The State of AI Ethics Report (Volume 4)

Facial recognition technology risks repeating historical mistakes: Edward Higgs's analysis reveals that AI facial analysis systems may be scaling up unscientific practices from the history of facial analysis, suggesting that without careful ethical oversight, AI could amplify past errors in identifying and categorizing people based on appearance.

AI ethics requires interdisciplinary expertise: The report brings together perspectives from historians, anthropologists, philosophers, engineers, and policymakers, indicating that responsible AI development cannot be addressed by technologists alone and benefits from diverse fields of knowledge and viewpoints.

Four critical domains demand attention: The report identifies Ethical AI, Fairness & Justice, Humans & Tech, and Privacy as key areas requiring focus, suggesting that responsible AI governance must address multiple interconnected challenges rather than treating ethics as a single issue.

Rapid developments require ongoing monitoring: By tracking significant developments since January 2021, the report emphasizes that AI ethics is a fast-moving field where stakeholders—from policymakers to activists—need regular updates to stay informed about emerging risks and solutions.

Multiple stakeholder groups must engage: The report is designed for machine learning experts, human rights activists, and policymakers alike, reflecting the understanding that responsible AI requires coordinated action across technical, legal, advocacy, and policy communities.