• Kamilah Ebrahim & Erina Moon, Building Algorithms that Work for Everyone

  • 2022/04/01
  • 再生時間： 20 分
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Kamilah Ebrahim & Erina Moon, Building Algorithms that Work for Everyone

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  • Oftentimes, 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 Toronto
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Oftentimes, 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 Toronto
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