KEY LEARNINGS
- AI is best defined as a machine-based system that infers patterns from data to make predictions, recommendations, or decisions.
- Unlike traditional automation, which follows explicit rules, AI systems learn implicit patterns that may include hidden biases.
- AI must be understood as a socio-technical system where failures often arise from the interaction between technology and human context.
- The term 'artificial intelligence' originated at the 1956 Dartmouth Workshop, though early optimism about rapid progress proved premature.
- Effective governance requires distinguishing between systems that follow rules (traditional software) and systems that learn and infer (AI).
- 🌐OECD AI Policy ObservatoryInternational AI policy resources and country tracker.
- 🌐Stanford HAI: Defining AIStanford's Human-Centered AI Institute resources.
- 📰MIT Technology Review: AI ExplainerAccessible explanations of AI concepts.
- OECD. (2019). Recommendation of the Council on Artificial Intelligence. OECD Legal Instruments.
- McCarthy, J., et al. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence.
- Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
