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Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing
Using these results, we show further that one can adapt the value of the threshold {\delta} to achieve quality-equivalence across voting processes that employ workers of different accuracy levels.
Overcoming Failures of Imagination in AI Infused System Development and Deployment
NeurIPS 2020 requested that research paper submissions include impact statements on "potential nefarious uses and the consequences of failure."
Fairness
Computers and Society
