Responsible and human centric AI-based insurance advisors
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Human-compatible, human-centric approaches, AI for social good, and human computation or interactive machine learning are computing paradigms aligned with the human agency and oversight requirement.
“For the preservation of human rights, humancompatible [20], human-centric approaches [14,21,22], AI for social good [7,23] and human computation or interactive machine learning [24] are computing paradigms aligned with this requirement.”
From Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023) · cites this paper as [22]
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Cited by
Sorted by citations
Díaz-Rodríguez, N., Del Ser, J., Coeckelbergh, M., López de Prado, M., Herrera-Viedma, E., & Herrera, F. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101896 · Cited by 800 · see citing works
Self-citation
- Authors
- Pisoni, G., & Díaz-Rodríguez, N.
- Affiliations
- Université Côte d'Azur (FR)
- Universidad de Granada (ES)
- Corresponding author
- Pisoni, Galena
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 60
- Issue
- 3
- Pages
- 103273
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W4320532297
- Cited by
- 42
- References
- 5
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 14 · 2023: 11
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Information Processing & Management (publishedVersion)
- Institutional Repository of the University of Granada (University of Granada) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- responsible AI, human-centered AI, recommender systems, AI regulation, trustworthy AI, ethical AI, transparency, consumer acceptance, insurance companies
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