While the European Union is developing the Data Act, the Data Governance Act and the Artificial Intelligence (AI) Act, the issue of the data governance remains at the fore. In today’s podcast, we will try to answer some of these questions: What are the policy options for Europe’s data governance framework, especially with regard to AI, that align with a data justice perspective? How to foster a positive vision of AI as contributing to public goods and creating public value? How to recognise the rights and interests of different communities in data? To what extend is it possible to foresee risks and vulnerabilities when legislating on digital?
We will address these questions with the help of Pernille Weiss, Member of the European Parliament’s Committees on Industry, Research and Energy and on the Environment, Public Health and Food Safety, and Linnet Taylor, Associate Professor of Data Ethics, Law and Policy at the Tilburg Institute for Law, Technology, and Society (TILT), where she leads the Global Data Justice project.
This podcast is third in the 2022 podcast series on Artificial intelligence brought to you by the OECD’s Global Parliamentary Network and the European Parliament’s Panel for the Future of Science and Technology, also known as STOA.
Guests: Linnet Taylor, Pernille Weiss
Host: Christopher Mooney
Producer: Samia Basille
To learn more about the European Parliament’s Panel for the Future of Science and Technology’s work on AI, go to: [ Ссылка ]
To learn more about the OECD Global Parliamentary Network, go to: [ Ссылка ]
To learn more about the OECD’s work on AI, go to: oecd.ai
