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Democratising AI: Multiple Meanings, Goals, and Methods

Democratising AI: Multiple Meanings, Goals, and Methods

22 March 2023
Elizabeth Seger
Aviv Ovadya
Ben Garfinkel
Divya Siddarth
Allan Dafoe
ArXivPDFHTML

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

24 / 24 papers shown
Title
Opening the Scope of Openness in AI
Opening the Scope of Openness in AI
Tamara Paris
AJung Moon
Jin Guo
31
0
0
09 May 2025
Environment Descriptions for Usability and Generalisation in
  Reinforcement Learning
Environment Descriptions for Usability and Generalisation in Reinforcement Learning
Dennis J. N. J. Soemers
Spyridon Samothrakis
Kurt Driessens
M. Winands
OffRL
85
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
31
4
0
30 Oct 2024
Why Companies "Democratise" Artificial Intelligence: The Case of Open
  Source Software Donations
Why Companies "Democratise" Artificial Intelligence: The Case of Open Source Software Donations
Cailean Osborne
VLM
23
5
0
26 Sep 2024
Democratising Artificial Intelligence for Pandemic Preparedness and
  Global Governance in Latin American and Caribbean Countries
Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries
Andre de Carvalho
R. Bonidia
Jude Dzevela Kong
Mariana Dauhajre
C. Struchiner
...
Edian F. Franco
Cesar Ugarte-Gil
Patricia Espinoza-Lopez
Gabriel Carrasco-Escobar
Ulisses Rocha
62
0
0
21 Sep 2024
Towards Safe Multilingual Frontier AI
Towards Safe Multilingual Frontier AI
Artūrs Kanepajs
Vladimir Ivanov
Richard Moulange
31
1
0
06 Sep 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
46
3
0
30 Aug 2024
Acceptable Use Policies for Foundation Models
Acceptable Use Policies for Foundation Models
Kevin Klyman
31
14
0
29 Aug 2024
AccessShare: Co-designing Data Access and Sharing with Blind People
AccessShare: Co-designing Data Access and Sharing with Blind People
Rie Kamikubo
Farnaz Zamiri Zeraati
Kyungjun Lee
Hernisa Kacorri
48
1
0
27 Jul 2024
The Rise of Artificial Intelligence in Educational Measurement:
  Opportunities and Ethical Challenges
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Okan Bulut
Maggie Beiting-Parrish
J. Casabianca
Sharon C. Slater
Hong Jiao
...
S. Yildirim-Erbasli
Tarid Wongvorachan
Joyce Xinle Liu
Bin Tan
Polina Morilova
40
10
0
27 Jun 2024
Understanding "Democratization" in NLP and ML Research
Understanding "Democratization" in NLP and ML Research
Arjun Subramonian
Vagrant Gautam
Dietrich Klakow
Zeerak Talat
23
1
0
17 Jun 2024
The AI Community Building the Future? A Quantitative Analysis of
  Development Activity on Hugging Face Hub
The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
Cailean Osborne
Jennifer Ding
Hannah Rose Kirk
25
41
0
20 May 2024
Speech Translation with Speech Foundation Models and Large Language
  Models: What is There and What is Missing?
Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?
Marco Gaido
Sara Papi
Matteo Negri
L. Bentivogli
46
13
0
19 Feb 2024
Visibility into AI Agents
Visibility into AI Agents
Alan Chan
Carson Ezell
Max Kaufmann
K. Wei
Lewis Hammond
...
Nitarshan Rajkumar
David M. Krueger
Noam Kolt
Lennart Heim
Markus Anderljung
20
32
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
14
6
0
22 Dec 2023
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
40
17
0
15 Nov 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 Environment
Kimon Kieslich
Nicholas Diakopoulos
Natali Helberger
30
15
0
10 Oct 2023
The Participatory Turn in AI Design: Theoretical Foundations and the
  Current State of Practice
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
Fernando Delgado
Stephen Yang
Michael A. Madaio
Qian Yang
76
100
0
02 Oct 2023
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks,
  benefits, and alternative methods for pursuing open-source objectives
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Elizabeth Seger
Noemi Dreksler
Richard Moulange
Emily Dardaman
Jonas Schuett
...
Emma Bluemke
Michael Aird
Patrick Levermore
Julian Hazell
Abhishek Gupta
20
40
0
29 Sep 2023
Overview of AuTexTification at IberLEF 2023: Detection and Attribution
  of Machine-Generated Text in Multiple Domains
Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains
A. Sarvazyan
José Ángel González
Marc Franco-Salvador
Francisco Rangel
Berta Chulvi
Paolo Rosso
DeLMO
38
60
0
20 Sep 2023
Going public: the role of public participation approaches in commercial
  AI labs
Going public: the role of public participation approaches in commercial AI labs
Lara Groves
Aidan Peppin
A. Strait
Jenny Brennan
23
26
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
27
0
0
06 Jun 2023
Exploring the Relevance of Data Privacy-Enhancing Technologies for AI
  Governance Use Cases
Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases
Emma Bluemke
Tantum Collins
Ben Garfinkel
Andrew Trask
19
10
0
15 Mar 2023
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant
  Spatiotemporal Tokens
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
Sun-Kyoo Hwang
Jaehong Yoon
Youngwan Lee
Sung Ju Hwang
31
6
0
19 Nov 2022
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