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Apr. 14, 2021

AI Compliance Playbook: Traditional Risk Controls for Cutting-Edge Algorithms

  • Matt Fleischer-Black
    Cybersecurity Law Report
Despite the skyrocketing corporate adoption of artificial intelligence and machine learning (AI/ML) during the pandemic, many companies view existing AI/ML laws and guidance as unnervingly inadequate – a new KPMG survey reports that 86% of company leaders across business sectors now desire government regulation of AI. This first article in a three-part series fills in the current regulatory gap by describing essential steps for an AI/ML compliance program, including adapting 1970s anti-discrimination practices to meet the future. It also reports on data scientists’ recent compilations of AI/ML failures. Part two will detail seven AI/ML risks that companies now face, and part three will discuss how algorithm auditing works. See “How to Achieve Trustworthy AI Using the European Commission’s Final Assessment List” (Aug. 5, 2020).

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