AI and Ethics

Titel Veröffentlichungsdatum Sprache Zitate
The interrelation between data and AI ethics in the context of impact assessments2020/11/22English17
From ethical AI frameworks to tools: a review of approaches2023/02/09English16
The AI ethicist’s dilemma: fighting Big Tech by supporting Big Tech2021/12/08English15
Meaningful human control: actionable properties for AI system development2022/05/18English15
Facebook’s ethical failures are not accidental; they are part of the business model2021/06/05English15
Operationalising AI governance through ethics-based auditing: an industry case study2022/05/31English15
Responsible AI and moral responsibility: a common appreciation2020/10/06English15
Identifying key ethical debates for autonomous robots in agri-food: a research agenda2021/10/04English14
Human rights for robots? A literature review2021/03/27English14
The ethics of AI business practices: a review of 47 AI ethics guidelines2022/04/13English14
Artificial intelligence and real-time predictive maintenance in industry 4.0: a bibliometric analysis2022/03/10English14
Explainable machine learning practices: opening another black box for reliable medical AI2022/02/15English14
Data minimization for GDPR compliance in machine learning models2021/09/26English13
Management perspective of ethics in artificial intelligence2020/11/16English13
Conceptual and normative approaches to AI governance for a global digital ecosystem supportive of the UN Sustainable Development Goals (SDGs)2021/05/06English13
From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience2022/01/12English13
A choices framework for the responsible use of AI2020/10/06English13
Towards responsible media recommendation2021/11/02English13
Operationalising ethics in artificial intelligence for healthcare: a framework for AI developers2022/07/19English12
Artificial intelligence and disability: too much promise, yet too little substance?2020/10/06English11
How safe is our reliance on AI, and should we regulate it?2020/10/06English11
Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals2022/08/29English11
Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice2021/06/13English11
Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability2022/04/28English11
AI auditing and impact assessment: according to the UK information commissioner’s office2021/02/07English11
AI ethics: the case for including animals2022/07/06English11
The road to a human-centred digital society: opportunities, challenges and responsibilities for humans in the age of machines2021/11/16English10
Towards AI ethics’ institutionalization: knowledge bridges from business ethics to advance organizational AI ethics2022/03/21English10
Real Estate Data Marketplace2021/04/20English10
Bridging the gap: the case for an ‘Incompletely Theorized Agreement’ on AI policy2021/01/15English10