Resource Automation + AI Mitigating Harm + Bias

Looking before we leap: Exploring AI and data science ethics review process

This report explores the role that academic and corporate Research Ethics Committees play in evaluating AI and data science research for ethical issues, and also investigates the kinds of common challenges these bodies face.

Organizations: Ada Lovelace Institute, University of Exeter’s Institute for Data Science and Artificial Intelligence (IDSAI), Alan Turing Institute

Authors: University of Exeter’s Institute for Data Science and Artificial Intelligence (IDSAI), Alan Turing Institute

Published Year: 2023

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The report examines the shortcomings of current research ethics committees (RECs) in effectively addressing the ethical, societal, and environmental risks associated with AI and data science research.

It highlights six main challenges, such as lack of expertise and transparency, and recommends expanding REC processes through broader impact assessments, interdisciplinary expertise, improved training, standardized principles, and increased funding to promote responsible AI research.