Responsible AI: A Primer for the Legal Community

Abstract

Artificial intelligence (AI) is increasingly being adopted for automation and decision-making tasks across all industries, public sector, and law. Applications range from hiring and credit limit decisions, to loan and healthcare claim approvals, to criminal sentencing, and even the selective provision of information by social media companies to different groups of viewers. The increased adoption of AI, affecting so many aspects of our daily lives, highlights the potential risks around automated decision making and the need for better governance and ethical standards when deploying such systems. In response to that need, governments, states, municipalities, private sector organizations, and industry groups around the world have drafted hundreds, perhaps even thousands at this point - of new, regulatory proposals and guidelines; many already in effect and more on the way. The data-driven and often black box nature of these systems does not absolve organizations from the social responsibility or increasingly commonplace regulatory requirements to confirm they work as intended and are deployed in a responsible manner, lest they run the risk of reputational damage, regulatory fines, and/or legal action. The legal community should have a good understanding of the responsible development and deployment of artificial intelligence in order to inform, translate, and advise on the legal implications of AI systems.

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