AI Risk Mitigation Strategies: An Evidence-Based Mapping and Taxonomy

This ArXiv article provides a valuable contribution to the nascent field of AI safety by systematically cataloging and organizing existing risk mitigation strategies. The preliminary taxonomy offers a useful framework for researchers and practitioners to understand and address the multifaceted challenges posed by advanced AI systems.