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UID:115-1165@www.awhamburg.de
CLASS: PUBLIC
SUMMARY:Democracy and AI
DESCRIPTION:This YAF lecture explores how the use of Generative Artificial 
 Intelligence tools influences society at large, public discourse, and what 
 regulatory measures or other societal adaptations are necessary to sustain 
 a democratic society. After two keynote talks by the distinguished speakers
 , a moderated discussion will follow.\n\nGreetings: Prof. Dr. Stefan Oeter 
  Professor for Public Law, International Law, and Foreign Public Law, Unive
 rsität Hamburg and Vice-President of the Akademie der Wissenschaften in Ham
 burg\n\n 	Talk: Prof. Dr. Judith Simon 	Professor for Ethics in Information
  Technology, Universität Hamburg 	Dis/Trusting Generative AI? Assessing fou
 r types of deception through Generative AI – Large Language Models and othe
 r types of Generative AI has taken the world by storm, intensifying debates
  on the ethics of AI in general and notions of trustworthy Generative AI in
  particular. In my talk, I propose the notion of quadruple deception to cap
 ture a distinctive feature of Generative AI with significant epistemologica
 l, ethical and political implications: 1) deception regarding the ontologic
 al status of one’s interactional counterpart, 2) deception regarding the ca
 pacities of AI, 3) deception through content created with Generative AI as 
 well as 4) deception resulting from the embedding of Generative AI into all
  sorts of software systems. Arguing that deception poses a threat to placin
 g trust wisely, I assess the epistemic, ethical and political implications 
 of these four different types of deception. I will end with some conclusion
 s on how to increase the trustworthiness of Generative AI to enable more ju
 stified trust in such technologies. 	  	Talk: Prof. Dr. Sandra Wachter 	Pro
 fessor of Technology and Regulation, University of Oxford & Hasso Plattner 
 Institute 	Do large language models have a legal duty to tell the truth? – 
 Large language models (LLMs) do not distinguish between fact and fiction. T
 hey will return an answer to almost any prompt, yet factually incorrect res
 ponses are commonplace.  Our tendency to anthropomorphise machines and trus
 t models as human-like truth tellers — consuming and spreading the bad info
 rmation that they produce in the process — is uniquely worrying. They are n
 ot, strictly speaking, designed to tell the truth.  Yet they are implemente
 d in many sectors where truth and detail matter such as education, science,
  health, the media, law, and finance. I coin the idea of “careless speech” 
 as a new type of harm created by large language models (LLM) that poses cum
 ulative, long-term risks to science, education, and shared social truth in 
 democratic societies. These subtle mistruths are poised to cumulatively deg
 rade and homogenize knowledge over time.  This begs the question: Do large 
 language models have a legal duty to tell the truth? I will show the preval
 ence of hallucinations, and I will assess the existence of truth-related ob
 ligations in EU human rights law and the Artificial Intelligence Act, Digit
 al Services Act, Product Liability Directive and Artificial Intelligence Li
 ability Directive. I will close by proposing ideas of how to reduce halluci
 nations in LLMs. 	Moderation of a short panel with Prof. Simon and Prof. Wa
 chter: Prof. Dr. Christian Herzog  	Professor for the Ethical, Legal and So
 cial Aspects of AI, Universität zu Lübeck and YAF of the Akademie der Wisse
 nschaften in Hamburg. \n\n\n\nParticipation is free but registration is req
 uired. You can register here: https://cloud.adwhh.de/index.php/apps/forms/s
 /XAzYtEA3y5s6Pc6t38ot9tqf\n\nYou will receive a confirmation within 24 hour
 s. Note that space is limited and spots are given on a first come-first-ser
 ved basis. For questions or an alternative way of registration, please send
  an email to d.sarikaya@uni-luebeck.de Changes will also be communicated vi
 a www.awhamburg.de\n\nWest Wing of the Main building (ESA West) of the Univ
 ersität Hamburg, Room 221 Edmund-Siemers-Allee 1 20146 Hamburg
DTSTAMP:20250611T095757Z
DTSTART:20250717T161500Z
DTEND:20250717T180000Z
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