The IEAI published its first White Paper of the new IEAI White Paper Series this week. The paper, entitled On a Risk-Based Assessment Approach to AI Ethics Governance, outlines a first step towards operationalizing an applied “risk-based assessment approach” to AI ethics governance.
Using this approach, individuals can conceptualize, assess, identify and visualize the many dimensions, the loci and extents of ethical and societal risks posed by a particular AI application. The blueprint outlined follows a three step approach that builds off existing practices, including (1) Granular Risks Assessment, (2) Granular Risks Visualization and (3) Holistic Risk Categorization. This framework will be useful as companies and other stakeholders dig into mechanisms for AI risk assessment in light of upcoming regulatory requirements.
