Responsible Artificial Intelligence -- from Principles to Practice
Not on the map. Why?
Abstract (arXiv)
The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations. AI is changing the way we work, live and solve challenges but concerns about fairness, transparency or privacy are also growing. Ensuring responsible, ethical AI is more than designing systems whose result can be trusted. It is about the way we design them, why we design them, and who is involved in designing them. In order to develop and use AI responsibly, we need to work towards technical, societal, institutional and legal methods and tools which provide concrete support to AI practitioners, as well as awareness and training to enable participation of all, to ensure the alignment of AI systems with our societies' principles and values.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 2 of its 10 references that are in the map. First posted on arXiv 22 May 2022.
Builds on
2 of 10 references.
References · 2
Built on by
Citing papers per year: 2023: 1; 2024: 3; 2025: 2.
6 papers.
- 2024Secret Use of Large Language Model (LLM)cited by 9
- 2024Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systemscited by 3
- 2023Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questionscited by 1
- 2025Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)cited by 1
- 2024Responsible AI: Portraits with Intelligent Bibliometricscited by 0
- 2025FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelinescited by 0
- 2025FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines10 Jun 2025
- 2025Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)22 May 2025
- 2024Secret Use of Large Language Model (LLM)28 Sep 2024
- 2024Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems28 Aug 2024
- 2024Responsible AI: Portraits with Intelligent Bibliometrics5 May 2024
- 2023Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions19 May 2023