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Gathering Strength, Gathering Storms: The One Hundred Year Study on
  Artificial Intelligence (AI100) 2021 Study Panel Report

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report

27 October 2022
Michael L. Littman
Ifeoma Ajunwa
G. Berger
Craig Boutilier
Morgan E. Currie
Finale Doshi-Velez
Gillian Hadfield
Michael C. Horowitz
Charles Isbell
H. Kitano
K. Levy
Terah Lyons
Melanie Mitchell
J. Shah
S. Sloman
Shannon Vallor
T. Walsh
    ELM
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Papers citing "Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report"

9 / 9 papers shown
Title
Demystifying the Draft EU Artificial Intelligence Act
Demystifying the Draft EU Artificial Intelligence Act
Michael Veale
Frederik J. Zuiderveen Borgesius
40
345
0
08 Jul 2021
Abstraction and Analogy-Making in Artificial Intelligence
Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell
41
165
0
22 Feb 2021
Participation is not a Design Fix for Machine Learning
Participation is not a Design Fix for Machine Learning
Mona Sloane
Emanuel Moss
O. Awomolo
Laura Forlano
HAI
32
206
0
05 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
321
41,106
0
28 May 2020
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike
  Common Sense
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Yixin Zhu
Tao Gao
Lifeng Fan
Siyuan Huang
Mark Edmonds
...
Chi Zhang
Siyuan Qi
Ying Nian Wu
J. Tenenbaum
Song-Chun Zhu
68
129
0
20 Apr 2020
"The Human Body is a Black Box": Supporting Clinical Decision-Making
  with Deep Learning
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
M. Sendak
M. C. Elish
M. Gao
Joseph D. Futoma
W. Ratliff
M. Nichols
A. Bedoya
S. Balu
Cara O'Brien
HAI
21
168
0
19 Nov 2019
Model Cards for Model Reporting
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
85
1,869
0
05 Oct 2018
A comparative study of fairness-enhancing interventions in machine
  learning
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
FaML
71
639
0
13 Feb 2018
Theoretical Impediments to Machine Learning With Seven Sparks from the
  Causal Revolution
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
CML
28
330
0
11 Jan 2018
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