Podcast: Ethics of AI in ContextEpisode: Kamilah Ebrahim & Erina Moon, Building Algorithms that Work for EveryonePub date: 2022-04-01Notes from Over The Wire Podcast:Oftentimes, the development of algorithms are divorced from the environments where they will eventually be deployed. This talk will seek to explain the status quo of child welfare algorithms, what we miss when we fail to include context in the development of algorithms, and how the addition of qualitative text data can help to make better algorithms.Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationOftentimes, the development of algorithms are divorced from the environments where they will eventually be deployed. In high stakes contexts, like child welfare services, policymakers and technologists must exercise a high degree of caution in the design and deployment of decisionmaking algorithms or risk further marginalising already vulnerable communities. This talk will seek to explain the status quo of child welfare algorithms, what we miss when we fail to include context in the development of algorithms, and how the addition of qualitative text data can help to make better algorithms.

Kamilah Ebrahim
iSchool
University of Toronto

Erina Moon
iSchool
University of TorontoThe podcast and artwork embedded on this page are from Ethics of AI Lab, University of Toronto, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

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