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.

翻译：公众对AI伦理的认知在促进人工智能技术负责任且可持续发展中起着关键作用。然而，如何有效提升公众对AI伦理风险的理解仍是一项挑战。鉴于AI伦理议题的复杂性及公众认知局限，本述评提出一种融合数据漫画的包容性学习分析概念框架。数据漫画能将抽象复杂的AI伦理案例转化为引人共鸣的故事，促进公众共情与内省。更关键的是，包容性学习分析不仅面向不同人口属性的群体，更关注具有先天认知偏见的差异化思维模式。通过构建平等易及的AI伦理议题参与渠道，我们旨在引导公众多维度反思AI伦理事件，并培养持续学习的习惯，以应对不断演进的AI技术与伦理风险。