Journal article
Six human-centered artificial intelligence grand challenges
- Abstract:
- Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the human condition in ways that are not yet well understood. Negative unintended consequences abound including the perpetuation and exacerbation of societal inequalities and divisions via algorithmic decision making. We present six grand challenges for the scientific community to create AI technologies that are human-centered, that is, ethical, fair, and enhance the human condition. These grand challenges are the result of an international collaboration across academia, industry and government and represent the consensus views of a group of 26 experts in the field of human-centered artificial intelligence (HCAI). In essence, these challenges advocate for a human-centered approach to AI that (1) is centered in human well-being, (2) is designed responsibly, (3) respects privacy, (4) follows human-centered design principles, (5) is subject to appropriate governance and oversight, and (6) interacts with individuals while respecting human’s cognitive capacities. We hope that these challenges and their associated research directions serve as a call for action to conduct research and development in AI that serves as a force multiplier towards more fair, equitable and sustainable societies.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 5.4MB, Terms of use)
-
- Publisher copy:
- 10.1080/10447318.2022.2153320
Authors
- Publisher:
- Taylor and Francis
- Journal:
- International Journal of Human-Computer Interaction More from this journal
- Volume:
- 39
- Issue:
- 3
- Pages:
- 391-437
- Publication date:
- 2023-01-02
- Acceptance date:
- 2022-11-27
- DOI:
- EISSN:
-
1532-7590
- ISSN:
-
1044-7318
- Language:
-
English
- Keywords:
- Pubs id:
-
1310292
- Local pid:
-
pubs:1310292
- Deposit date:
-
2022-11-28
Terms of use
- Copyright holder:
- Ozmen Garibay et al.
- Copyright date:
- 2023
- Rights statement:
- 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record