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First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U)

Published: 20 September 2023 Publication History

Abstract

The emerging concept of Human-Centred Artificial Intelligence (HCAI) involves the amplification, augmentation, empowerment, and enhancement of individuals. The goal of HCAI is to ensure that AI meets our needs while also operating transparently, delivering fair and equitable outcomes, and respecting privacy, all while preserving human control. This approach involves multiple stakeholders, such as researchers, developers, business leaders, policy makers, and users, who are affected in various ways by the implementation and evaluation of AI systems.
The primary focus of the First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U) is to examine the potential positive and negative impacts of automated decision-making systems on end-users, as well as how their interaction with AI is influenced by human-centred aspects of reliability, safety, and fairness. The workshop aims to facilitate discussion and exchange of ideas among the community on advances in developing trustworthy, fair, and privacy-preserving systems, as well as user interfaces that are explainable, with a specific focus on the users’ perception in real-world scenarios rather than solely on the algorithmic and model performance. Additionally, HCAI4U aims to foster cross-disciplinary and interdisciplinary discussions between experts from various research fields, such as computer science, psychology, sociology, law, medicine, business, etc., to discuss problems and synergies in this exciting research topic.

References

[1]
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever. 2020. Generative pretraining from pixels. In International conference on machine learning. PMLR, 1691–1703.
[2]
Leo Gao, John Schulman, and Jacob Hilton. 2022. Scaling Laws for Reward Model Overoptimization. arxiv:2210.10760 [cs.LG]
[3]
Ben Shneiderman. 2022. Human-centered AI. Oxford University Press.

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cover image ACM Other conferences
CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter
September 2023
416 pages
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2023

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Author Tags

  1. Artificial Intelligence
  2. Explainability
  3. Fairness
  4. Human-Centred Artificial Intelligence
  5. Human-Computer Interaction
  6. Reliability
  7. Trustworthiness
  8. User Perspectives

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CHItaly 2023

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Overall Acceptance Rate 109 of 242 submissions, 45%

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