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This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.
This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
An autonomous system is a software agent capable of performing what appear to be actions, with what appears to be a significant degree of independence and autonomy. Autonomous systems, at least at present, are not genuine moral agents: they do not themselves have moral obligations or permissions. But the programming of an autonomous system is uncontroversially subject to moral evaluation. This talk will consider the general question whether the morality of programming an autonomous system to behave in a certain way in a certain situation is reducible to the morality of a human actor, in its place, behaving in that same way in that same situation. It will consider three ways in which this reduction might fail, based on programmers’ ignorance of who their act affects, on the difference between performing one and multiple instances of the same act, and on the extrinsic effects that can arise from the visibility of programs to others.
