We seek to ground-truth the AI Blindspot discovery process through practical applications in a workshop scenario to better understand the value and gaps around each of 9 possible oversights in a team’s workflow that can generate harmful unintended consequences, including issues around purpose, representative data, abusability, privacy, discrimination by proxy, explainability, optimization criteria, generalization error, and right to contest.

We will facilitate a guided feedback session to gather and generate ideas from participants in the workshop. By assigning prompt cards...

Technology has reached a critical juncture in American society. The unfettered optimism of recent decades is now tempered by rising concerns over privacy and security, the impact of disinformation campaigns, and increasing calls for digital accountability. It is clear that the 116th Congress will face pressure to shape technological innovation through policies that protect and serve the best interests of their constituents.

In March 2019, two projects at Harvard Kennedy School—the Technology and Public Purpose (TAPP) Project at the Belfer Center for Science and International...

When a big news story breaks, Twitter goes crazy.  Keepr tries to make sense of these periodic bursts by implementing natural language processing and social network analysis algorithms to surface topics, eyewitnesses, and amplifiers. A live demo will be followed by a discussion of the capabilities and limitations of computational newsgathering, along with reports of how it is being used in newsrooms.

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