Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI, Trust and Reliability
3
Zitationen
1
Autoren
2025
Jahr
Abstract
Abstract Baron claims that we can, given a sound inductive basis, appropriately trust unexplainable AI systems. Fan disagrees and claims that the opacity of these systems disqualifies them as appropriate objects of trust. In this response, I argue that Baron’s case for trusting unexplainable AI systems is stronger than Fan holds. Along the way, I suggest some implications for thinking about trusting AI systems.
Ähnliche Arbeiten
The global landscape of AI ethics guidelines
2019 · 4.750 Zit.
The Limitations of Deep Learning in Adversarial Settings
2016 · 3.890 Zit.
Trust in Automation: Designing for Appropriate Reliance
2004 · 3.523 Zit.
Fairness through awareness
2012 · 3.303 Zit.
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
2018 · 3.219 Zit.