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Needles in Haystacks: Using Tech For Good
The growing power of artificial intelligence and machine learning provides many opportunities to augment human-centered decisions and point out discrepancies and/or patterns of discrimination that individuals cannot easily see. How can we harness AI to find the needles in the proverbial haystacks and advance causes for social good?

Join Aspen Tech Policy Hub Fellows as they showcase their projects focused on Needles in Haystacks: Using Tech for Good. Following the presentations of the projects, Rediet Abebe, PhD, will give further remarks. The projects to be presented are:

1) Combating Domestic Terrorism. An FBI study on active shooters shows that there were on average three distinct bystanders who observed concerning behaviors about the suspect prior to their attack. Unfortunately, nearly 60 percent of bystanders did not report what they knew, resulting in many missed opportunities to save lives. Anjana Rajan will demo one way to solve this low reporting rate: through the use of a digital escrow.

2) Fair Algorithmic Housing Loans. Mortgage lenders increasingly use machine learning algorithms to make loan approval and pricing decisions. While there are some benefits to this automation, how can we ensure fairness among historically marginalized and underbanked populations? Samara Trilling recommends that state lending regulators define a fairness metric for mortgage algorithms and pilot automated fair lending tests.

Jul 8, 2020 09:00 AM in Pacific Time (US and Canada)

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