KEY LEARNINGS
- Human-Centered AI (HCAI) prioritizes augmenting human capabilities rather than replacing them, ensuring people remain effective and in control.
- Automation is not binary; it exists on a spectrum from Level 1 (fully manual) to Level 6 (fully autonomous), allowing for nuanced design choices.
- Meaningful human oversight requires that operators have the authority, competence, and time to override AI decisions, not just 'rubber stamp' them.
- The EU AI Act mandates that high-risk AI systems be designed with built-in human-machine interface tools to prevent automation bias.
- Effective collaboration requires feedback loops where the AI learns from human corrections, improving performance over time.
- 🔗Shneiderman: Human-Centered AIFoundational book on Human-Centered AI principles.
- 🌐Google PAIR: People + AI GuidebookGoogle's practical guide for human-AI collaboration.
- 🌐EU AI Act Article 14: Human OversightOfficial text of EU AI Act human oversight requirements.
- Shneiderman, B. (2022). Human-Centered AI. Oxford University Press.
- Amershi, S., et al. (2019). Guidelines for Human-AI Interaction. CHI Conference.
- European Parliament. (2024). Regulation (EU) 2024/1689 (EU AI Act).
