Artificial intelligence (AI) is undeniably transforming various aspects of our lives, from how we work to how we play. It has the potential to tackle global challenges such as climate change and access to quality healthcare. However, with the integration of AI into economies and societies, there are also challenges that governments and citizens need to navigate. The Organisation for Economic Co-operation and Development (OECD) recognizes the importance of developing policy and institutional frameworks to guide the design and use of AI, ensuring that it benefits society as a whole. The OECD supports governments by analyzing the economic and social impacts of AI and engaging with stakeholders to identify best practices for public policy. Through their AI Policy Observatory, the OECD provides real-time information, analysis, and dialogue to shape and share AI policies worldwide. Additionally, the OECD has developed principles and frameworks to promote AI that is innovative, trustworthy, and respects human rights and democratic values. With their comprehensive approach, the OECD aims to foster a human-centric approach to AI, ensuring that it serves the greater good.
AI Policy Observatory
Welcome to the AI Policy Observatory, your comprehensive resource for all things related to artificial intelligence (AI) policy. We understand that AI is transforming every aspect of our lives and presents both opportunities and challenges for governments and citizens. With that in mind, we aim to provide you with the information and analysis you need to navigate this rapidly evolving landscape.
Introduction to AI Policy Observatory
The AI Policy Observatory is a platform that combines resources from across the Organisation for Economic Co-operation and Development (OECD) and its partners. Our goal is to facilitate dialogue, provide multidisciplinary analysis, and offer real-time information on the impact of AI. We strive to shape and share AI policies globally and promote the responsible development and use of AI technologies.
Combining Resources from Across the OECD
At the AI Policy Observatory, we bring together the expertise and resources from various OECD departments and stakeholder groups. Our collaborative approach ensures that we offer a comprehensive and well-rounded perspective on AI policy. By combining the knowledge and insights of experts from different fields, we can provide you with a holistic understanding of the challenges and opportunities associated with AI.
Dialogue Facilitation and Multidisciplinary Analysis
We believe that meaningful dialogue is essential for developing effective AI policies. That’s why we facilitate discussions and collaborations among policymakers, industry stakeholders, researchers, and civil society. By fostering a multidisciplinary approach, we ensure that diverse perspectives are considered in the development and implementation of AI policies. Our goal is to create a space where different voices can come together to shape the future of AI.
Real-Time Information, Analysis, and Dialogue
In a rapidly evolving field like AI, up-to-date information is crucial. That’s why the AI Policy Observatory provides real-time analysis and insights on emerging trends and developments in the AI landscape. Through our website, you can access the latest research, policy papers, and reports on various AI-related topics. We also offer a platform for dialogue and discussion, enabling stakeholders to share their experiences and contribute to the conversation.
Country Dashboards and AI Policy Initiatives
With AI policies being developed and implemented by governments around the world, it can be challenging to keep track of the latest initiatives. That’s why we have created country dashboards that allow you to browse and compare AI policy initiatives in over 60 countries and territories. These dashboards provide valuable insights into the approaches different countries are taking in regulating and promoting AI. Whether you’re a policymaker, researcher, or industry professional, these dashboards can help you stay informed and identify best practices.
AI Wonk Blog for Experiences and Research Sharing
The AI Wonk blog is an essential part of the AI Policy Observatory. It serves as a platform for experts on AI, including the OECD Network of Experts on AI and guest contributors, to share their experiences and research. The blog covers a wide range of AI-related topics, including ethics, governance, and the social impact of AI. By sharing their insights and perspectives, the AI Wonk blog contributes to a deeper understanding of AI and its implications for society.
OECD Principles on Artificial Intelligence
Introduction to OECD AI Principles
The OECD Principles on Artificial Intelligence are a set of guidelines that promote innovative and trustworthy AI. These principles were adopted in May 2019 by OECD member countries, making them the first such principles signed up to by governments. The principles provide a framework for the responsible development and use of AI technologies, ensuring that they respect human rights and democratic values.
Promoting Innovative and Trustworthy AI
The OECD AI Principles aim to promote AI that is not only innovative but also trustworthy. This means that AI systems should be reliable, transparent, and accountable. By fostering trust in AI technologies, we can encourage their widespread adoption and ensure that they benefit society as a whole. The principles emphasize the importance of human-centric AI and the need to prioritize human well-being in the design and use of AI.
Respecting Human Rights and Democratic Values
AI has the potential to profoundly impact human rights and democratic values. The OECD AI Principles recognize this and emphasize the need to respect and protect human rights in the development and deployment of AI systems. They call for AI technologies to be used in a manner that upholds privacy, freedom of expression, and non-discrimination. By adhering to these principles, we can ensure that AI is used to enhance human rights and democratic values rather than undermine them.
Adoption by OECD Member Countries
The adoption of the OECD AI Principles by member countries demonstrates their commitment to responsible AI development. By signing up to these principles, governments acknowledge the need for a shared framework that guides the ethical and responsible use of AI technologies. This collective approach enables countries to work together in addressing the challenges and opportunities presented by AI.
Concrete Recommendations for Public Policy
The OECD AI Principles go beyond broad ethical principles and provide concrete recommendations for public policy. They outline specific actions that governments can take to promote the responsible development and deployment of AI technologies. These recommendations cover areas such as transparency, accountability, and human capacity building. By implementing these recommendations, governments can create an enabling environment for AI innovation while ensuring that the potential risks are effectively managed.
Global Scope and Applicability
The OECD AI Principles have a global scope and applicability. They are not limited to OECD member countries but provide a framework that can be applied to AI developments worldwide. This global dimension is crucial, given the cross-border nature of AI technologies and the need for international cooperation in addressing the challenges they present. The principles foster collaboration and dialogue among countries, enabling them to share best practices and work together towards a common vision for trustworthy AI.
OECD Framework for Classification of AI Systems
Introduction to OECD Framework
The OECD Framework for the Classification of AI Systems is a tool that helps policymakers, regulators, and legislators assess the opportunities and risks associated with different types of AI systems. Developed by the OECD.AI Network of Experts, the framework aims to inform AI strategies and ensure policy consistency across borders. It provides a user-friendly approach to linking the technical characteristics of AI systems with their policy implications.
A Tool for Assessing Opportunities and Risks
AI technologies present both opportunities and risks. The OECD Framework for Classification of AI Systems allows policymakers and regulators to assess these opportunities and risks based on the technical characteristics of AI systems. By understanding the capabilities and limitations of AI systems, policymakers can make informed decisions about their deployment and potential impact on society.
Informing AI Strategies and Ensuring Policy Consistency
AI strategies should be informed by a deep understanding of the technology and its implications. The OECD Framework for Classification of AI Systems provides policymakers with a systematic approach to considering the various dimensions of AI, such as its level of autonomy, data requirements, and training methods. By using this framework, policymakers can ensure that their AI strategies are comprehensive and well-aligned with the principles and values they seek to promote.
User-Friendly Tool Linking Technical Characteristics and Policy Implications
One of the strengths of the OECD Framework for Classification of AI Systems is its user-friendly nature. It provides policymakers with a clear and accessible way to understand the technical characteristics of AI systems and the corresponding policy implications. This allows policymakers to engage in meaningful discussions and make informed decisions about the regulation and use of AI technologies. The framework bridges the gap between technical expertise and policy considerations, ensuring that decisions are based on a solid understanding of the technology.
Based on OECD AI Principles
The OECD Framework for Classification of AI Systems is based on the OECD AI Principles. By aligning the framework with these principles, policymakers can ensure that their AI strategies and policies promote values such as fairness, transparency, and accountability. This alignment also ensures that the framework is consistent with the broader ethical framework promoted by the OECD in relation to AI technologies.
Promoting Values and Policies for AI
Ultimately, the OECD Framework for Classification of AI Systems promotes values and policies that are essential for the responsible and ethical development and use of AI technologies. By providing policymakers with a clear framework for assessing the opportunities and risks associated with AI systems, the framework enables them to make informed decisions and develop policies that promote human-centric AI. This promotes trust, innovation, and the positive impact of AI on society.
Recent Publications
Introduction to Recent Publications
At the AI Policy Observatory, we strive to provide you with the most up-to-date information and analysis on AI-related topics. In our recent publications, we cover a wide range of issues, from the policy considerations for generative AI to the effects of AI on employment. These publications reflect our commitment to offering evidence-based insights that can inform the development of AI policies.
Policy Considerations for Generative Artificial Intelligence
Generative AI has the potential to revolutionize various industries, but it also raises important policy considerations. In this publication, we explore the challenges and opportunities associated with generative AI and provide recommendations for policymakers. By understanding the unique characteristics of generative AI, policymakers can develop strategies that harness its potential while addressing potential risks.
G7 Hiroshima Process on Generative AI
As part of our efforts to facilitate international cooperation on AI policy, we contributed to the G7 Hiroshima Process on Generative AI. This publication highlights the progress made by the G7 countries in developing a common understanding of generative AI and its implications. By sharing best practices and coordinating their approaches, G7 countries can shape the global governance of generative AI technologies.
OECD Employment Outlook 2023: AI and Jobs
The impact of AI on employment is a topic of great interest and concern. In this publication, we analyze the relationship between AI and jobs and provide insights into the potential effects on the labor market. By understanding the dynamics of AI and employment, policymakers can develop strategies to mitigate potential negative impacts and maximize the benefits of AI technologies.
Regulatory Sandboxes in Artificial Intelligence
Regulatory sandboxes are a valuable tool for testing and evaluating AI technologies in a controlled environment. In this publication, we explore the concept of regulatory sandboxes and their role in fostering innovation while ensuring accountability. By providing a safe space for experimentation, regulatory sandboxes can help regulators strike the right balance between innovation and regulation in the AI sector.
AI in Science: Challenges, Opportunities, and Future of Research
AI has the potential to revolutionize the field of science, but it also presents unique challenges. In this publication, we examine the impact of AI on scientific research, highlighting both the opportunities and the potential pitfalls. By understanding the implications of AI for scientific research, policymakers and researchers can work together to leverage AI’s potential while safeguarding the integrity and reliability of scientific knowledge.
Technological, Socio-economic, and Policy Considerations for AI Language Models
AI language models, such as GPT-3, have gained significant attention in recent years. In this publication, we explore the technological, socio-economic, and policy considerations associated with AI language models. By examining the benefits and risks of these models, policymakers can develop guidelines and regulations that promote responsible and ethical use.
Building National Compute Capacity for AI
AI technologies require significant computational power. In this publication, we explore the challenges and opportunities associated with building national compute capacity for AI. By developing national infrastructure and capabilities, countries can enhance their AI competitiveness and foster innovation. This publication provides insights into the strategies and policies that can enable countries to build and maintain their compute capacity.
AI Workforce across OECD Countries: Supply, Demand, and Characteristics
Understanding the AI workforce is essential for developing effective policies and strategies. In this publication, we analyze the supply, demand, and characteristics of the AI workforce across OECD countries. By understanding the skill sets and dynamics of the AI workforce, policymakers can ensure that their policies align with the needs of the labor market and promote the development of a diverse and skilled AI workforce.
Advancing Accountability in AI
Accountability is a critical aspect of AI governance. In this publication, we explore the challenges and opportunities associated with advancing accountability in AI. By developing mechanisms and frameworks for accountability, policymakers can ensure that AI technologies are used in a responsible and transparent manner. This publication offers insights and recommendations for policymakers seeking to promote accountability in AI.
Identifying and Characterizing AI Actors Using Online Data
Understanding the actors involved in AI development and deployment is crucial for effective policy formulation. In this publication, we present a novel approach for identifying and characterizing AI actors using online data. By leveraging big data and online information, policymakers can gain insights into the AI landscape and develop targeted policies that address the unique characteristics and challenges associated with different AI actors.
A Novel Approach for Identifying and Characterizing AI Adopters
Identifying and characterizing AI adopters is essential for understanding the adoption patterns and dynamics of AI technologies. In this publication, we propose a novel approach based on big data for identifying and characterizing AI adopters. By mapping adoption patterns and analyzing the characteristics of adopters, policymakers can develop targeted strategies to promote AI adoption and diffusion.
Measuring Environmental Impacts of AI Compute and Applications
AI technologies have the potential to have both positive and negative environmental impacts. In this publication, we examine the environmental footprint of AI compute and applications. By understanding the environmental implications of AI technologies, policymakers can develop strategies to minimize the negative impacts and promote sustainable AI development.
Harnessing the Power of AI and Emerging Technologies
AI is just one piece of the puzzle when it comes to emerging technologies. In this publication, we explore the potential of AI in conjunction with other emerging technologies to address global challenges. By harnessing the power of AI, policymakers can unlock innovative solutions to complex problems and promote sustainable development.
Effects of AI on the Working Lives of Women
AI technologies have the potential to significantly impact the working lives of women. In this publication, we examine the effects of AI on gender equality in the workplace and provide insights into potential challenges and opportunities. By addressing these issues, policymakers can ensure that AI technologies contribute to gender equality and empower women in the labor market.
Labour-Saving Technologies and Employment Levels
The relationship between technology and employment is a topic of ongoing debate. In this publication, we explore the impact of labor-saving technologies, including AI, on employment levels. By understanding the dynamics of technological change, policymakers can develop strategies to minimize potential job losses and promote inclusive growth.
Opportunities and Drawbacks of Using AI for Training
AI technologies offer new possibilities for training and education. In this publication, we examine the opportunities and drawbacks of using AI for training purposes. By leveraging AI technology, policymakers and educators can enhance the learning experience and promote lifelong learning. However, it is essential to address potential challenges and ensure that AI is used in an ethical and responsible manner.
AI and Employment: Cross-Country Evidence
Understanding the impact of AI on employment requires cross-country evidence. In this publication, we analyze the relationship between AI and employment in different countries. By comparing experiences and outcomes, policymakers can gain insights into the potential effects of AI on the labor market and develop policies that promote employment and economic growth.
Recent and Upcoming Events
Expert Forum on AI Foresight and Generative AI
The Expert Forum on AI Foresight and Generative AI brings together experts and practitioners to discuss the future of AI and the implications of generative AI technologies. This event provides a platform for sharing insights, exchanging best practices, and exploring new ideas in the field of AI. By fostering collaboration and dialogue, we aim to shape the future of AI in a responsible and inclusive manner.
3rd International Conference on AI in Work, Innovation, Productivity, and Skills
The 3rd International Conference on AI in Work, Innovation, Productivity, and Skills offers a unique opportunity to explore the impact of AI on the workplace and the skills required in the digital age. This conference brings together researchers, policymakers, and industry professionals to exchange knowledge and insights on the transformative power of AI. By promoting collaboration and knowledge sharing, we aim to shape the future of work and enhance productivity and innovation.
Environmental Footprint of Artificial Intelligence
The environmental impact of AI technologies is a critical consideration. This session at the COP 27 virtual session focuses on the environmental footprint of artificial intelligence and explores strategies to minimize its negative effects. By raising awareness and fostering dialogue, we aim to develop policies and practices that promote sustainable AI development.
Effects of AI on the Working Lives of Women
Gender equality in the workplace is a priority for policymakers. This event examines the effects of AI on the working lives of women and explores strategies to promote gender equality in the context of AI technologies. By engaging stakeholders and sharing best practices, we aim to ensure that AI technologies contribute to inclusive and equitable workplaces.
2nd International Conference on AI in Work, Innovation, Productivity, and Skills
Following the success of the first conference, the 2nd International Conference on AI in Work, Innovation, Productivity, and Skills builds on the momentum and explores new frontiers in the field of AI. This conference offers a platform for researchers, policymakers, and industry professionals to discuss the latest trends and developments in AI and its impact on work and innovation. By fostering collaboration and knowledge exchange, we aim to shape the future of work and productivity.
Putting the OECD AI Principles into Practice
The implementation of the OECD AI Principles is a priority for governments around the world. This event focuses on sharing experiences and best practices in putting the principles into practice. By learning from each other’s successes and challenges, we can accelerate progress towards responsible and ethical AI development and use.
Related Links
AI Policy Observatory
For more information on the AI Policy Observatory and access to our resources, visit our website. Here, you can explore our country dashboards, research publications, and the AI Wonk blog. Stay informed and engaged with the latest developments in AI policy by visiting the AI Policy Observatory.
OECD Work on Digital
The OECD is actively engaged in various aspects of digital transformation. Visit this link to learn more about the OECD’s work on digital technologies and policies. From digital economy to digital governance, the OECD provides valuable insights and analysis to support evidence-based policymaking in the digital age.
OECD Work on Innovation
Innovation is a key driver of economic growth and societal progress. The OECD’s work on innovation focuses on understanding and promoting innovation policies and strategies. Visit this link to access resources and publications on innovation and stay up-to-date with the latest trends and developments in this field.
OECD.org
For more information on the Organisation for Economic Co-operation and Development (OECD) and its work, visit the OECD’s official website. Here, you can access a wide range of resources, publications, and data on various topics, including AI and digital transformation.
MyOECDSite Map
If you need assistance navigating the OECD’s website or locating specific information, the MyOECDSite map can help. This visual guide provides an overview of the OECD’s website structure and content, making it easier for you to find the information you need.
Contact Us
If you have any questions or would like to get in touch with us, please visit the Contact Us page on our website. We are here to support you and provide you with the information and resources you need to navigate the complex world of AI policy.
