Abstract
Just recently, IBM invited me to participate in a panel titled “Will AI ever be completely fair?” My first reaction was that it surely would be a very short panel, as the only possible answer is ‘no’. In this short paper, I wish to further motivate my position in that debate: “I will never be completely fair. Nothing ever is. The point is not complete fairness, but the need to establish metrics and thresholds for fairness that ensure trust in AI systems”.
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Notes
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As quoted by Kate Crawford on Twitter https://twitter.com/katecrawford/status/1377551240146522115; 1 April 2021.
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This example is at the core of the well-known Propublica investigations of the COMPAS algorithms used by courts in the US to determine recidivism risk: www.propublica.org/article/how-we-analyzed-the-compasrecidivism-algorithm.
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Dignum, V. (2021). The Myth of Complete AI-Fairness. In: Tucker, A., Henriques Abreu, P., Cardoso, J., Pereira Rodrigues, P., Riaño, D. (eds) Artificial Intelligence in Medicine. AIME 2021. Lecture Notes in Computer Science(), vol 12721. Springer, Cham. https://doi.org/10.1007/978-3-030-77211-6_1
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DOI: https://doi.org/10.1007/978-3-030-77211-6_1
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