BABL AIhas long served as a leader in AI system audits. One way we’ve shared our expertise is through academic publications. In the paper Algorithmic Bias and Risk Assessments, CEO Shea Brown, Chief Ethics Officer Jovana Davidovic, and Senior Advisors Benjamin Lange and Mitt Regan outline a clear approach to evaluating algorithmic systems for ethical risk.

In the paper, they emphasized the distinction between ethical risk and technical algorithmic bias assessments. They discuss the interdependence of these assessments and stress the importance of situating algorithms within their socio-technical contexts. Drawing on their experience in advising and conducting ethical risk assessments for clients across various industries, the authors identify key factors that may be ethically relevant in algorithm use. They aim to contribute insights to the emerging field of algorithm assessment and audits, with the overarching goal of minimizing the risk of harm associated with algorithmic systems.

You can read the full article HERE.