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21. Protecting Democracy Online in 2024 and Beyond

Author:
Megan Shahi
Publication Date:
09-2023
Content Type:
Special Report
Institution:
Center for American Progress - CAP
Abstract:
This new report specifically anticipates risks to and from the major social media platforms in the 2024 elections, continuing CAP’s work to promote election integrity online and ensure free and fair elections globally. The report’s recommendations incorporate learnings from past elections and introduce new ideas to encourage technology platforms to safeguard democratic processes and mitigate election threats. In a world without standardized global social media regulation, ensuring elections are safe, accessible, and protected online and offline will require key actions to be taken ahead of any votes being cast—both in 2024 and beyond.
Topic:
Politics, Science and Technology, Elections, Democracy, Social Media, and Artificial Intelligence
Political Geography:
Europe, India, Global Focus, and United States of America

22. Café Evropa: Artificial Intelligence: opportunity or threat?

Author:
Tereza Konrádová
Publication Date:
06-2023
Content Type:
Special Report
Institution:
Europeum Institute for European Policy
Abstract:
As part of the programme of the World of Books festival, which took place on 11 May at the Prague Exhibition Grounds, there was also a Café Evropa debate on: Artificial Intelligence: opportunity or threat?
Topic:
Science and Technology, Artificial Intelligence, and Opportunity
Political Geography:
Europe and Czechia

23. Integrating Earth observation IMINT with OSINT data to create added-value multisource intelligence information: A case study of the Ukraine–Russia war

Author:
Ioannis Kotaridis and Georgios Benekos
Publication Date:
09-2023
Content Type:
Journal Article
Journal:
Security and Defence Quarterly
Institution:
War Studies University
Abstract:
The Russian invasion of Ukraine on 24 February 2022 heralded a new “social media war” era. This “hybrid warfare” extends beyond the military landscape and includes attacks in cyberspace and fake news with the aim of destabilising governments. The goal of this paper is to present a high-level of architecture based on imagery intelligence (IMINT) and geospatial intelligence (GEOINT) using geographic datasets and state-of-the-art methods. Integration with intelligence information (like Open-Source Intelligence [OSINT]) produces multiintelligent knowledge for security and defence decision-making end users. The results depict a harmonious and creative collaboration between IMINT, OSINT, and GEOINT. OSINT data helps to identify and describe the meteorological conditions that are present, contributing to the procedure’s responsiveness. Weather and dense cloud cover above Ukraine poses a challenge for optical imaging satellites, but synthetic aperture radar (SAR) sensor satellites can operate at night and overcome the problem. We carried out OSINT and IMINT analysis, monitoring the situation shortly after the invasion. OSINT data helped in the choice of an appropriate area of interest. Using the right Earth observation satellite system and artificial intelligence/machine learning algorithms is the best way to keep an eye on many different sites over long periods, send out alerts about unusual activity, and find new places where incoherent changes might be happening.
Topic:
International Security, Artificial Intelligence, Hybrid Warfare, Military, Russia-Ukraine War, and Open Source Intelligence (OSINT)
Political Geography:
Russia, Europe, and Ukraine

24. Artificial intelligence: Europe needs to start dreaming again

Author:
Niccolò Bianchini and Lorenzo Ancona
Publication Date:
11-2023
Content Type:
Working Paper
Institution:
Robert Schuman Foundation (RSF)
Abstract:
To date, there is no universally accepted definition of artificial intelligence (AI). However, a number of definitions do capture the fundamental aspects, such as the one updated by the OECD, from an earlier version in 2019, which will probably be integrated into the law on artificial intelligence now under discussion in the European Union. This definition stipulates: “An AI system is one that is based on a machine which, for explicit or implicit purposes, deduces, from the inputs it receives, how to generate outputs such as predictions, content, recommendations or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptability once deployed”. This draws a broad perimeter, which is useful for framing the largest number of existing AI technologies and, although it does not consider the human component, it clarifies the operation of AI technologies as statistical inference systems which, from the processing of inputs, generate different types of output. But this definition ignores other essential elements of artificial intelligence. As immediate as it is provocative, it must be made clear that AI is neither intelligent nor artificial. As Kate Crawford, co-founder of the University of New York’s AI Now Institute, artificial intelligence is not a synthetic product but “comprises natural resources, fuels, human labour, data, infrastructure and classifications”, which illustrate the extent to which economic, political and technical dynamics are central. As far as intelligence is concerned, Luciano Floridi, founder of the Digital Ethics Center of Yale University, speaks of “artefacts with the ability to act without being intelligent”, i.e. to carry out tasks without having any autonomous consciousness, but solely thanks to computing power and statistical inferences. These details are not mere philosophical flights of fancy, but the premises of a conscious reflection on the subject. While the general public discovered AI with ChatGPT a year ago, it is worth pointing out that generative AI, which forms its base, is just one of the different types of AI, and that various AI applications were already present in our daily lives. These include the algorithms in social networks used to recommend content, predictive analysis for finance or programmes for diagnosing and personalising therapies in medicine. Once these doubts have been dispelled, some of the considerations raised so far can be assessed. The transformative nature of this technology is clear : AI has the potential to revolutionise different areas of human experience and, more profoundly, to change reality and the very role of human beings within it[1]. Among the various fields of application, the world of work is under particular scrutiny, with several analyses which forecast major business changes and a significant impact on productivity. The challenge of AI has recently been taken up by the international community, notably at the regulatory level. Great effort is being made to ensure future-proof legislative action, given the extremely rapid evolution of AI technologies, in particular the rise of fundamental models. Although a number of recent initiatives, such as the Executive Order issued by American President Biden, the summit on AI security at Bletchley Park, the G7’s Code of Conduct and the world AI governance initiative launched by China, reflect the growing awareness of this issue, the European Union is proving to be a forerunner in regulating this technology with the law on AI. This is why, according to Anu Bradford, a theoretician behind the Brussels Effect “it is reasonable to expect that the European regulatory role will continue. What's more, the European Union is influencing other players in this field: the United States is steadily moving towards the European model, abandoning one that is purely libertarian”[2]. Beyond this, the industrial development of AI technologies has been underway for some time, and is shaping up to be a new arena of fierce confrontation between global players. Indeed, it is likely that the market-led US model, the state-led Chinese model and the rights-led European model will clash not only in a global regulatory challenge, but also in terms of technological development.
Topic:
Development, Science and Technology, Regulation, and Artificial Intelligence
Political Geography:
Europe

25. How to Curb Investments in Chinese Technology: Initiatives and Debates in the United States

Author:
Mathilde Velliet
Publication Date:
08-2023
Content Type:
Policy Brief
Institution:
Institut français des relations internationales (IFRI)
Abstract:
In a continuation of U.S. efforts to slow China's development and acquisition of strategic technologies, Washington has imposed new restrictions on American investment in Chinese technology sectors such as artificial intelligence (AI), quantum, and semiconductors. On August 9, 2023, President Biden issued an unprecedented executive order, announcing notification requirements and prohibitions for U.S. tech investments in China. Three sectors are targeted: semiconductors, quantum information technology, and artificial intelligence. Washington’s main concern is that these investments are accompanied by technology transfers and “intangible benefits” contributing to the development of Chinese military capabilities. This concern, first voiced in the 1980s, has received a heightened political response since 2018. Considering the emerging consensus in Congress and the multiplication of bills, further measures are likely to be adopted in the coming months. The European Union and certain Member States are beginning to reflect on the consequences of U.S. measures, and on the relevance of adopting their own tools to control investment in China.
Topic:
Science and Technology, European Union, Investment, Artificial Intelligence, Quantum Computers, and Semiconductors
Political Geography:
China, Europe, Asia, and United States of America

26. The sixth domain: The role of the private sector in warfare

Author:
Franklin D. Kramer
Publication Date:
10-2023
Content Type:
Special Report
Institution:
Atlantic Council
Abstract:
The United States and its allies have for some time recognized, as NATO doctrine provides, five operational domains—air, land, maritime, cyberspace, and space.1 Each of those arenas fully fits with the understanding of a domain as a “specified sphere of activity” and, in each, militaries undertake critical wartime actions. But in the ongoing Ukraine-Russia war, certain key operational activities have been undertaken by the private sector as part of the conduct of warfare.2 By way of example, private-sector companies have been instrumental both in providing effective cybersecurity and in maintaining working information technology networks. As part of such efforts, these firms have established coordinated mechanisms to work with relevant government actors. These operational and coordinated activities by the private sector demonstrate that there is a “sixth domain”—specifically, the “sphere of activities” of the private sector in warfare—that needs to be included as part of warfighting constructs, plans, preparations, and actions if the United States and its allies are to prevail in future conflicts. As will be elaborated below, that sphere of activities focuses mainly on the roles of information and critical infrastructures, including their intersections—ranging from the transmission and protection of information to the assurance of critical infrastructure operations. Many of the United States’ activities in the sixth domain will take place in the United States homeland. However, while “defending the homeland” is listed as the first priority in the 2022 National Defense Strategy, insufficient attention has been paid to the actions that will be required of the private sector beyond just the defense industrial base as part of accomplishing an effective defense.3 Likewise, when US military forces are engaged in overseas combat, private-sector companies in allied countries (as well as US companies operating overseas) will be critical for the effectiveness of US forces, as well as for the allies’ own militaries. In short, establishing an effective strategy for the private sector in warfare is a key requirement for the United States and its allies.
Topic:
Cybersecurity, Drones, Artificial Intelligence, Private Sector, Defense Industry, and Russia-Ukraine War
Political Geography:
Russia, Europe, Ukraine, and United States of America

27. Artificial Intelligence and the Clustering of Human Capital: The Risks for Europe

Author:
Erik van der Marel
Publication Date:
12-2023
Content Type:
Working Paper
Institution:
European Centre for International Political Economy (ECIPE)
Abstract:
Europe trails the global frontier of productivity growth and the region’s trend is sluggish. Much prospective economic growth for Europe is likely to come from AI and its adoption by European firms which is projected to shoot up the productivity trend. For such AI-generated growth to work, high levels of human capital need to be available for firms, in particular Science, Technology, Engineering, and Mathematics (STEM) graduates. However, much of this human capital for AI is leaving Europe and the region experiences a net outflow when it comes to the skills required to make AI work. Moreover, the spread of both human capital and AI is very uneven within Europe, with some in the West spearheading whilst others in the East are trailing. This paper shows that those regions in Europe that successfully have invested in human capital in the past explain more than one-third of AI adoption by their firms a decade later. Furthermore, this persistent trend is driven by the most human capital-intense firms as they explain more than 50 percent of the observed adoption of AI across Europe. The clustering of human capital is very persistent over time and those that lag in human capital now will weigh down Europe’s ability in generating AI-related growth in the future. This will likely have long-lasting effects for Europe as a whole, defining its capacity to catch up to the global frontier or amplifying the region’s slow-moving growth and productivity trend. Policy makers who are serious about creating growth in the future on the back of AI should therefore invest in human capital now, or else Europe will further fall behind.
Topic:
European Union, Economic Growth, Human Capital, and Artificial Intelligence
Political Geography:
Europe

28. Skills or a degree? The rise of skills-based hiring for AI and green jobs

Author:
Fabian Stephany and Eugenia Gonzalez Ehlinger
Publication Date:
12-2023
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
For emerging professions, such as jobs in the field of artificial intelligence (AI) or sustainability (green), labour supply does not meet industry demand. In this scenario of labour shortages, our work aims to understand whether employers have started focusing on individual skills rather than on formal qualifications in their recruiting. By analysing a large time series dataset of around one million online job vacancies between 2019 and 2022 from the United Kingdom, and drawing on diverse literature on technological change and labour market signalling, we provide evidence that employers have started so-called ‘skill-based hiring’ for AI and green roles, as more flexible hiring practices allow them to increase the available talent pool. In our observation period the demand for AI roles grew twice as much as average labour demand. At the same time, the mention of university education for AI roles declined by 23 percent, while AI roles advertise five times as many skills as job postings on average. Our regression analysis also shows that university degrees no longer show an educational premium for AI roles, while for green positions the educational premium persists. In contrast, AI skills have a wage premium of 16 percent, similar to having a PhD (17 percent). Our work recommends making use of alternative skill building formats such as apprenticeships, on-the-job training, MOOCs (massive open online courses), vocational education and training, micro-certificates and online bootcamps to use human capital to its full potential and to tackle talent shortages.
Topic:
Education, Employment, Artificial Intelligence, Skilled Labor, and Green Jobs
Political Geography:
Europe

29. The competitive relationship between cloud computing and generative AI

Author:
Christophe Carugati
Publication Date:
12-2023
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Cloud computing providers and generative artificial intelligence (GenAI) providers nurture a close, interdependent relationship: GenAI providers need cloud providers to train, run and deploy their GenAI solutions, while cloud providers see GenAI providers as a business driver to grow their market shares in cloud and related markets, such as productivity software or search engines. The cloud/GenAI relationship takes various forms, including exclusive and strategic partnerships, especially between large cloud providers and GenAI providers across all parts of the cloud market, including infrastructure, platforms and software. Competition benefits and risks are likely to result from the relationships. Competition benefits arise from increased competition and innovation in the cloud and GenAI sectors. Risks relate to potential concentrations arising from the partnerships between cloud and GenAI providers, and from anticompetitive practices, including discrimination in the supply of IT equipment by dominant IT providers, interoperability obstacles to switching, use of business-user data, self-preferencing of cloud services over third parties, tying and pure bundling. Merger control and antitrust laws can address some of the competition risks, while laws, including the European Union’s Digital Markets Act and Data Act, can deal with competition issues in digital markets and the cloud sector. Nevertheless there are gaps. The European Commission should amend existing EU instruments, including by changing the definition of a concentration under merger control, and should specify interoperability requirements for cloud providers under the Data Act. The Commission should also closely monitor developments in and outside Europe through market investigations, including with international counterparts, and should intervene to tackle imminent competition risks using fast procedural tools, such as interim measures.
Topic:
European Union, Antitrust Law, Artificial Intelligence, Cloud Computing, and Competition
Political Geography:
Europe and Global Focus

30. Digital Surveillance in Serbia

Author:
Belgrade Centre for Security Policy (BCSP)
Publication Date:
07-2023
Content Type:
Commentary and Analysis
Institution:
Belgrade Centre for Security Policy (BCSP)
Abstract:
People’s ever-stronger reliance on digital technologies and devices has caused states and private actors to increasingly reach for various systems and tools for the digital surveillance of citizens. Consequently, high-resolution cameras, artificial intelligence, programmes for biometric recognition, tools for automatic data collection from the Internet, and intrusive software for monitoring mobile phones have become the everyday reality of people worldwide. The spread of digital surveillance in Serbia is highly non-transparent, and especially dangerous since Serbia has been assessed as a captured state characterised by the abuse of state resources for the sake of personal and party interests. Although the reports by the media and investigative journalists are important, they are focused on individual cases, which makes it difficult to get a broader picture of the scale of the digital surveillance problem in Serbia based on them. That is why it is important, starting from the existing reports, to map the digital surveillance infrastructure in Serbia, i.e. to make a list of digital surveillance equipment and programmes the state institutions have acquired, determine whether they are competent and authorised to use them, and how these technologies are misused. Since Serbia is striving to become a member of the European Union (EU), it is also important to show how the EU is attempting to regulate this area.
Topic:
Science and Technology, European Union, Surveillance, Institutions, and Artificial Intelligence
Political Geography:
Europe and Serbia