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Engineering Safe AI seminar group
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How can we design AI systems that reliably act according to the true intent of their users, even as the capability of the systems increases? This seminar group will hold weekly discussions that explore the question of AI safety from a technical angle, discussing papers from OpenAI, DeepMind, and academia. The format will be a short presentation of a paper followed by questions and discussion. We’re hoping these meetings will also lead to new research collaborations. A basic understanding of machine learning is helpful, but detailed knowledge of the latest techniques is definitely not required! Some suggestions of papers to cover are here: https://docs.google.com/document/d/1gdJdgIG-qXPLrD9ZjHZB8LsJNpQX4MtQHQPnb07jbq8/edit?usp=sharing Put yourself down here https://docs.google.com/spreadsheets/d/17JxduAhr1BaAG5W5ZbQEfJVizuADhC7U25QYx7uIdHw/edit#gid=0 or get in touch with Beth (eb642) if you’re interested in presenting a paper. There will be free pizza!! If you have a question about this list, please contact: Miss Eve McCormick; Beth Barnes. If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 0 talks in the archive. Please see above for contact details for this list. |
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