Search

Begin New Search Topic Artificial Intelligence Publication Year within 3 Years

81. Buffer or Bottleneck? Employment Exposure to Generative AI and the Digital Divide in Latin America

Author:
Paweł Gmyrek, Hernan Winkler, and Santiago Garganta
Publication Date:
11-2024
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
Abstract:
Empirical evidence on the potential impacts of generative artificial intelligence (GenAI) is mostly focused on high-income countries. In contrast, little is known about the role of this technology on the future economic pathways of developing economies. This paper contributes to fill this gap by estimating the exposure of the Latin American labor market to GenAI. It provides detailed statistics of GenAI exposure between and within countries by leveraging a rich set of harmonized household and labor force surveys. To account for the slower pace of technology adoption in developing economies, it adjusts the measures of exposure to GenAI by using the likelihood of accessing digital technologies at work. This is then used to assess the extent to which the digital divide across and within countries will be a barrier to maximize the productivity gains among occupations that could otherwise be augmented by GenAI tools. The findings show that certain characteristics are consistently correlated with higher exposure. Specifically, urban-based jobs that require higher education, are situated in the formal sector, and are held by individuals with higher incomes are more likely to come into interaction with this technology. Moreover, there is a pronounced tilt toward younger workers facing greater exposure, including the risk of job automation, particularly in the finance, insurance, and public administration sectors. When adjusting for access to digital technologies, the findings show that the digital divide is a major barrier to realizing the positive effects of GenAI on jobs in the region. In particular, nearly half of the positions that could potentially benefit from augmentation are hampered by lack of use of digital technologies. This negative effect of the digital divide is more pronounced in poorer countries.
Topic:
Employment, Digital Economy, Artificial Intelligence, and Labor Market
Political Geography:
Latin America

82. The state of the UK economy 2024

Author:
UK in a Changing Europe
Publication Date:
01-2024
Content Type:
Special Report
Institution:
UK in a Changing Europe, King's College London
Abstract:
The state of the UK economy is always an important matter, but it is all the more so in what looks likely to be an election year. This UK in a Changing Europe report takes stock of the UK economy in order to assess how it can break from the current economic and political ‘doom loop’. The report provides a constructive framework to address the need for a longer-term, joined up approach in policy areas, ranging from education to immigration, to public services and artificial intelligence. It shows that there is no single silver bullet for the problems facing the UK economy, however a number of themes have emerged. The UK has long been plagued by short-termism and political instability which needs to be addressed. Edited by Senior Fellow Professor Jonathan Portes, it brings together leading UK academics on the economy from universities across the UK, the Migration Observatory, the Institute for Fiscal Studies and other research institutions.
Topic:
Education, Industrial Policy, Migration, Economy, Tax Systems, Macroeconomics, Trade, Artificial Intelligence, Housing, Labor Market, Public Service, Productivity, and Net Zero
Political Geography:
United Kingdom and Europe

83. What should be done about Google’s quasi-monopoly in search? Mandatory data sharing versus AI-driven technological competition

Author:
Bertin Martens
Publication Date:
07-2023
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
The first part of this paper focuses on competition between search engines that match user queries with webpages. User welfare, as measured by click-through rates on top-ranked pages, increases when network effects attract more users and generate economies of scale in data aggregation. However, network effects trigger welfare concerns when a search engine reaches a dominant market position. The EU Digital Markets Act (DMA) imposes asymmetric data sharing obligations on very large search engines to facilitate competition from smaller competitors. We conclude from the available empirical literature on search-engine efficiency that asymmetric data sharing may increase competition but may also reduce scale and user welfare, depending on the slope of the search-data learning curve. We propose policy recommendations to reduce tension between competition and welfare, including (a) symmetric data sharing between all search engines irrespective of size, and (b) facilitate user real-time search history and profile-data portability to competing search engines. The second part of the paper focuses on the impact of recent generative AI models, such as Large Language Models (LLMs), chatbots and answer engines, on competition in search markets. LLMs are pre-trained on very large text datasets, prior to usage. They do not depend on user-driven network effects. That avoids winner-takes-all markets. However, high fixed algorithmic learning costs and input markets bottlenecks (webpage indexes, copyright-protected data and hyperscale cloud infrastructure) make entry more difficult. LLMs produce semantic responses (rather than web pages) in response to a query. That reduces cognitive processing costs for users but may also increase ex-post uncertainty about the quality of the output. User responses to this trade-off will determine the degree of substitution or complementarity between search and chatbots. We conclude that, under certain conditions, a competitive chatbot markets could crowd out a monopolistic search engine market and may make DMA-style regulatory intervention in search engines redundant.
Topic:
Science and Technology, Governance, European Union, Digital Economy, Innovation, Artificial Intelligence, and Competition
Political Geography:
Europe

84. Antitrust issues raised by answer engines

Author:
Christophe Carugati
Publication Date:
06-2023
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Rapid development of generative artificial intelligence chatbots like ChatGPT is leading search engine providers to move from search to answer engines. Unlike search engines, which provide search results in the form of blue links to content creators, answer engines generate personalised answers through a conversation with end users. This revolution impacts the internet ecosystem of content creators and the digital advertising market. This paper outlines some early antitrust issues related to answer engines, from the transition from search to answer engines (sections 2 and 3) and the response competition authorities should adopt (section 4). It finds that search and answer engines complement and compete with each other. While the answer-engine market is still at an early stage of development, it already raises some competition issues in relation to data scraping, vertical integration and unfair terms and conditions. Intervention by competition authorities is more likely than not to prevent market power in this new market. In this regard, competition authorities should act to preserve dynamic competition and minimise adverse effects on content creators. Finally, the paper concludes with several research questions for future research (section 5).
Topic:
Science and Technology, Governance, European Union, Digital Economy, Innovation, Artificial Intelligence, and Competition
Political Geography:
Europe

85. Artificial intelligence adoption in the public sector: a case study

Author:
Laura Nurski
Publication Date:
03-2023
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
This case study illustrates the drivers of and barriers to artificial intelligence adoption by organisations, and acceptance of AI by workers in the public sector. Several factors were crucial in the successful adoption of a human-centred approach to AI, including a fast discovery phase that involved workers (or end users) in the development early on, and aligning human resources, information technology and business processes. Subsidy support mechanisms were also specifically targeted and acquired to support the adoption. However, making AI support available to workers proved insufficient to ensure its widespread usage throughout the organisation. The slow adaptation of existing work processes and legacy IT systems was a barrier to the optimal usage of the technology. Moreover, the usefulness of the technology depended on both the task routineness and worker experience, thereby necessitating a rethinking of the work division between technology and workers, and between junior and senior workers. Successful human-centred roll-out of AI in Europe will therefore depend on the availability of, or investments in, complementary intangible organisational capital. Very little is currently known about these investments.
Topic:
Digital Economy, Economic Growth, Public Sector, Innovation, Artificial Intelligence, Inclusion, and Work
Political Geography:
Global Focus

86. De-risking authoritarian AI: A balanced approach to protecting our digital ecosystems

Author:
Simeon Gilding
Publication Date:
07-2023
Content Type:
Special Report
Institution:
Australian Strategic Policy Institute (ASPI)
Abstract:
Artificial intelligence (AI)–enabled systems make many invisible decisions affecting our health, safety and wealth. They shape what we see, think, feel and choose, they calculate our access to financial benefits as well as our transgressions, and now they can generate complex text, images and code just as a human can, but much faster. So it’s unsurprising that moves are afoot across democracies to regulate AI’s impact on our individual rights and economic security, notably in the European Union (EU). But, if we’re wary about AI, we should be even more circumspect about AI-enabled products and services from authoritarian countries that share neither our values nor our interests. And, for the foreseeable future, that means the People’s Republic of China (PRC)—a revisionist authoritarian power demonstrably hostile to democracy and the rules-based international order, which routinely uses AI to strengthen its own political and social stability at the expense of individual human rights. In contrast to other authoritarian countries such as Russia, Iran and North Korea, China is a technology superpower with global capacity and ambitions and is a major exporter of effective, cost-competitive AI-enabled technology into democracies.
Topic:
Security, Science and Technology, Authoritarianism, Cybersecurity, and Artificial Intelligence
Political Geography:
China and Asia-Pacific

87. Digital China: The Strategy and Its Geopolitical Implications

Author:
David Dorman and John Hemmings
Publication Date:
02-2023
Content Type:
Working Paper
Institution:
Pacific Forum
Abstract:
Over the past few years, there has been growing concern inside the United States, Europe, and in the Indo-Pacific on the strategic direction behind China’s technology policies. Beginning with the debate over 5G and Huawei, this debate has covered Artificial Intelligence (AI), quantum teachnology, and semi-conductors – a foundational technology. And despite a large number of policies in place – Made in China: 2025, Cyber Super Power, and the New Generation AI Development Plan – few in the West have known China’s overall digital grand strategy. In the first installment of a three-part research project, Dr. Dorman and Dr. Hemmings lay out the rise of China’s overall digital grand strategy, Xi’s role in it, and how it has been organized to fulfil Party objectives. The report tracks the rise of the strategy over the past 10 years, the acceleration of that rise during the Covid-19 pandemic, and the current state of the strategy. In particular, it finds Digital China has been supported and designed by General Secretary Xi Jinping himself, and is a bid to make China more competitive vis a vis the West through the digital transformation of rules, institutions, and infrastructure at the national level. Over the past few years, the strategy has risen to become the “overall” strategy for digital development in the eyes of the Chinese Communist Party leadership, bigger than the Digital Silk Road, deeper than the Belt and Road Initiative, more far reaching than 5G or AI, more important than Made in China: 2025, and wider than Cyber Great Power. A renewed Digital China seeks to challenge a hegemonic global system anchored to a previous age. A successful Digital China has profound implications for China’s developmental path, great power competition, and for the norms that will undergird the international system for decades to come. The Party leadership has re-written Marxist economic theory in its bid to incorporate “data” as the basis of its digital economy and in order to foster a Chinese “Digital Marxism”. Digital China seeks to whet the “sharp weapon” of innovation to facilitate its great power rise and challenge to the West. Beijing is testing whether innovative thinking can be created through the digital transformation of tools, talent, and learning. The US and its allies have begun to effect strategic counter-effect to the myriad of PRC technology policies, there is almost zero understanding or public discussion of this digital grand strategy. Whether inattention, mistranslation, or obfuscation, Digital China has been mostly missed by the West over the past decade.
Topic:
Science and Technology, Cybersecurity, Innovation, and Artificial Intelligence
Political Geography:
China, Asia, and Indo-Pacific

88. Arms Control Tomorrow: Strategies to Mitigate the Risks of New and Emerging Technologies

Author:
Shannon Bugos
Publication Date:
05-2023
Content Type:
Special Report
Institution:
Arms Control Association
Abstract:
Over recent years, the topic of new and emerging technologies with military applications has ignited a dynamic debate among defense officials, political leaders, diplomats, policy experts, and technical experts. This report provides an overview of the potentially destabilizing effects of several new and emerging technologies and their respective military applications. It aims to provide decision-makers with a better understanding of how to mitigate the risks and reduce the chances that a major power conflict or confrontation escalates to the nuclear level through a range of arms control and risk reduction measures. This report focuses on six significant, distinct emerging military capabilities: hypersonic weapons systems, direct offensive cyberoperations, offensive counterspace capabilities, artificial intelligence (AI)-enabled capabilities, drones, and lethal autonomous weapons systems. This report distills information and ideas from a series of workshops, involving dozens of technical and policy experts in each technology area, that the Arms Control Association conducted in 2021 and 2022. It identifies four overarching themes that highlight the greatest concerns over how the military employment of new and emerging technologies might increase the risk of nuclear weapons use. Increasing the pace of conflict. Increasing uncertainty. Reducing the human role. Incentivizing arms racing. This report identifies near-term risk mitigation measures that are likely achievable now or within the next five years: crisis communications systems, definition establishment, norms, unilateral declarations and actions, and confidence-building measures. This report also outlines long-term measures that are achievable within the next 10 years or beyond: arms control and risk reduction arrangements (e.g., treaties, agreements) that involve more than one country and are more formal than confidence-building measures, although not necessarily legally binding.
Topic:
Arms Control and Proliferation, Science and Technology, Cybersecurity, Risk, and Artificial Intelligence
Political Geography:
Global Focus

89. Mastering the Digital Age: Understanding Artificial Intelligence and Regulation

Author:
Olivia J. Erdelyi
Publication Date:
03-2023
Content Type:
Journal Article
Journal:
Brown Journal of World Affairs
Institution:
Brown Journal of World Affairs
Abstract:
In recent years, news about a mysterious new technology referred to as artificial intelligence (AI) has been everywhere. Even for the most tech-averse individuals, it is virtually impossible to remain oblivious to AI’s existence. While there is positive news establishing a craving for it, blunders and scandals are not far behind, invoking the wrath of the public and calls for reigning in the ac- tors, mostly perceived to be tech companies, that endanger democratic rights. 1 Leveraging the benefits provided by modern information and communication technologies, people rush to take part in the public discourse of the hour, forming strong opinions before understanding the topic. While eye-catching headlines and impassioned debates continue to spread online, few understand the concept of AI. This scenario presents a problem, as mastering the digital age requires some AI literacy.
Topic:
Science and Technology, Regulation, Artificial Intelligence, and Digital Policy
Political Geography:
Global Focus

90. Trusting AI: Integrating Artificial Intelligence into the Army’s Professional Expert Knowledge

Author:
C. Anthony Pfaff, Christopher J. Lowrance, Bre M. Washburn, and Brett A. Carey
Publication Date:
02-2023
Content Type:
Special Report
Institution:
The Strategic Studies Institute of the U.S. Army War College
Abstract:
Integrating artificially intelligent technologies for military purposes poses a special challenge. In previous arms races, such as the race to atomic bomb technology during World War II, expertise resided within the Department of Defense. But in the artificial intelligence (AI) arms race, expertise dwells mostly within industry and academia. Also, unlike the development of the bomb, effective employment of AI technology cannot be relegated to a few specialists; almost everyone will have to develop some level of AI and data literacy. Complicating matters is AI-driven systems can be a “black box” in that humans may not be able to explain some output, much less be held accountable for its consequences. This inability to explain coupled with the cession to a machine of some functions normally performed by humans risks the relinquishment of some jurisdiction and, consequently, autonomy to those outside the profession. Ceding jurisdiction could impact the American people’s trust in their military and, thus, its professional standing. To avoid these outcomes, creating and maintaining trust requires integrating knowledge of AI and data science into the military’s professional expertise. This knowledge covers both AI technology and how its use impacts command responsibility; talent management; governance; and the military’s relationship with the US government, the private sector, and society.
Topic:
Science and Technology, Ethics, Artificial Intelligence, Army, Civil-Military Relations, and Data Science
Political Geography:
North America and United States of America