Enabling human-centered AI: A new junction and shared journey between AI and HCI communities

Over 1,000 documented AI accidents demonstrate the risks of technology-centered development: The AI Incident Database has recorded more than a thousand AI-related accidents, highlighting that focusing solely on technical capabilities without considering human needs and safety leads to real-world harms.

Human-centered AI requires combining technical expertise with user experience design: The paper argues that AI systems—from autonomous vehicles to decision-making tools—need input from both AI developers and UX designers to achieve critical goals like usability, explainability, and ethical operation.

AI and HCI communities must collaborate more deliberately: While human-centered AI is gaining acceptance, the paper identifies a gap: AI and human-computer interaction experts aren't systematically working together, creating uncertainty about how to actually implement responsible AI in practice.

Current AI development prioritizes technology over human needs: The "technology-centered" approach that dominates AI development is identified as a primary cause of failures, suggesting that shifting priorities toward human considerations could prevent many problems before they occur.

Effective collaboration requires specific, actionable recommendations: The paper provides nine recommendations for how AI researchers and HCI professionals should work together, indicating that responsible AI development needs structured frameworks and shared practices between these two communities.