mlsanityData to 7 Oct 2026

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

arXiv 2302.08157 ↗First posted 16 Feb 2023cs.HC cs.AIcited by 8

Not on the map. Why?

Abstract (arXiv)

In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence. While different research communities may use different terminology to discuss similar topics, all of this work is ultimately aimed at developing AI that benefits humanity while being grounded in human rights and ethics, and reducing the potential harms of AI. In this special interest group, we aim to bring together researchers from academia and industry interested in these topics to map current and future research trends to advance this important area of research by fostering collaboration and sharing ideas.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 7 of its 35 references that are in the map. First posted on arXiv 16 Feb 2023.

Builds on

7 of 35 references.

References · 7

  1. 2021Expanding Explainability: Towards Social Transparency in AI systemscited by 124
  2. 2021Human-Centered Explainable AI (XAI): From Algorithms to User Experiencescited by 123
  3. 2019Artificial Intelligence: the global landscape of ethics guidelinescited by 107
  4. 2022How Different Groups Prioritize Ethical Values for Responsible AIcited by 49
  5. 2022Whose AI Dream? In search of the aspiration in data annotationcited by 24
  6. 2020Overcoming Failures of Imagination in AI Infused System Development and Deploymentcited by 22
  7. 2021"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Algorithmic Decision-Making Systems?cited by 13

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 0; 2025: 3; 2026: 1.

8 papers.

  1. 2023Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questionscited by 42
  2. 2023An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AIcited by 3
  3. 2025OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviewscited by 3
  4. 2023Making Data Work Countcited by 2
  5. 2025The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platformcited by 2
  6. 2023FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computingcited by 0
  7. 2025Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionalscited by 0
  8. 2026"I'm happy even though it's not real": GenAI Photo Editing as a Remembering Experiencecited by 0