We Are AI: Taking Control of Technology

Public engagement is essential for responsible AI: The paper emphasizes that achieving responsible AI "requires active engagement and participation from the broader public," suggesting that AI governance cannot be left solely to technical experts and policymakers.

Peer learning makes AI accessible: The course uses a "peer-learning setting" to bring AI and responsible AI topics to general audiences, indicating that collaborative, non-hierarchical educational approaches may be more effective for public understanding than traditional lecture formats.

Iterative design matters: The authors describe a "multi-year iterative process" in developing the course, suggesting that creating effective public AI education requires sustained refinement based on feedback and real-world testing rather than one-time curriculum design.

Open resources democratize AI literacy: The course materials, including a multilingual comic book series, are "publicly available and can be used independently," making responsible AI education accessible beyond a single institution and supporting broader community efforts to build AI literacy.

Responsible AI balances multiple stakeholder interests: The paper defines RAI as ensuring AI "benefits diverse stakeholders while controlling the risks," highlighting that responsible AI development requires considering the needs and concerns of many different groups, not just corporations or technologists.