If an AI aims to maximise risk-adjusted return, then under mild conditions it is disproportionately likely to pick an unethical strategy unless the Objective Function allows for this risk. A paper, to be submitted to PNAS, quantifies this problem and discusses these applications. This seminar will be led by Nicholas Beale, Heather Battey, and Robert S. MacKay.
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