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Latest news

Hildebrandt talks about the real life implications of reinforcement learning at the PERLS workshop (14 December 2021)

 13 Dec 2021

Reinforcement Learning (RL) is a rapidly growing branch of AI research, with the capacity to learn to exploit our dynamic behavior in real time. From YouTube’s recommendation algorithm to post-surgery opioid prescriptions, RL algorithms are poised to permeate our daily lives. The ability of the RL system to tease out behavioral responses, and the human experimentation inherent to its learning, motivate a range of crucial policy questions about RL’s societal implications that are distinct from those addressed in the literature on other branches of Machine Learning (ML).

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Diver delivers guest lecture: ‘From Code as “Law” to Law through Code’ (18 November 2021)

 18 Nov 2021

Laurence will discuss the illegitimate regulation of behaviour by code and AI architectures, reflecting the analysis in Digisprudence: Code as Law Rebooted. The discussion then flips the story, to consider the effects of code in law: what happens to legal normativity when its foundations start to shift from one type of technology to another, and how can we identify and anticipate the changes?

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