This quarter we'll talk about AI safety, explainable AI, human-in-the-loop AI, and ethical challenges for AI. We’ll have some guest speakers, but much of the seminar will be spent discussing some recent papers on the topic.
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| Date | Reading/Talk | Speaker | Details |
|---|---|---|---|
| 9/28 | -- | -- | Organizational meeting |
| 10/5 | Reading | Antoine Bosselut | One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel |
| 10/12 | Reading | Ariel Holtzman | Concrete Problems in AI Safety |
| 10/19 | Cancelled | because of overlap with the Affiliates Day. | |
| 10/26 | Reading | Chris & Nicholas |
Stealing Machine Learning Models
via Prediction APIs |
| 11/02 | Reading | Gagan | “Why Should I Trust You?” Explaining the Predictions of Any Classifier |
| 11/09 | Talk | Oren Etzioni (AI2) |
Designing AI systems that obey our laws and values Relevant reading on Semantic Scholar |
| 11/16 | Reading | Colin Lockard | The forces that drove this election’s media failure are likely to get worse |
| 11/23 | Cancelled | ||
| 11/30 | Talk | Ryan Calo (UW School of Law) |
There is a blind spot in AI research Relevant Nature article |