Mapping AI Ethics Narratives: Evidence from Twitter Discourse Between 2015 and 2022

Public Twitter discourse reveals diverse AI ethics concerns: The study analyzed Twitter conversations from 2015-2022 to identify what ordinary people care about regarding AI ethics, demonstrating that social media can serve as a valuable "public sphere" for understanding real-world concerns about AI technology beyond expert circles.

Multiple voices matter, including minority perspectives: The research framework was specifically designed to capture both popular topics and "small but important voices" in AI ethics discussions, suggesting that policymakers should not only focus on dominant narratives but also pay attention to emerging or underrepresented concerns in public discourse.

AI ethics narratives need to be made accessible: The paper emphasizes transforming "fragmented and difficult-to-understand social media information into coherent and easy-to-read stories," highlighting that complex AI ethics issues must be communicated clearly to enable meaningful public participation in AI governance.

Public oversight is essential for responsible AI development: The authors advocate that policymakers should "enhance public oversight of AI technologies" to promote their "fair and sustainable development," positioning public engagement and transparency as key mechanisms for ensuring AI is developed responsibly.

Social media analysis can inform policy: By mapping AI ethics narratives on Twitter, this research demonstrates that analyzing public online discourse provides actionable insights for policymakers seeking to understand citizen concerns and incorporate public values into AI governance decisions.