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What regulatory measures can balance AI innovation and safety?  on February 15, 2024


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Fairness in machine learning: Regulation or standards? | Brookings - Brookings Institution

Machine Learning (ML) tools have become ubiquitous with the advent of Application Programming Interfaces (APIs) that make running formerly complex implementations easy with the click of a button in Business Intelligence (BI) software or one-line implementations in popular programming languages such as Python or R. However, machine learning can cause substantial socioeconomic harm through failures in fairness. We pose the question of whether fairness in machine learning should be regulated by the government, as in the case of the European Union’s (EU) initiative to legislate liability for harmful Artificial Intelligence (AI) and the New York City AI Bias law, or if an industry standard should arise, similar to the International Standards Organization (ISO) quality-management manufacturing standard ISO ...

brookings.edu     Feb 15, 2024