mlsanityData to 14 Oct 2026

A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI

arXiv 2302.05284 ↗First posted 10 Feb 2023cs.HC cs.AI cs.CYcited by 6

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Abstract (arXiv)

As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important to consider AI's ethical and societal implications. In this paper, we present a bottom-up mapping of the current state of research at the intersection of Human-Centered AI, Ethical, and Responsible AI (HCER-AI) by thematically reviewing and analyzing 164 research papers from leading conferences in ethical, social, and human factors of AI: AIES, CHI, CSCW, and FAccT. The ongoing research in HCER-AI places emphasis on governance, fairness, and explainability. These conferences, however, concentrate on specific themes rather than encompassing all aspects. While AIES has fewer papers on HCER-AI, it emphasizes governance and rarely publishes papers about privacy, security, and human flourishing. FAccT publishes more on governance and lacks papers on privacy, security, and human flourishing. CHI and CSCW, as more established conferences, have a broader research portfolio. We find that the current emphasis on governance and fairness in AI research may not adequately address the potential unforeseen and unknown implications of AI. Therefore, we recommend that future research should expand its scope and diversify resources to prepare for these potential consequences. This could involve exploring additional areas such as privacy, security, human flourishing, and explainability.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 72 of its 282 references that are in the map. First posted on arXiv 10 Feb 2023.

Builds on

72 of 282 references.

References · 72

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38 more
  1. 2019The relationship between trust in AI and trustworthy machine learning technologiescited by 78
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50 most cited of 72 All 72 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 2; 2026: 2.

6 papers.

  1. 2024Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governancecited by 4
  2. 2025"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizationscited by 1
  3. 2023Beyond XAI:Obstacles Towards Responsible AIcited by 0
  4. 2025"I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessmentcited by 0
  5. 2026Designing for Disagreement: Front-End Guardrails for Assistance Allocation in LLM-Enabled Robotscited by 0
  6. 2026Designing the Future of User Feedback for Generative AIcited by 0