Thanks Dave - interesting read! This paper 'Algorithmic Fairness and Economics', also co-authored by Tucker, is interesting https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3361280 ... Section 5.1 'Benchmarking vs Human Judgment' suggests algorithms are generally less bias than human decision makers, although, as the paper says, that's probably not a good benchmark
Thanks Lisa. That's a great paper. The authors make the distinction between biased predictions and biased objectives very clear, and note that only the former can be mitigated with technical solutions. They offer many useful conclusions, including that "Algorithmic bias may be easier to measure and address than human bias."
Thanks Dave - interesting read! This paper 'Algorithmic Fairness and Economics', also co-authored by Tucker, is interesting https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3361280 ... Section 5.1 'Benchmarking vs Human Judgment' suggests algorithms are generally less bias than human decision makers, although, as the paper says, that's probably not a good benchmark
Thanks Lisa. That's a great paper. The authors make the distinction between biased predictions and biased objectives very clear, and note that only the former can be mitigated with technical solutions. They offer many useful conclusions, including that "Algorithmic bias may be easier to measure and address than human bias."