A survey of AI risk assessment methodologies

Abstract

In recognition of both the increasing importance of AI in our digital society and the wide diversity of use cases, policymakers across the globe are seeking to better understand the risks that these new AI systems might pose to society. A growing consensus is emerging in favor of risk-based approaches to regulating the use of AI. This consensus builds on the work of high-level expert groups, and studies by academics, industry associations, professional bodies and civil society.

This summary captures the main findings from EY teams survey of AI risk assessments (AIRA). The research aims to inform policymakers and regulatory stakeholders about noteworthy approaches to AIRA, including leading practices and policy trends.

Authors

David Wright, Nicole Santiago, Richa Kumar, Gabriella Ezeani

Date Published

February 16, 2022

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