Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
Sign Up For Latest News
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.

The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
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.
