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

TL;DR

This paper proposes a conceptual framework using embedded data comics within inclusive learning analytics to improve public understanding and engagement with AI ethics, addressing cognitive biases and diverse demographics.

Contribution

It introduces a novel approach combining data comics and inclusive analytics to enhance public comprehension of complex AI ethical issues.

Findings

Data comics transform complex AI ethics into relatable stories.

Inclusive analytics targets diverse demographics and mindsets.

Encourages continuous public reflection on AI ethics incidents.

Abstract

Public awareness of AI ethics plays a crucial role in fostering the responsible and sustainable development of AI technology. However, finding effective ways to promote public understanding of the ethical risks of AI remains a challenge. Given the complexity of AI ethical issues and the cognitive limitations of the public, this review paper proposes a conceptual framework for inclusive learning analytics with embedded data comics. Data comics help transform complex and abstract AI ethics cases into compelling and relatable stories, fostering public empathy and introspection. More importantly, inclusive learning analytics targets not only people of different demographic attributes, but also different mindsets with inherent cognitive biases. By providing equal and easily accessible channels for AI ethics issues, we aim to encourage the public to reflect on AI ethics incidents from multiple perspectives and develop the habit of continuous learning to adapt to evolving AI technologies and ethical risks.