Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Managing extreme AI risks amid rapid progress
2024·221 Zitationen·Science
Volltext beim Verlag öffnen221
Zitationen
25
Autoren
2024
Jahr
Abstract
Preparation requires technical research and development, as well as adaptive, proactive governance.
Ähnliche Arbeiten
The global landscape of AI ethics guidelines
2019 · 4.480 Zit.
The Limitations of Deep Learning in Adversarial Settings
2016 · 3.853 Zit.
Trust in Automation: Designing for Appropriate Reliance
2004 · 3.361 Zit.
Fairness through awareness
2012 · 3.258 Zit.
Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer
1987 · 3.182 Zit.
Autoren
- Yoshua Bengio
- Geoffrey E. Hinton
- Andrew Chi-Chih Yao
- Dawn Song
- Pieter Abbeel
- Trevor Darrell
- Yuval Noah Harari
- Ya-Qin Zhang
- Xue Lan
- Shai Shalev‐Shwartz
- Gillian K. Hadfield
- Jeff Clune
- Tegan Maharaj
- Frank Hutter
- Atılım Güneş Baydin
- Sheila A. McIlraith
- Qiqi Gao
- Ashwin Acharya
- David Krueger
- Anca D. Dragan
- Philip H. S. Torr
- Stuart Russell
- Daniel Kahneman
- Jan Brauner
- Sören Mindermann
Institutionen
- Vector Institute(CA)
- University of Toronto(CA)
- Tsinghua University(CN)
- University of California, Berkeley(US)
- Hebrew University of Jerusalem(IL)
- Schwartz/Reisman Emergency Medicine Institute(CA)
- University of British Columbia(CA)
- University of Freiburg(DE)
- University of Oxford(GB)
- RAND Corporation(US)
- University of Cambridge(GB)
- Princeton Public Schools(US)
- Princeton University(US)
Themen
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and EducationAdversarial Robustness in Machine Learning