Tag: explainable ai
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Weekly digest (19-23 Jul 2021)
Khetpal, V., & Shah, N. (2021, May 28). How a largely untested AI algorithm crept into hundreds of hospitals. Fast Company. The use of algorithms to support clinical decision-making isn’t new. But historically, these tools have been put into use only after a rigorous peer review of the raw data and statistical analyses used to…
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Resource: AI Blindspot – A discovery process for spotting unconscious biases and structural inequalities in AI systems.
AI Blindspots are oversights in a team’s workflow that can generate harmful unintended consequences. They can arise from our unconscious biases or structural inequalities embedded in society. Blindspots can occur at any point before, during, or after the development of a model. The consequences of blindspots are challenging to foresee, but they tend to have…
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We Need Transparency in Algorithms, But Too Much Can Backfire
The students had also been asked what grade they thought they would get, and it turned out that levels of trust in those students whose actual grades hit or exceeded that estimate were unaffected by transparency. But people whose expectations were violated – students who received lower scores than they expected – trusted the algorithm…