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Democratising AI: Multiple Meanings, Goals, and Methods
v1v2v3 (latest)

Democratising AI: Multiple Meanings, Goals, and Methods

AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
22 March 2023
Elizabeth Seger
Aviv Ovadya
Ben Garfinkel
Divya Siddarth
Allan Dafoe
ArXiv (abs)PDFHTML

Papers citing "Democratising AI: Multiple Meanings, Goals, and Methods"

10 / 10 papers shown
Title
Misalignment or misuse? The AGI alignment tradeoff
Misalignment or misuse? The AGI alignment tradeoffPhilosophical Studies (Philos. Stud.), 2025
Max Hellrigel-Holderbaum
Leonard Dung
234
2
0
04 Jun 2025
A Research Agenda for Usability and Generalisation in Reinforcement Learning
A Research Agenda for Usability and Generalisation in Reinforcement Learning
Dennis J. N. J. Soemers
Spyridon Samothrakis
Kurt Driessens
M. Winands
OffRL
342
1
0
22 Dec 2024
Public Domain 12M: A Highly Aesthetic Image-Text Dataset with Novel
  Governance Mechanisms
Public Domain 12M: A Highly Aesthetic Image-Text Dataset with Novel Governance Mechanisms
Jordan Meyer
Nick Padgett
Cullen Miller
Laura Exline
182
12
0
30 Oct 2024
Building Better Datasets: Seven Recommendations for Responsible Design
  from Dataset Creators
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators
Will Orr
Kate Crawford
180
7
0
30 Aug 2024
Acceptable Use Policies for Foundation Models
Acceptable Use Policies for Foundation ModelsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Kevin Klyman
231
22
0
29 Aug 2024
Visibility into AI Agents
Visibility into AI AgentsConference on Fairness, Accountability and Transparency (FAccT), 2024
Alan Chan
Carson Ezell
Max Kaufmann
K. Wei
Lewis Hammond
...
Nitarshan Rajkumar
David M. Krueger
Noam Kolt
Lennart Heim
Markus Anderljung
698
68
0
23 Jan 2024
Hazards from Increasingly Accessible Fine-Tuning of Downloadable
  Foundation Models
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models
Alan Chan
Ben Bucknall
Herbie Bradley
David M. Krueger
212
7
0
22 Dec 2023
Anticipating Impacts: Using Large-Scale Scenario Writing to Explore
  Diverse Implications of Generative AI in the News Environment
Anticipating Impacts: Using Large-Scale Scenario Writing to Explore Diverse Implications of Generative AI in the News EnvironmentAI and Ethics (AE), 2023
Kimon Kieslich
Nicholas Diakopoulos
Natali Helberger
188
26
0
10 Oct 2023
Going public: the role of public participation approaches in commercial
  AI labs
Going public: the role of public participation approaches in commercial AI labsConference on Fairness, Accountability and Transparency (FAccT), 2023
Lara Groves
Aidan Peppin
A. Strait
Jenny Brennan
150
32
0
16 Jun 2023
Applying Standards to Advance Upstream & Downstream Ethics in Large
  Language Models
Applying Standards to Advance Upstream & Downstream Ethics in Large Language Models
Jose Berengueres
Marybeth Sandell
137
0
0
06 Jun 2023
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