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Designing AI to Work WITH or FOR People?

Published:08 May 2021Publication History

ABSTRACT

Artificial Intelligence (AI) can refer to the machine learning algorithms and the automation applications built on top of these algorithms. Human-computer interaction (HCI) researchers have studied these AI applications and suggested various Human-Centered AI (HCAI) principles for an explainable, safe, reliable, and trustworthy interaction experience. While some designers believe that computers should be supertools and active appliances, others believe that these latest AI systems can be collaborators. With today’s AI algorithm breakthroughs, in this panel we ask whether the supertool or the collaboration metaphors best support work and play? How can we design AI systems to work best with people or for people? What does it take to get there? This panel will bring together panelists with diverse backgrounds to engage the audience through the discussion of their shared or diverging visions on the future of human-AI interaction design.

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    • Published in

      cover image ACM Conferences
      CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
      May 2021
      2965 pages
      ISBN:9781450380959
      DOI:10.1145/3411763

      Copyright © 2021 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

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      Publication History

      • Published: 8 May 2021

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