AI ethics: from principles to practice
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When AI is used in research with human participation or data, ethical implications require close consideration by Human Research Ethics Committees.
“When AI is used in research with human participation or data, ethical implications require close consideration by Human Research Ethics Committees, also known as Institutional Review Boards (Herington et al., 2023;Zhou & Chen, 2023).”
From A university framework for the responsible use of generative AI in research (2026) · cites this paper as Zhou & Chen, 2023
Multimodal Learning focuses on combining language understanding with computer vision and audio processing to achieve richer, multi-sensory context awareness.
“Multimodal Learning in AI, a rapidly evolving subdomain, focuses on combining language understanding with computer vision and audio processing to achieve a richer, multi-sensory context awareness [114], [268].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [268]
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- Authors
- Zhou, J., & Chen, F.
- Affiliations
- University of Technology Sydney (AU)
- Corresponding author
- Zhou, Jianlong
- Venue
- AI & SOCIETY
- Published
- 2022-11-24
- Volume
- 38
- Issue
- 6
- Pages
- 2693-2703
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W4309941119
- Cited by
- 72
- References
- 24
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 18 · 2023: 5 · 2022: 1
- FWCI
- 15.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- AI & Society (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- AI ethics, ethical principles, stakeholder collaboration
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