EC Library Guide on trustworthy artificial intelligence : Selected publications
Selected international publications
- Artificial Intelligence and international trade: Some preliminary implications
Janos Ferencz, Javier López González and Irene Oliván García. OECD Trade Policy Papers 260, 2022.
Artificial intelligence (AI) has strong potential to spur innovation, help firms create new value from data, and reduce trade costs. Growing interest in the economic and societal impacts of AI has also prompted interest in the trade implications of this new technology.
While AI technologies have the potential to fundamentally change trade and international business models, trade itself can also be an important mechanism through which countries and firms access the inputs needed to build AI systems, whether goods, services, people or data, and through which they can deploy AI solutions globally. This paper explores the interlinkages between AI technologies and international trade and outlines key trade policy considerations for policy makers seeking to harness the full potential of AI technologies.
- Assurer une intelligence artificielle digne de confiance en entreprise: Les mesures mises en œuvre par les pays
Salvi del Pero, A. and Verhagen, in Perspectives de l’emploi de l’OCDE 2023: Intelligence artificielle et marché du travail, OECD Publishing, 2023.
Le présent chapitre offre un tour d’horizon des mesures adoptées par les pays concernant le développement et l’utilisation d’une intelligence artificielle (IA) digne de confiance en entreprise. Il examine les politiques publiques qui visent à protéger les droits fondamentaux des travailleurs, à assurer la transparence et l’explicabilité des systèmes d’IA et à définir les responsabilités tout au long de la chaîne de valeur de l’IA. Il examine en quoi des lois ne portant pas spécifiquement sur l’IA, comme celles relatives à la lutte contre les discriminations et à la protection des données, peuvent servir de fondement à la gouvernance de l’IA dans le cadre professionnel. Si, dans certains pays, les tribunaux ont efficacement appliqué ces lois à des affaires liées à l’utilisation de l’IA en entreprise, l’adoption de mesures spécifiques à cet égard pourrait s’imposer. Aujourd’hui, la plupart des pays font appel à des instruments non contraignants pour les questions concernant l’IA, mais certains élaborent des projets de loi spécifiques applicables à son utilisation en milieu professionnel.
- Big data, data analytics, artificial intelligence and machine learning
In: The Role of Advanced Technologies in Cross-border Trade. World Trade Organization, 2022.
Around half of customs authorities use some combination of big data analytics, AI and machine learning, while the other half plans to do so in the future. The majority of respondents see clear benefits from the technology, where risk management and profiling, fraud detection, and greater compliance are the most prevalent.
- Deep reinforcement learning: Emerging trends in macroeconomics and future prospects
Tohid Atashbar and Rui Aruhan Shi. IMF Working Papers 259, 2022.
The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality.
In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.
- The effects of AI on the working lives of women
OECD, 2022.
The development and use of Artificial Intelligence (AI) continue to expand opportunities for the achievement of the 17 United Nations Sustainable Development Goals (SDGs), including gender equality.
Taking a closer look at the intersection of gender and technology, this collaboration between UNESCO, the Inter-American Development Bank (IDB) and the Organisation for Economic Co-operation and Development (OECD) examines the effects of AI on the working lives of women. This report describes the challenges and opportunities presented by the use of emerging technology such as AI from a gender perspective. The report highlights the need for more focus and research on the impacts of AI on women and the digital gender gap, in order to ensure that women are not left behind in the future of work.
- Ensuring trustworthy artificial intelligence in the workplace: Countries’ policy action
Salvi del Pero, A. and Verhagen, in OECD Employment Outlook 2023: Artificial Intelligence and the Labour Market, OECD Publishing, 2023.
This chapter provides an overview of countries’ policy action affecting the development and use of artificial intelligence (AI) in the workplace. It looks at public policies to protect workers’ fundamental rights, ensure transparency and explainability of AI systems, and clarify accountability across the AI value chain. It explores how existing non-AI-specific laws – such as those pertaining anti-discrimination and data protection – can serve as a foundation for the governance of AI used in workplace settings. While in some countries, courts have successfully applied these laws to AI-related cases in the workplace, there may be a need for AI- and workplace‑specific policies. To date, most countries primarily rely on soft law for AI-specific matters, but a number of countries are developing new AI-specific legislative proposals applicable to AI in the workplace.
- The impact of AI on the workplace: Main findings from the OECD AI surveys of employers and workers
OECD Social, Employment and Migration Working Papers 288, 2023.
New OECD surveys of employers and workers in the manufacturing and finance sectors of seven countries shed new light on the impact that Artificial Intelligence has on the workplace —an under-researched area to date due to lack of data. The findings suggest that both workers and their employers are generally very positive about the impact of AI on performance and working conditions. However, there are also concerns, including about job loss—an issue that should be closely monitored. The surveys also indicate that, while many workers trust their employers when it comes to the implementation of AI in the workplace, more can be done to improve trust. In particular, the surveys show that both training and worker consultation are associated with better outcomes for workers.
- L’intelligence artificielle dans la société
OCDE, OECD Publishing, 2020.
Le présent rapport contribue à faire émerger une compréhension commune de l’IA, sous sa forme actuelle et dans son évolution à court terme, à travers des relevés du paysage technique, économique, pratique et réglementaire de l’IA et la mise en évidence de grandes considérations de politique publique. Il contribue également à un débat coordonné et cohérent entre les diverses enceintes nationales et internationales.
Le paysage technique de l’intelligence artificielle (IA) s’est métamorphosé depuis 1950, lorsqu’Alan Turing s’interrogeait pour la première fois sur la capacité des machines à penser. Aujourd’hui, l’IA transforme les économies et les sociétés. Elle promet de générer des gains de productivité, d’améliorer le bien-être et de contribuer à apporter des solutions aux défis mondiaux que sont, par exemple, le changement climatique, l’épuisement des ressources et les crises sanitaires. Cependant, à l’heure où ces applications sont adoptées à travers le monde, leur utilisation soulève un certain nombre d’interrogations et de difficultés ayant trait, entre autres, aux valeurs humaines, à l’équité, à la détermination humaine, à la protection de la vie privée, à la sécurité et à la responsabilité.
- Measuring the environmental impacts of artificial intelligence compute and applications: The AI footprint
OECD Digital Economy Papers 341, 2022.
Artificial intelligence (AI) systems can use massive computational resources, raising sustainability concerns. This report aims to improve understanding of the environmental impacts of AI, and help measure and decrease AI’s negative effects while enabling it to accelerate action for the good of the planet.
It distinguishes between the direct environmental impacts of developing, using and disposing of AI systems and related equipment, and the indirect costs and benefits of using AI applications. It recommends the establishment of measurement standards, expanding data collection, identifying AI-specific impacts, looking beyond operational energy use and emissions, and improving transparency and equity to help policy makers make AI part of the solution to sustainability challenges.
- Media freedoms and civic space in the digital age for transparency, accountability and citizen participation
In: The Protection and Promotion of Civic Space. OECD, 2022.
This chapter provides an overview of the status of press freedom and civic space in a digitalised world, including relevant legal frameworks. It discusses harassment and attacks targeting journalists and makes suggestions on building the necessary enabling environment for reliable, fact-based journalism. It considers the protection of online civic space for citizens and related challenges such as hate speech and mis- and disinformation. It concludes with an analysis of the importance of personal data protection for civic space and safeguarding civic freedoms in the context of increased use of artificial intelligence (AI).
- OECD Digital Education Outlook 2021 Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots
OECD, 2021.
How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question
It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. The book delves into beneficial uses of smart technologies such as learning personalisation, supporting students with special learning needs, and blockchain diploma credentialing. It also considers challenges and areas for further research. The findings offer pathways for teachers, policy makers, and educational institutions to digitalise education while optimising equity and inclusivity.
- OECD framework for the classification of AI systems
OECD, 2022.
As artificial intelligence (AI) integrates all sectors at a rapid pace, different AI systems bring different benefits and risks. In comparing virtual assistants, self-driving vehicles and video recommendations for children, it is easy to see that the benefits and risks of each are very different.
Their specificities will require different approaches to policy making and governance. To help policy makers, regulators, legislators and others characterise AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective. It can be applied to the widest range of AI systems across the following dimensions: People & Planet; Economic Context; Data & Input; AI model; and Task & Output. Each of the framework's dimensions has a subset of properties and attributes to define and assess policy implications and to guide an innovative and trustworthy approach to AI as outlined in the OECD AI Principles.
- Shaping the transition: Artificial intelligence and social dialogue
Clara Krämer and Sandrine Cazes. OECD Social, Employment and Migration Working Papers 279, 2022.
Rapid advances in the development and adoption of artificial intelligence (AI) technologies provide new opportunities but also raise fears about disruptive labour market and workplace transitions. This working paper examines how social dialogue can shape the AI transition in beneficial ways for both workers and firms.
It highlights that social dialogue can generally help foster inclusive labour markets and ease technological transitions, and presents new descriptive evidence together with ongoing initiatives from social partners showing that social dialogue has an important role to play in the AI transition as well. The paper also discusses how AI adoption may affect social dialogue itself, e.g. by adding new pressures on weakening labour relations systems and posing practical challenges to social partners, such as insufficient AI-related expertise and resources to respond to the AI transition. Based on these insights, the paper suggests a few measures for policy makers who would like to support social partners’ efforts in shaping the AI transition.
- Structural reforms and economic growth: A machine learning approach
Anil Ari, Gabor Pula and Liyang Sun. IMF Working Papers 184, 2022.
The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these issues by using a machine learning approach (the partial least squares method) to combine a broad set of cross-country structural indicators into a small number of synthetic scores which correspond to key structural areas, and which are suitable for consistent quantitative comparisons across countries and time.
With this newly constructed dataset of synthetic structural scores in 126 countries between 2000-2019, we establish stylized facts about structural gaps and reforms, and analyze the impact of reforms targeting different structural areas on economic growth. Our findings suggest that structural reforms in the area of product, labor and financial markets as well as the legal system have a significant impact on economic growth in a 5-year horizon, with one standard deviation improvement in one of these reform areas raising cumulative 5-year growth by 2 to 6 percent. We also find synergies between different structural areas, in particular between product and labor market reforms.
- Using Artificial Intelligence in the workplace: What are the main ethical risks?
Angelica Salvi del Peroi, Peter Wyckoffi and Ann Vourc'h. OECD Social, Employment and Migration Working Papers 273, 2022.
Artificial Intelligence (AI) systems are changing workplaces. AI systems have the potential to improve workplaces, but ensuring trustworthy use of AI in the workplace means addressing the ethical risks it can raise.
This paper reviews possible risks in terms of human rights (privacy, fairness, agency and dignity); transparency and explainability; robustness, safety and security; and accountability. The paper also reviews ongoing policy action to promote trustworthy use of AI in the workplace. Existing legislation to ensure ethical workplaces must be enforced effectively, and serve as the foundation for new policy. Economy- and society-wide initiatives on AI, such as the EU AI Act and standard-setting, can also play a role. New workplace-specific measures and collective agreements can help fill remaining gaps.
- WTO/WCO study report on disruptive technologies
World Trade Organization, 2022.
So-called disruptive technologies, such as blockchain, the Internet of Things, artificial intelligence and machine learning, have the potential to transform border management and the conduct of international trade. This publication explores how these advanced technologies can be used to improve the efficiency of Customs processes and to ease the flow of goods across borders.
- Last Updated: Sep 5, 2024 9:39 AM
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