Iranians use the term Turkmenchay Treaty to refer to an unfair settlement.

Iranians also attacked the Soviet embassy over a century later in 1988 during the Iran-Iraq war, responding to the Soviet army provision of missiles to Saddam Hussein. Moreover, Iran’s religious leaders found the communists’ atheistic views incompatible with Islam. Soviet intervention in Afghanistan only made matters worse, since the move drove almost a million Afghan refugees to relocate to Iran.

It took the collapse of the Soviet Union for comparatively warm relations to develop between Moscow and Tehran. Shared political animosity against the West and joint support for Assad has brought Russia and Iran closer together. Russia also played a constructive role during Iran’s nuclear negotiations, making no attempts to compromise the negotiation process and helping Iran facilitate the terms of the agreement. On  December 28,  the Russian ship Mikhail Dudin carried 11,000 kilograms of low-enriched uranium material from Iran to Russia via Caspian Sea in order to fulfill one of the key provisions of the nuclear agreement, since Iran could not dilute the uranium domestically. In turn, sanctions relief made Iran a more attractive economic partner, as Iran received $56 billion in unfrozen foreign assets and set the country on a new path towards economic rehabilitation.

Now, Russia wants to convert its recently developed political friendship with Iran into economic benefits. An expert on Iran at the Moscow-based PIR Center think tank, Andrei Baklitskly, explained that, “There is a feeling in Russia that, “We’ve been your friends for all this time and now you should give something to your friends.” However, other experts believe that Russia has already missed its opportunity for a sturdy economic partnership. Prominent Russian expert on Iran Rajab Safarov commented that, “Prior to sanctions relief Russia could be a real queen in Iran, since at the time there was no one else and Iranians were ready to let Russians into their projects without competition.” Now, Iranians may be more discerning since their diplomatic and economic options have widened.

Many Russian economists have also expressed concerns over Iran’s return to the international energy market and its consequences for Russia, a sector where Russia and Iran are natural competitors. Currently, Russia exports around 3.5 million barrels of oil per day to Europe and 988,000 barrels to China. Under sanctions, Iran supplied 992,000 barrels to China and none to Europe, but both numbers are expected to increase substantially through Iran’s post-sanctions oil exports. Considering that neither Europe nor China’s energy market is likely to grow significantly in the near future, Iran’s reentry into the field will shrink Russian shares in both markets.

Tehran has offered a $6.55 discount on oil for European customers in an attempt to regain its share of the market. And in China, Iran has already made considerable headway: during Chinese President Xi Jinping’s official visit to Iran, both sides agreed to increase the bilateral trade tenfold to $600 billion in the next decade. Right after, President Rouhani left for a four-day tour of Europe, where he spoke about a “New Spring” in the relations with the European Union. President Rouhani returned to Iran with dozens of new contracts and memorandums that will help promote Iran’s return to the international market.

Between signing of the JCPOA in July 2015 and lifting of the sanctions in January 2016, Moscow had a special window of opportunity to gain economic benefits from its politico-military friendship with Tehran that may bear fruit in the future. But in return, Russia must now prepare itself for competition: Russia will compete with Iran in the international energy markets while also competing with European, Chinese, and American investors for a slice of the newly opened Iranian market. This will be an especially challenging task in light of the domestic economic challenges that Russia currently faces, but the payoff may be worth it.

Will Iran Keep Its Promises?

by Huseyn Panahov | 2016, February 02

Published on the The Diplomat magazine

When the P5+1 struck a deal with Iran on its nuclear program in July 2015, general expectations were that the sanctions could be lifted as early as spring 2016. Within the agreed Joint Comprehensive Plan of Action (JCPOA), the Iranian Foreign Ministry signed several obligations that needed time for legislative approval and final implementation. However, on January 16, the IAEA experts reported that Iran had already fulfilled all of its obligations; the sanctions were lifted the same day. This was a breakthrough for the Rouhani administration, which needed to complete the deal before elections slated for late this month. The elections will be crucial to determining whether Iran will adhere to the commitments it made under the deal.

The JCPOA does not envisage lifting all sanctions against Tehran, only those tied to the nuclear enrichment program. As noted in the White House summary of the agreement “U.S. statutory sanctions focused on Iran’s support for terrorism, human rights abuses, and missile activities will remain in effect and continue to be enforced.” That means the Iranian Revolutionary Guard Corps (IRGC), which bears the primary responsibility for the crackdown on civil society groups in Iran and supports military proxies across the Middle East, will largely remain under the sanctions.

The IRGC, also known as Pasdaran, was established following Iran’s 1979 Revolution, and was charged with protecting the Islamic system of governance. Nowadays, through its Special Forces branch, known as the Quds Force, the IRGC supports militant groups such as Hezbollah, Hamas, Houthis forces in Yemen and Shiite militias in Iraq. Pasdaran is also the main benefactor of the Assad regime in Syria.

Besides the Special Forces branch, ground, aerospace and naval forces, as well as a 90,000-strong militia, IRGC also owns much of the business sector in Iran. Considering that many high-level officials are former officers of the Revolutionary Guard Corps and through control of major news outlets in Iran (such as Fars News and Tasnim), Pasdaran exerts extensive influence over Iran’s politics. Generally, senior officials affiliated with the IRGC are known as hardliners, opposed to any kind of foreign policy compromise.

In the case of the nuclear deal, the IRGC had several pragmatic reasons to oppose it. First, the nuclear development program in Iran was under the control of the Revolutionary Guards, and it gave them a special edge in Iranian politics. Now they had to give up much of their hard earned achievements: all of the medium-enriched uranium, and 98% of the low-enriched uranium stockpile.

Second, under the sanctions regime the IRGC made billions of dollars on the black markets of Iran. In a 2010 article for Newsweek, Iranian reporter, Babak Dehghanpisheh writes that “the trouble with sanctions is that they squeeze out legitimate businesses and leave the field wide open for the IRGC.” He adds that “the size of Iran’s smuggling industry has been estimated at $12 billion a year, and the IRGC is believed to control much, if not all, of it.”

Third, many of the senior officers and affiliated businesses of the Pasdaran will remain under the sanctions. And last, but not least, even the IRGC entities that do not fall under the sanctions and are engaged in legal businesses in Iran will now have to compete with foreign companies. During the sanctions Revolutionary Guards earned huge revenues by monopolizing almost all major industries in Iran: energy, construction, car manufacturing and telecommunications. So, while repealing the nuclear sanctions will contribute to the overall development of Iran, they will diminish the relative power of the Pasdaran within the country.

That’s why the reformists in Iran, led by President Hassan Rouhani, had to work very hard to avoid the IRGC blocking of the nuclear deal. During his address to the 21st National Assembly of IRGC commanders in September 2015, Rouhani stressed the need for national unity and said that “Today the enemy is not only the Zionists, the Americans and terrorists, but today the enemy is also dust [pollution], unemployment, recession, inflation and loosening of morals and faith in society, which are all dangerous.” Nonetheless, approval of the nuclear deal by the Supreme Leader Ali Khamenei was the only reason IRGC was unable to block it.

The Revolutionary Guards are directly subordinate to the Supreme Leader, whose decision proved vital for the implementation of the agreement. However, in their own way, the IRGC commanders have still tried to compromise the deal. On October 8, 2015, five days before the Iranian parliament voted on the nuclear agreement, the IRGC Commander, Major General Mohammad Ali Jafari, made a public statement warning about a secret U.S. plot. He claimed that “the adoption of the nuclear deal by the Iranian parliament would create a “new atmosphere” that would give Iran’s external and internal enemies more fuel to lead the country away from revolutionary ideals.”

On October 10, the IRGC test-fired a ballistic guided missile, drawing condemnation in the international media. Yet, on October 13, the Iranian Parliament passed the nuclear deal, following the approval of the U.S. Congress a month earlier. It is also hardly a coincidence that a month before Congress was to vote on the nuclear agreement, the Revolutionary Guards announced plans to hold “huge ballistic missile exercises.” The news certainly helped to stir debate in Congress and gave fuel to the arguments of those who opposed the deal.

To date, the IRGC’s efforts to derail the deal have backfired, because a day after the nuclear sanctions were lifted, the U.S. Treasury imposed new sanctions targeting 11 companies and individuals involved in Iran’s ballistic missile program. Meanwhile, the nuclear deal is a loss for the Revolutionary Guards of the Iran, though it’s a major victory for the country as a whole.

It was essential that Rouhani implement the deal before the upcoming elections: This month Iranians will be voting for seats in two major government institutions: parliament and the Assembly of Experts (the supreme council of clerics). An intense power struggle is underway between the reformists and hardliners over the seats in these bodies. On January 21, Iranian reformists called on the Guardian’s Council of Iran to reverse its decision disqualifying 99 percent of the moderate candidates from running for the parliament.

The Assembly of Experts are elected for eight years, and will have the authority to select a successor to the 76-year-old Supreme Leader, in case the latter steps down or is unable to fulfill his duties due to ill health. In short, this month’s elections will largely determine whether Iran will adhere to the commitments it made to the P5+1.

Where Does the Caspian Sea Figure in Russia’s Strategic Calculus?

by Huseyn Panahov | 2015, Oct 23

Published on Eurasianet.org

Russian Defense Minister Sergei Shoigu announced in early October that Russian warships in the Caspian Sea launched 26 missiles against targets in Syria. The revelation caught Western analysts off guard, and demonstrated that the Kremlin has developed in recent years a significantly enhanced ability to project force.
 
According to Russian media reports, ships belonging to the Caspian Flotilla fired a version of 3M14 missiles on October 7 that travelled roughly 1,500 km, hitting targets in the Syrian cities of Raqqa, Idlib and Aleppo. The strategic implications of the Caspian Flotilla’s involvement in the operation are significant.
 
Russian planners clearly meant to send a signal that would reverberate well beyond Syria’s borders: the missile strike had the tactical goal of weakening rebel elements seeking to topple Bashar al-Assad’s regime in Syria. The strategic aim would seem much broader: intimidating governments across the Caucasus and Central Asia.
 
It is worth noting that Russia maintains a Mediterranean naval base at the Syrian port city of Tartus. But none of the 10 Russian warships believed to be operating in the Mediterranean are equipped with the Kalibr system that fires the 3M14 missiles.
 
So why are Russia’s military vessels in the Mediterranean not equipped with the country’s latest missile launching systems? One plausible explanation is that Russia’s Defense Ministry did not have enough time to deploy its most modern warships to the area. But many regional analysts believe the Kremlin’s primary motivation was a strategic desire to exhibit its improved offensive military capacity, which is the product of massive defense spending in recent years.
 
According to Western media reports, Russian involvement in the Syrian conflict was brokered by Qassem Soleimani, a top commander of Iran’s Revolutionary Guards, during his visit to Moscow in July 2014. Following that visit, Russia proceeded rapidly to transform an airfield in Latakia, Syria, into its operational hub for military actions there. Russia had plenty of time, then, to either equip its naval ships at Tartus with Kalibr missile systems, or deploy them at the Latakia airbase. It seems fairly clear that Russian defense planners opted not to.
 
It would have made tactical sense to deploy Kalibr systems to either Tartus or Latakia. The distance from either of those spots to intended targets inside Syria is around 300 kilometers, a much shorter distance than a Caspian Sea-based launch.
 
There is also the matter of cost. Russia could have launched shorter-range missiles from Tartus or Latakia, or tried to achieve the same result with tactical bomber raids. Either option would have had a cheaper price tag than the use of 3M14s. Russia has not disclosed the cost of its 3M14s, but the most analogous missile in the American arsenal is the Tomahawk, which costs around $1.5 million. While it is likely the 3M14s cost the Russian government less to produce, it is reasonable to assume that the 26 rockets launched from the Caspian Sea cost at least $15 million collectively.
 
The 3M14 missiles are believed to have a maximum range of 2,600 kilometers. By demonstrating that it can carry out a successful strike from the Caspian Sea against a distant target, Russia made every government in Central Asia and the Middle East take notice.

On a practical level, the Russian launch from the Caspian has forced at least one civil aviation change. The Kazakhstani carrier Air Astana announced it was altering the route of its Almaty-Baku flight to reduce the risk of a potential missile-related accident. The shoot-down of Malaysian Airlines Flight 17 over eastern Ukraine in July 2014 no doubt helped prompt Air Astana officials to take such action.
 
The political ramifications are harder to discern. Top officials in Central Asia have not publically commented on the appearance of Kalibr missile systems on the Caspian Sea.
 
Silence in this case, however, should not be construed as indifference. The show of Russian force may well have encouraged Central Asian leaders to agree to a Kremlin-backed military cooperation agreement  that was signed during a meeting of CIS leaders in Kazakhstan on October 16. At the summit, Russian President Vladimir Putin warned ominously that the cooperation pact was needed to contain Islamic militants in Afghanistan. “The situation [in Afghanistan] is close to becoming critical,” Putin told a news conference, adding that Islamic militants were aiming “to penetrate the Central Asian region.”
 
Regional media outlets have offered other reasons why Russia decided to launch the missiles from the Caspian Sea. Some see it as a marketing opportunity intended to make 3M14 missiles more attractive to potential foreign buyers. Others suggest it was a domestic propaganda exercise designed to reinforce popular support for the Kremlin’s massive defense expenditures amid generally hard times for the Russian economy. Yet another hypothesis attributes it to vanity: Shoigu, the defense minister, ordered up the raid to please President Putin, who celebrated his 63rd birthday on October 7, the same day as the missile strike.
 
Whatever the reason, or combination of reasons, it is clear that Russia is trying to position itself not only as a political alternative to the United States and European Union, but also as a military rival and counterweight. The main unanswered question at this point is whether Putin’s Russia has a purse large enough to successfully implement that goal.

Data explains: who’s to blame for the Syrian Crisis?

The unfolding crisis in Syria is a subject of intense scrutiny in the global media landscape, yet its root causes remain poorly understood by the public. The narrative pushed by the Assad regime and its allies, accuses vaguely defined Western forces and distracts from the more substantive issues at play. A detailed examination of three statistical trends: demographic shifts, climate change, and growing unemployment rate, yield an evidence-based explanation for the triggers of the spiraling crisis in Syria.

Officially, the ruling party in Syria is still the Arab Socialist Ba’ath Party, which came to power through a coup d’état in 1963. From an economic standpoint, the first years of the Ba’ath party rule were quite successful, due to the close ties of the socialist government with the Soviet Union. In the 1960s, Syrian GDP per capita grew 80% and then peaked during the 1970s with 336% of total GDP growth.[1] The Soviet Union became the  biggest export destination for Syrian agricultural products, oil, and minerals such as phosphate rock. 

Economic prosperity paralleled with global improvements in public health care led to a  population boom in Syria. Traditional Syrian families had 4-5 children, who were seen as extra working hands in the family farmhouses. Agriculture accounted for almost one-third of the Syrian GDP, thus many Syrians were motivated to have more children. Consequently, the population of Syria grew from 4 million in 1950 to 22 million in 2010, which turned into a heavy burden for a socialist government to accommodate, especially as the economy started to slow down.  

The number of Syrians who belong to the age group of 15-24 grew from 2.5 million in 1990 to 4,6 million in 2010, which meant that every year during this period there was a demand for 400 thousand new workplaces.[2] It was a very challenging task for the government that suffered from rampant corruption and lack of proper free-market mechanisms. The honeymoon phase of an economic model that relied mainly on extractive industries was coming to an end, but the population growth was not. Traditional and conservative Syrians look down on either using contraception or generally any attempts to limit family size.[3]

This became an especially heavy burden for the Assad regime, during the drought of 2006 – 2010 in Syria.[4] According to meteorologists the drought and high temperatures during this period were unprecedented in the recorded history of Syria, where winter rainfall decreased by at least a third. In a country where almost 90 percent of fresh water is used for agricultural harvests, such drought devastated the economy. Close to 800 000 farm households were left out of business and nearly 1,5 million Syrians migrated from agricultural regions to the cities.

In March 2011, economically devastated, and politically oppressed, but stimulated by popular revolts in the neighboring countries Syrian citizens in big cities went out on the streets to demand political and economic reforms. Unfortunately, instead of trying to address the problems of Syrian citizens, the Assad regime retaliated by shooting at its people, and the events snowballed into a Civil War from there. 

So, contrary to various narratives promoted by the ousted Assad regime and its sympathizers, the Syrian crisis is not a conspiracy plot of external forces. Syria was impacted by the global technological evolution, decentralized media space, and uprisings in the broader Middle East region. Additionally, the lack of international consensus contributed to the protraction and even escalation of the conflict. As Assad’s army continued to kill its people many countries around the world called for his resignation, but others like Russia and Iran supported the Assad regime, as they did not want to lose an ally in Damascus. However, at the bottom of it all, the root causes of the Syrian crisis are tied to domestic issues: population trends, climate factors and most importantly government mismanagement.


[1] Syria, Country Study Guide: Strategic Information and Developments. Vol. I. Washington DC: International Business Publications, 2013. p. 124

[2] Бологов, Петр. “Война на перекрестке цивилизаций. 10 причин, почему именно Сирия.” 

Slon Magazine, 18 Sept. 2015. https://slon.ru/posts/56638 

[3] Sands, Phil. “Population Surge in Syria Hampers Country’s Progress.” The National. March 6, 2011. Accessed October 1, 2015. http://www.thenational.ae/news/world/middle-east/population-surge-in-syria-hampers-countrys-progress. 

[4] “Did Climate Change Help Spark The Syrian War?” Columbia University: Earth Institute. March 2, 2015. http://www.ldeo.columbia.edu/news-events/did-climate-change-help-spark-syrian-war.

NATO Needs an Emergency Council for Timely Crisis Management 

Authored by Daniel Bennett and Huseyn Panahov

Published on the NATO Source blog of the Atlantic Council

September 24, 2015

At the 2014 NATO Summit and as a response to the Russian invasion of Ukraine, the leaders of the Alliance agreed on a Readiness Action Plan (RAP) to improve NATO’s ability to deal with immediate security threats. The RAP includes a Very High Readiness Joint Task Force (VJTF) of 3,000 – 5,000 troops that can be deployed within 2-7 days. Considering the volatile nature of the current security environment, NATO’s new plan is a timely initiative. However, the RAP leaves open a question about the decision-making mechanism that threatens to undermine its overall efficacy: who authorizes the VJTF to deploy and engage?

In other words, the RAP will enable the Alliance, at the operational level, to rapidly deploy troops in crisis situations, but it lacks the political level decision-making mechanism needed to rapidly initiate the process. Based on current rules and regulations, this decision still rests with the North Atlantic Council (NAC). The NAC is the primary decision-making body of NATO, where high-level representatives of 28 member states hold regular consultations. The NAC holds emergency meetings on occasion, including consultations under Article 4 of the NATO treaty whenever “the territorial integrity, political independence or security of any of the parties is threatened.” Reaching a decision in the NAC is a lengthy process, since every decision needs a unanimous consensus of all member states. Subjecting NATO’s high readiness units to the political lethargy of the NAC’s unwieldy 28-member consensus model undermines its ability to deter incursions in the first place and respond rapidly when they do occur. 

One could argue that tying the VJTF to the NAC may actually create a greater political advantage for aggressors, such as Russia, who deftly calculate their actions to intentionally create discord and paralysis within the NAC. For adversaries planning to use such hybrid strategies, the insertion of one more decision-point requiring NAC debate increases the time between when their incursion takes place and the eventual response, allowing more latitude for aggressors to consolidate gains while NATO debates the appropriate course of action. This encourages further aggression. 

NATO is aware of this challenge. At the last Defense Ministerial, members collectively recommended that special powers be granted to the Supreme Allied Commander Europe (SACEUR) to streamline the decision making process by readying the VJTF without NAC approval. While a step in the right direction, this does not eliminate the proverbial “chokepoint” of requiring complete agreement at the NAC for the decision to actually deploy the VJTF. 

To resolve this problem, NATO members should agree on a mechanism that respects the overall authority of the NAC, while delegating the decision to deploy at least part of the VJTF to an “Emergency Council” (EC). The EC should consist of three parties – a representative of the VJTF lead country (these rotate every year), the NATO Secretary General, and NATO military commander, SACEUR. The EC would greatly streamline NATO’s decision making process during times of crisis, so VJTF troops can actually be deployed within hours, instead of days. 

Considering the magnitude of this responsibility, the EC would need detailed procedural guidelines. The NAC would retain overall control by reviewing the decision of the EC and ultimately deciding if deployment should be recalled. The NAC would also decide the duration of the VJTF’s deployment. The NAC would review the EC decision to deploy as soon as possible after it was made. 

If we compare the EC to the internal decision-making process of a country, in some NATO members the head of state can deploy troops and initiate a war for limited periods of time. However, long-term military engagements often also require the approval of legislative institutions. The reasoning behind granting such authority to one person is to ensure the state responds to national security threats as quickly as possible. 

A similar precedent also exists in NATO itself. On January 30, 1999, amid a rapidly deteriorating crisis in Kosovo, the NAC empowered Secretary General Javier Solana to authorize airstrikes against targets in Yugoslavian territory at his own discretion if he deemed them necessary to halt the crisis, without the need to further consult the NAC. In March, further authority was granted for the Secretary General to authorize a broader range of air operations in Yugoslavia. These decisions by the NAC were explicitly taken to “contribute to creating the conditions for a rapid and successful negotiation on an interim political settlement.” Such a precedent establishes the feasibility of the NAC granting limited deployment decision-making authority to individual alliance leaders specifically to allow for rapid military reaction in time-sensitive situations, whether to expedite a political agreement, halt the ongoing military actions of an opponent, or deter future aggression. 

In a similar fashion, the EC would allow NATO to become more united and agile in response to contemporary time-sensitive threats. We live at a time when various non-state actors, self-proclaimed states, terrorist organizations, and authoritarian regimes demonstrate undeterred aggression and are ready to exploit any vulnerability to achieve their ambitions. As Russian hybrid tactics demonstrate, this includes vulnerabilities in NATO’s political decision-making structure.

Today, NATO remains the largest military alliance in history. However, it’s not only sheer size that matters, but also the agility and speed of forces to respond to rapid changes in the security dynamic. Given the volatile nature of the security environment in Europe, even a one-day delay could come at a high cost. For this reason, NATO should consider developing an Emergency Council that can trigger a defensive deployment when a threat requires an immediate response.