ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.11095
  4. Cited By
Defining AI in Policy versus Practice

Defining AI in Policy versus Practice

23 December 2019
P. Krafft
Meg Young
Michael A. Katell
Karen Huang
Ghislain Bugingo
ArXivPDFHTML

Papers citing "Defining AI in Policy versus Practice"

14 / 14 papers shown
Title
One Bad NOFO? AI Governance in Federal Grantmaking
One Bad NOFO? AI Governance in Federal Grantmaking
Dan Bateyko
Karen Levy
31
0
0
13 May 2025
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models
Adam Davies
Elisa Nguyen
Michael Simeone
Erik Johnston
Martin Gubri
93
0
0
20 Dec 2024
The Switch, the Ladder, and the Matrix: Models for Classifying AI
  Systems
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
Jakob Mokander
Margi Sheth
David S. Watson
Luciano Floridi
35
6
0
07 Jul 2024
AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI
  Publications
AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publications
Autumn Toney-Wails
C. Schoeberl
James Dunham
41
3
0
14 Mar 2024
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in
  Scrutinizing AI in Court
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin
Niloufar Salehi
ELM
41
2
0
13 Mar 2024
Machine Learning practices and infrastructures
Machine Learning practices and infrastructures
G. Berman
27
3
0
13 Jul 2023
Explainability in AI Policies: A Critical Review of Communications,
  Reports, Regulations, and Standards in the EU, US, and UK
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
L. Nannini
Agathe Balayn
A. Smith
23
37
0
20 Apr 2023
From plane crashes to algorithmic harm: applicability of safety
  engineering frameworks for responsible ML
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
Shalaleh Rismani
Renee Shelby
A. Smart
Edgar W. Jatho
Joshua A. Kroll
AJung Moon
Negar Rostamzadeh
47
36
0
06 Oct 2022
The Fallacy of AI Functionality
The Fallacy of AI Functionality
Inioluwa Deborah Raji
Indra Elizabeth Kumar
Aaron Horowitz
Andrew D. Selbst
34
180
0
20 Jun 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency
  Playbook for Regulatory Compliance
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance
Andrew Bell
O. Nov
Julia Stoyanovich
27
26
0
10 Jun 2022
Understanding Machine Learning Practitioners' Data Documentation
  Perceptions, Needs, Challenges, and Desiderata
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata
A. Heger
Elizabeth B. Marquis
Mihaela Vorvoreanu
Hanna M. Wallach
J. W. Vaughan
16
60
0
06 Jun 2022
Trust in AI and Its Role in the Acceptance of AI Technologies
Trust in AI and Its Role in the Acceptance of AI Technologies
Hyesun Choung
Prabu David
Arun Ross
11
282
0
23 Mar 2022
MAIR: Framework for mining relationships between research articles,
  strategies, and regulations in the field of explainable artificial
  intelligence
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence
Stanisław Giziński
Michal Kuzba
Bartosz Pieliñski
Julian Sienkiewicz
Stanislaw Laniewski
P. Biecek
23
1
0
29 Jul 2021
Becoming the Super Turker: Increasing Wages via a Strategy from High
  Earning Workers
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers
Saiph Savage
Angela Richmond-Fuller
Susumu Saito
Carlos Toxtli
Jeffrey P. Bigham
19
46
0
08 May 2020
1