AI Harm

AI harm research focuses on identifying and mitigating the negative consequences of artificial intelligence systems, encompassing misuse, bias, and unintended societal impacts. Current research emphasizes the development of taxonomies to categorize harms, investigates the role of explainability and fairness in shaping public reactions to AI-caused harm, and explores methods for evaluating and mitigating risks during AI application prototyping. This field is crucial for ensuring responsible AI development and deployment, informing policy decisions, and promoting the ethical integration of AI into society.