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DTSTART;TZID=Europe/London:20250228T110000
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SUMMARY:Responsible Generative AI: What to Generate and What Not
DESCRIPTION:Slides and Video Recording\n\nSlides: https://cyber.kent.ac.uk/seminars/20250228_Jindong_Gu.pdf\nVideo recording:\n\nhttps://cyber.kent.ac.uk/seminars/20250228_Jindong_Gu.mp4\nIntroduction\nThis hybrid webinar is jointly organised by the Institute of Cyber Security for Society (iCSS) at the University of Kent\, Specialty Committee on AI and Cyber Security of ABCP (Association of British Chinese Professors)\, and CBAIA (China-Britain Artificial Intelligence Association). The in-person part of the event will take place at JLT\, Jennison Building\, University of Kent\, Canterbury\, Kent\, CT2 7NZ\, UK. \nIt will lay the foundation of a follow-up joint ABCP-CBAIA whole-day Workshop on AI Safety at UCL in London on Saturday 3 May 2025. More details about the workshop will be released after the talk. \nSpeaker\nDr Jindong Gu\, Senior Research Scientist\, Google & Senior Research Fellow\, University of Oxford\, UK \nAbstract\nIn recent years\, generative AI (GenAI)\, like large language models and text-to-image models\, has received significant attention across various domains. Ensuring responsible generation is critical for real-world deployment. In this talk\, I will present five key and practical considerations for responsible GenAI: generating truthful content\, avoiding toxicity\, refusing harmful instructions\, preventing training data leakage\, and ensuring content identifiability. By providing a unified perspective on textual and visual generative models\, this talk offers insights into best practices\, emerging research directions\, and challenges in building safe and ethical GenAI systems. \nThis talk is based on the following preprint authored by the speaker: \nJindong Gu (2024) A Survey on Responsible Generative AI: What to Generate and What Not. arXiv:2404.05783v2 [cs.CY]\, 77 pages. https://doi.org/10.48550/arXiv.2404.05783 \nBio\nDr Jindong Gu is a Senior Research Scientist at Google\, specialising in advancing the reliability and safety of AI technologies. He is also affiliated with the University of Oxford as a Senior Research Fellow in Torr Vision Group. Prior to that\, He received his PhD degree from University of Munich in Tresp Lab. His research goal is to build responsible AI. Specifically\, he is interested in the interpretability\, robustness\, privacy\, and safety of AI models. In this area\, He has regularly published papers\, served as Reviewer and Area Chair\, and organised workshops at leading conferences\, including NeurIPS\, ICLR\, and CVPR. More information about him can be found at https://jindonggu.github.io/. \nHow to join remotely (MS Teams)\nJoin the meeting now \nMeeting ID: 397 111 226 771 \nPasscode: vk93e5Ni
URL:https://abcp.org.uk/event/20250228-responsible-generative-ai-what-to-generate-and-what-not/
LOCATION:virtual
CATEGORIES:SC on AI and Cyber Security
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