The challenge of human centric AI
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Human-centric AI is the emerging overarching value framework of AI ethics.
“This section closes with an exploration of “human centric AI,” which we take to be the emerging overarching value framework of AI ethics.9”
From A high-level overview of AI ethics (2021) · cites this paper as [9]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Advances in Neural Information Processing Systems 29
Teymur, O., Zygalakis, K., & Calderhead, B. (2016) · Cited by 13,881 · see citing works
Prototypical Networks for Few-shot LearningPreprint
Snell, J., Swersky, K., & Zemel, R. S. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.05175 · Cited by 5,863 · see citing works
Power to the People: The Role of Humans in Interactive Machine Learning
Amershi, S., Cakmak, M., Knox, W. B., & Kulesza, T. (2014) · AI Magazine · doi:10.1609/aimag.v35i4.2513 · Cited by 1,084 · see citing works
Samek, W., Wiegand, T., & Müller, K.-R. (2017) · arXiv · doi:10.48550/arxiv.1708.08296 · Cited by 1,080 · see citing works
Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., & Kankanhalli, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174156 · Cited by 743 · see citing works
The Nature, Importance, and Difficulty of Machine Ethics
Moor, J. H. (2006) · IEEE Intelligent Systems · doi:10.1109/mis.2006.80 · Cited by 704 · see citing works
Nowak, A. K., Lukowicz, P., & Horodecki, P. (2018) · IEEE Technology and Society Magazine · doi:10.1109/mts.2018.2876105 · Cited by 65 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
A high-level overview of AI ethics
Kazim, E., & Koshiyama, A. S. (2021) · Patterns · doi:10.1016/j.patter.2021.100314 · Cited by 269 · see citing works
Pedreschi, D., Pappalardo, L., Ferragina, E., Baeza-Yates, R., Barabási, A.-L., Dignum, F., Dignum, V., Eliassi-Rad, T., Giannotti, F., Kertész, J., et al. (2025) · Artificial Intelligence · doi:10.1016/j.artint.2024.104244 · Cited by 102 · see citing works
Self-citation
- Authors
- Lukowicz, P.
- Corresponding author
- Lukowicz, Paul
- ORCID
- Lukowicz, Paul
- Venue
- Digitale Welt
- Published
- 2019-09-02
- Volume
- 3
- Issue
- 4
- Pages
- 9-10
- ISSN
- 2510-3008 (ISSN-L)
- 2569-1996
- OpenAlex
- W2971358765
- Cited by
- 13
- References
- 7
- Citations by year
- 2024: 4 · 2023: 5 · 2021: 2 · 2020: 2
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Digitale Welt (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- human-centered AI, artificial intelligence, human-AI interaction, AI ethics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
