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Algorithms are formulas that are applied to data sets and can lead to predictions. These predictions can have dire consequences for individuals when those predictions are used to make decisions about employment, imprisonment, or designation on a watch list. Bias can be “baked in” to an algorithm, either intentionally or implicitly. Such bias might be difficult to discover and doing so might require significant expense and expertise. Moreover, bias might become even harder to uncover as algorithms become self-adjusting and changing without human intervention.

Join Gail Gottehrer of the Law Office of Gail Gottehrer LLC and Ronald J. Hedges of Dentons US LLP as they discuss:

  • The nature of algorithms and how bias can be built into them
  • Means by which bias can be detected in algorithms
  • Remedies available for decisions based on biased algorithms
  • Ethical design of algorithms


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