Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Review of Trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Directions
181
Zitationen
4
Autoren
2021
Jahr
Abstract
Artificial Intelligence (AI) can benefit society, but it is also fraught with risks. Societal adoption of AI is recognized to depend on stakeholder trust in AI, yet the literature on trust in AI is fragmented, and little is known about the vulnerabilities faced by different stakeholders, making it is difficult to draw on this evidence-base to inform practice and policy. We undertake a literature review to take stock of what is known about the antecedents of trust in AI, and organize our findings around five trust challenges unique to or exacerbated by AI. Further, we develop a concept matrix identifying the key vulnerabilities to stakeholders raised by each of the challenges, and propose a multi-stakeholder approach to future research.
Ähnliche Arbeiten
The global landscape of AI ethics guidelines
2019 · 4.708 Zit.
The Limitations of Deep Learning in Adversarial Settings
2016 · 3.884 Zit.
Trust in Automation: Designing for Appropriate Reliance
2004 · 3.501 Zit.
Fairness through awareness
2012 · 3.300 Zit.
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
2018 · 3.191 Zit.