ML and the Law NIPS Symposium 2016
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My research interests are machine learning and data mining, in particular fairness-aware data mining. AIST Tsukuba Central 2, Umezono 1-1-1, Tsukuba, Ibaraki, 305-8568 Japan.
Got a job at DeepMind as a research scientist in AI safety. And presented at ICML and NIPS workshops. Attended the Deep Learning Summer School. Finished and defended PhD thesis. Moved to London and started working at DeepMind. And panel at the Governance of Emerging Technologies conference at ASU.
Technical and Social Perspectives on Machine Learning Contact. Conversations about the social impact of AI often are very abstract, focusing on broad generalizations about technology rather than talking about the specific state of the research field. That makes it challenging to have a full conversation about what good public policy regarding AI would be like. In the interest of helping to bridge that gap, Jack Clark. Among other things, .
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Best html site generator software download. 8 December, 2016. 111 112, First floor. Advances in machine learning and artificial intelligence mean that predictions and decisions of algorithms are already in use in many important situations under legal or regulatory control, and this is likely to increase dramatically in the near future. Examples include de ciding whether to approve a bank loan, driving an autonomous car, or even predicting whether a prison inmate is likely to offend again if released.CONTENT
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