Join us for this free webinar with Lee Tiedrich, a widely recognized leader in artificial intelligence, data, and emerging technologies, in conversation with the ODI’s Director of Research Professor Elena Simperl.

Society faces an urgent and complex artificial intelligence (AI) data scraping challenge. Left unsolved, it could threaten responsible AI innovation. Data scraping refers to using web crawlers or other means to obtain data from third-party websites or social media properties. Today’s large language models (LLMs) depend on vast amounts of scraped data for training and potentially other purposes. Scraped data can include facts, creative content, computer code, personal information, brands, and just about anything else. This talk will discuss the current data scraping legal and policy landscape, including the mounting disputes. It will also discuss potential approaches for encouraging responsible and legally compliant behaviours, including codes of conduct, technical tools, model contract terms, and education.

This session is second first in our Data-Centric AI webinar series.

Who is this webinar for?

Anyone who is interested in data, AI, and how their data is obtained and used from third-party websites and social media.

Level of difficulty

For everyone, it's an opportunity to hear from a renowned expert about the issues around data collection and AI.

Can't come to the event, but would like to see the recording? Then join our research email list and we'll email you as soon as it is released, along with updates of all our latest research.

Please note:

The Zoom link for the event will be emailed to all bookers.

This event will be filmed, if you do not wish to be filmed please keep your camera turned off.


Lee Tiedrich

Lee Tiedrich is a widely recognized leader in artificial intelligence, data, and emerging technologies. She is a member of both the OECD and Global Partnership on AI (GPAI) AI expert groups and co-chairs both the GPAI Responsible AI Strategy for the Environment (RAISE) committee and the GPAI Intellectual Property Advisory Committee. She’s also a member of the OECD Expert Group on AI, Data, and Privacy, and a Senior Adviser for the International Scientific Report on Advanced AI Safety, funded by the UK government following the Bletchley Park Summit and led by Yoshua Bengio. With a degree in electrical engineering and over 30 years of legal experience, Lee has a long career helping organizations navigate uncertainty to achieve their objectives. She was a partner at the global law firm Covington & Burling LLP, where she led the firm’s global and multi-disciplinary AI Initiative and counselled organizations on a broad range of data and technology matters, including digital transformation, AI and data governance, policy, intellectual property, regulatory, transactions, and other corporate matters. Lee holds three appointments at Duke University, including Distinguished Faculty Fellow in Law and Responsible Technology, Executive in Residence, and Responsible Technology Scholar in AI Health.

Lee speaks frequently to government leaders and at leading institutions, such as the Council on Foreign Relations, the Federal Judicial Center, the National Judicial College, the OECD, COP-27, GPAI, WIPO, the UN AI High Level Advisory Board, and at leading universities. She has held leadership positions with the American Bar Association and has served as a peer reviewer for Oxford University Press. She has been selected for Marquis’ Who’s Who, CIOLook’s 10 Best Leaders of the AI Age – Shaping a New Technological Era – 2024, and CIO Business World’s 10 Most Visionary Women Leaders in AI Creating Global Impact, 2024. She received a Duke Women Innovators Award in 2023.

Lee is a member of the CEIMIA Board of Directors and the Editorial Board of the Journal for AI Law and Regulation and has several publications. Lee served on the Biden Campaign Policy Committee and is registered to practice before the US Patent and Trademark Office. She graduated from the University of Pennsylvania Law School and earned a B.S.E. in electrical engineering from Duke University, with both Phi Beta Kappa and Tau Beta Pi honors. Prior to joining the Duke faculty, she chaired the Strategy Committee of the Duke Engineering School Board of Visitors and was an adjunct faculty member at the University of Pennsylvania Law School.

Elena Simperl, Director of Research, ODI

Elena Simperl is the ODI’s Director of Research and a Professor of Computer Science at King’s College London. She is also a Fellow of the British Computer Society, a Fellow of the Royal Society of Arts, a senior member of the Society for the Study of AI and Simulation of Behaviour, and a Hans Fischer Senior Fellow.

Elena’s research is in human-centric AI, exploring socio-technical questions around the management, use, and governance of data in AI applications. According to AMiner, she is in the top 100 most influential scholars in knowledge engineering of the last decade. She also features in the Women in AI 2000 ranking.

In her 15-year career, she has led 14 national and international research projects, contributing to another 26. She leads the ODI’s programme of research on data-centric AI, which studies and designs the socio-technical data infrastructure of AI models and applications. Elena chaired several conferences in artificial intelligence, social computing, and data innovation. She is the president of the Semantic Web Science Association.

Elena is passionate about ensuring that AI technologies and applications allow everyone to take advantage of their opportunities, whether that is by making AI more participatory by design, investing in novel AI literacy interventions, or paying more attention to the stewardship and governance of data in AI.