New OREL Team - Ethics & Society, focusing on AI Ethics, society-tech issues, law, programming ethics, and dovetails into fairness & interpretability / explainability
This has been a really interesting question / difference to focus on, and depends quite a bit of the commenter's viewpoint. I've reached out to some experts within the field that I've previously known. For the presentation itself, it will be an interesting to choose "how" technical" to be, or how much to focus on policy. Ideally I'd like to have some space for both, but the overall percentage will depend on things.
See this tweet as one particularly useful example of Fairness in ML which covers many issues in our lab: complex systems, uncertainty, and a "developmental" approach / system-scale analysis: https://twitter.com/JesParent/status/1362627333438504960
This has been a really interesting question / difference to focus on, and depends quite a bit of the commenter's viewpoint. I've reached out to some experts within the field that I've previously known. For the presentation itself, it will be an interesting to choose "how" technical" to be, or how much to focus on policy. Ideally I'd like to have some space for both, but the overall percentage will depend on things.
See this tweet as one particularly useful example of Fairness in ML which covers many issues in our lab: complex systems, uncertainty, and a "developmental" approach / system-scale analysis: https://twitter.com/JesParent/status/1362627333438504960