Navigating AI Incidents: The Database Impact

This chapter explores the significance of the AI Incident Database, emphasizing its role in consolidating various perspectives on AI-related incidents for both corporations and the public. It discusses the challenges of machine learning systems and the ethical considerations faced by algorithm designers, highlighting the need for transparency and representation in the field. The conversation also touches on the diverse contributions to the database from around the globe, aiming to enhance understanding and knowledge sharing in AI technology.