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  1. While the standard Data to Decisions framework treats the output of an algorithm as a decision, thus evaluating how a machine could perform if given complete decision authority, Bryce studies when the algorithmic output is given as input to a decision-maker with exogenous properties.

  2. Cited by. Year. On the fairness of machine-assisted human decisions. T Gillis, B McLaughlin, J Spiess. arXiv preprint arXiv:2110.15310. , 2021. 14. 2021. Algorithmic assistance with...

  3. Bryce McLaughlin. Writer: Genesis Code. Bryce McLaughlin was born in small town Port Alberni located on Vancouver Island. His father was a Middle School principal and worked for the cities family guidance association. In 1994 he moved to Vancouver to train as an actor the Vancouver Film School.

  4. Bryce Hunter McLaughlin is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). The site facilitates research and collaboration in academic endeavors.

  5. Canadian filmmaker, Bryce McLaughlin, has been writing, producing, directing, and acting for the better part of two decades. Well versed in all aspects of production, his career as an Assistant Director began later in his life.

  6. Research Statement. Current Status: Working Paper. Additional Material: Link to preanalysis plan. Designing Algorithmic Recommendations to Achieve Human–AI Complementarity. with Jann Spiess. Google...

  7. Aug 16, 2022 · Algorithmic Assistance with Recommendation-Dependent Preferences. Bryce McLaughlin, Jann Spiess. When an algorithm provides risk assessments, we typically think of them as helpful inputs to human decisions, such as when risk scores are presented to judges or doctors.