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Why and How Governments Should Monitor AI Development

Why and How Governments Should Monitor AI Development

28 August 2021
Jess Whittlestone
Jack Clark
ArXivPDFHTML

Papers citing "Why and How Governments Should Monitor AI Development"

12 / 12 papers shown
Title
One Bad NOFO? AI Governance in Federal Grantmaking
One Bad NOFO? AI Governance in Federal Grantmaking
Dan Bateyko
Karen Levy
26
0
0
13 May 2025
Responsible Reporting for Frontier AI Development
Responsible Reporting for Frontier AI Development
Noam Kolt
Markus Anderljung
Joslyn Barnhart
Asher Brass
K. Esvelt
Gillian K. Hadfield
Lennart Heim
Mikel Rodriguez
Jonas B. Sandbrink
Thomas Woodside
42
13
0
03 Apr 2024
Trust AI Regulation? Discerning users are vital to build trust and
  effective AI regulation
Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation
Zainab Alalawi
Paolo Bova
Theodor Cimpeanu
A. D. Stefano
M. H. Duong
...
Han The Anh
Marcus Krellner
Bianca Ogbo
Simon T. Powers
Filippo Zimmaro
61
13
0
14 Mar 2024
Towards Publicly Accountable Frontier LLMs: Building an External
  Scrutiny Ecosystem under the ASPIRE Framework
Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework
Markus Anderljung
Everett Thornton Smith
Joe O'Brien
Lisa Soder
Ben Bucknall
Emma Bluemke
Jonas Schuett
Robert F. Trager
Lacey Strahm
Rumman Chowdhury
37
17
0
15 Nov 2023
An International Consortium for Evaluations of Societal-Scale Risks from
  Advanced AI
An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI
Ross Gruetzemacher
Alan Chan
Kevin Frazier
Christy Manning
Stepán Los
...
Clíodhna Ní Ghuidhir
Mark M. Bailey
Daniel Eth
Toby D. Pilditch
Kyle A. Kilian
24
5
0
22 Oct 2023
Frontier AI Regulation: Managing Emerging Risks to Public Safety
Frontier AI Regulation: Managing Emerging Risks to Public Safety
Markus Anderljung
Joslyn Barnhart
Anton Korinek
Jade Leung
Cullen O'Keefe
...
Jonas Schuett
Yonadav Shavit
Divya Siddarth
Robert F. Trager
Kevin J. Wolf
SILM
44
118
0
06 Jul 2023
Model evaluation for extreme risks
Model evaluation for extreme risks
Toby Shevlane
Sebastian Farquhar
Ben Garfinkel
Mary Phuong
Jess Whittlestone
...
Vijay Bolina
Jack Clark
Yoshua Bengio
Paul Christiano
Allan Dafoe
ELM
37
152
0
24 May 2023
Fairness: from the ethical principle to the practice of Machine Learning
  development as an ongoing agreement with stakeholders
Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders
Georgina Curto
F. Comim
FaML
8
1
0
22 Mar 2023
Both eyes open: Vigilant Incentives help Regulatory Markets improve AI
  Safety
Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety
Paolo Bova
A. D. Stefano
H. Anh
20
4
0
06 Mar 2023
Artificial Intelligence and Arms Control
Artificial Intelligence and Arms Control
P. Scharre
Megan Lamberth
6
4
0
22 Oct 2022
Negative Human Rights as a Basis for Long-term AI Safety and Regulation
Negative Human Rights as a Basis for Long-term AI Safety and Regulation
Ondrej Bajgar
Jan Horenovsky
FaML
21
9
0
31 Aug 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
261
4,489
0
23 Jan 2020
1