Inclusive Learning Analytics with Embedded Data Comics: A Conceptual Framework for Public Understanding of AI Ethics

Storytelling through "data comics" can make complex AI ethics issues more accessible to the general public by transforming abstract ethical problems into compelling, relatable narratives that foster empathy and encourage people to think critically about AI risks.

Public understanding of AI ethics is essential for responsible AI development, yet current approaches struggle to communicate these complex issues effectively to diverse audiences with varying levels of technical knowledge and cognitive abilities.

A one-size-fits-all approach to AI ethics education is insufficient—the framework emphasizes the need to reach people with different demographic backgrounds and inherent cognitive biases by providing "equal and easily accessible channels" for learning about AI ethical issues.

Inclusive learning analytics should encourage multiple perspectives and continuous learning, helping the public develop ongoing habits of reflection as AI technologies and their associated ethical risks continue to evolve over time.

Addressing cognitive limitations is key to public engagement—by acknowledging that people have natural cognitive constraints, the framework proposes designing educational approaches that work with rather than against how people actually process and understand information.