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<\/figure>\n<\/div>\n\n\nAbstract:<\/strong> It is impossible to open a newspaper and not see yet another story about AI and its promise to enable economic growth. Nowadays it would almost border on heresy to stand in the way of AI development. This can clearly be seen in the current political climate which makes one thing very clear: we have entered a new age of deregulation.<\/p>\n\n\n\n In recent months, Big Tech successfully lobbied for stopping and revising the EU AI Act, changing the EUs General Data Protection Regulation (GDPR), and shelving the promised AI Liability Directive. \u201cCutting the red tape\u201d is the declared goal in order to unleash the full potential of AI and enable competitiveness.<\/p>\n\n\n\n Interestingly enough, the counterfactual is never assessed. In other words, what are the costs of deregulation? How many people will now see no legal recourse if AI harms them? How many people\u2019s health will be compromised by weakened environmental laws? How many people\u2019s lives are now in danger due to the lower non-discrimination standards?<\/p>\n\n\n\n This begs the question: who actually benefits from deregulation?<\/p>\n\n\n\n This talk will discuss who really benefits from lowering legal frameworks. We will discuss Big Tech\u2019s AI promises, explore their current lobbying efforts and the costs society has to bare because of it.<\/p>\n\n\n\n However, I will show that profitability and protecting human rights do not have to be in conflict and will propose my new idea for tech governance. I will argue that the public is in all but name a shareholder of AI companies and thus is entitled to receive socially beneficial technology in return for its investment.<\/p>\n\n\n\n Bio: <\/strong>Prof. Dr. Sandra Wachter is Professor of Technology and Regulation at the University of Oxford at the Oxford Internet Institute and is Humboldt Professor of Technology and Regulation at the Hasso Plattner Institute. At the Oxford Internet Institute, Professor Sandra Wachter leads and coordinates the Governance of Emerging Technologies (GET) Research Programme that investigates the legal and ethical implications of AI, Big Data, and robotics as well as Internet and platform regulation. Professor Wachter also serves as a policy advisor for governments, companies, and NGOs around the world on regulatory and ethical questions concerning emerging technologies.<\/p>\n\n\n\n Professor Wachter publishes widely in top journals, including Science and Nature and focuses on legal, ethical, and technical aspects of AI and inferential analytics, explainable AI, algorithmic bias, platform regulation, profiling, as well as emotion- and facial-recognition software. The societal impact of generative AI and hallucinations in areas such as the future of work, misinformation, free press, and human rights is also at the heart of her research agenda.<\/p>\n\n\n\n Professor Wachter is an affiliate and member at numerous institutions, such as the Berkman Klein Center for Internet & Society at Harvard University, World Economic Forum\u2019s Global Futures Council on Values, Ethics and Innovation, UNESCO, European Parliament Working Group on AI Liability, Law Committee of the IEEE, World Bank\u2019s Task Force on Access to Justice and Technology, United Kingdom Police Ethics Guidance Group, British Standards Institution, Law Faculty at Oxford, Bonavero Institute of Human Rights, Oxford Martin School and the Oxford University Press.<\/p>\n\n\n\n Previously, Professor Wachter was a visiting Professor at Harvard Law School. Prior to joining the OII she studied at the University of Oxford and the Law Faculty at the University of Vienna. She has also worked at the Alan Turing Institute, Royal Academy of Engineering and the Austrian Ministry of Health.<\/p>\n\n\n\n Professor Wachter has been the subject of numerous media profiles, including by the Financial Times, Wired, Nature, TechCrunch, der Spiegel, and Business Insider. Her work has been prominently featured in several documentaries, including pieces by Wired , Reuters, and the BBC, and has been extensively covered by The New York Times, Time Magazine, Reuters, Forbes, Fortune, CNN, Harvard Business Review, Guardian, BBC, Telegraph, CNBC, CBC, Huffington Post, Washington Post, Science, Nature, MIT Tech Review, New Scientist, HBO, The Sunday Times, and Vice Magazine.<\/p>\n\n\n\n Professor Wachter has received numerous awards, including the Alexander von Humboldt Foundation Research Award (2025) which grants EUR \u20ac3,5 Mio in funding, the O2RB Excellence in Impact Award (2018 and 2021), the Computer Weekly Women in UK Tech award (2021), the Privacy Law Scholar (PLSC) Award (2019) for her paper A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI, and the CognitionX Outstanding Achievements & Research Contributions \u2013 AI Ethics Award X (2017 and 2023) for her contributions in AI governance.<\/p>\n\n\n\n Title of talk: <\/em>Forthcoming<\/p>\n\n\n Abstract<\/strong>: Forthcoming<\/p>\n\n\n\n Bio<\/strong>: <\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n Title of talk: <\/em>Why can\u2019t we get it right? The challenges and limits of Responsible AI<\/em><\/p>\n\n\n Abstract<\/strong>: Title of talk: <\/em><\/em>Forthcoming<\/p>\n\n\n Abstract<\/strong>: Keynote #1 Monday, October 12, 2026 1:30-2:00 PMProf. Dr. Sandra Wachter Title of talk: How geopolitics, deregulation, and the AI hype cycle threaten human rights protection Abstract: It is impossible to open a newspaper and not see yet another story about AI and its promise to enable economic growth. Nowadays it would almost border on […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-2628","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/pages\/2628","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/comments?post=2628"}],"version-history":[{"count":12,"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/pages\/2628\/revisions"}],"predecessor-version":[{"id":2935,"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/pages\/2628\/revisions\/2935"}],"wp:attachment":[{"href":"https:\/\/www.aies-conference.com\/2026\/wp-json\/wp\/v2\/media?parent=2628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Keynote #2
Tuesday, October 13, 2026 8:30-9:00AM:
Stefan Larsson<\/h3>\n\n\n\n![\"\"](\"https:\/\/www.aies-conference.com\/2026\/wp-content\/uploads\/2026\/09\/slarsson.jpg\")
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Stefan Larsson is an Associate Professor in Technology and Social Change at Lund University (LU), Sweden. As a lawyer and socio-legal researcher with PhDs in both social (Sociology of Law) and technical (Spatial Planning) sciences he leads an interdisciplinary research group on AI and Society at the faculty of engineering at LU. The group focuses on social and normative implications of AI and adaptive technologies in both private and public domains, ranging from how AI and automation affects or impacts the public sector and its governance to AI and prediction in health care, and social robotics.<\/p>\n\n\n\nKeynote #3
Wednesday, October 14, 2026 8:30-9:00AM:
Irina Shklovski<\/h3>\n\n\n\n![\"\"](\"https:\/\/www.aies-conference.com\/2026\/wp-content\/uploads\/2026\/09\/ishklovski.jpg\")
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In 1987 Robert Kraut, then a computer scientist at Bell Labs, asked how can technology be designed \u201cto exploit its usefulness without exploiting its users.\u201d Nearly four decades later, we still don’t have an answer. Over the years arguments about technology have moved from concerns about data and privacy, to bias and discrimination in algorithmic systems, to ethical concerns about data driven AI systems. This culminated in a focus on “Responsible AI” – comprising of tools, methods, checklists, standards, compliance evaluations, and ways of thinking. Yet AI systems continue to fail us, plagued by the same problems of bias, privacy concerns, and overhyped promises that consistently fall short. Why do problematic AI systems seem unavoidable and what does it take to create AI “responsibly”? I will discuss the complex misalignment between conceptions of ethics and harm and the logics of modularity and scope that underpin technology development, the seemingly insurmountable yet persistently overlooked problems of data quality and the increasing challenge of moral stress in technical practice.
Bio:<\/strong> Irina Shklovski is a Professor of Communication and Computing in the Department of Computer Science at the University of Copenhagen. She also holds a WASP-HS visiting professorship in the Department of Thematic Studies, Gender Studies at Link\u00f6ping University. Her research examines the relationship between technological infrastructures, institutional practices, and everyday human experience, focusing on responsible and ethical technology design, information privacy, creepy technologies and the sense of powerlessness people experience in the face of massive personal data collection. Current projects explore topics such as data quality, explainable AI, and moral stress in responsible AI development.<\/p>\n\n\n\nKeynote #4
Wednesday, October 14, 2026 1:30-2:00PM
Tadayoshi Kohno<\/h3>\n\n\n\n![\"\"](\"https:\/\/www.aies-conference.com\/2026\/wp-content\/uploads\/2026\/09\/Portrait_Placeholder.png\")
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Forthcoming
Bio:<\/strong>
Forthcoming<\/p>\n","protected":false},"excerpt":{"rendered":"