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. 1906.05684
  4. Cited By
Understanding artificial intelligence ethics and safety

Understanding artificial intelligence ethics and safety

11 June 2019
David Leslie
    FaML
    AI4TS
ArXivPDFHTML

Papers citing "Understanding artificial intelligence ethics and safety"

24 / 24 papers shown
Title
AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
Omid Veisi
Sasan Bahrami
Roman Englert
Claudia Müller
123
0
0
25 Apr 2025
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
Yutan Huang
Chetan Arora
Wen Cheng Houng
Tanjila Kanij
Anuradha Madulgalla
John C. Grundy
85
1
0
08 Jan 2025
The Promise and Peril of Artificial Intelligence -- Violet Teaming
  Offers a Balanced Path Forward
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward
A. Titus
Adam Russell
36
1
0
28 Aug 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language
  Models
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
Emilio Ferrara
SILM
36
247
0
07 Apr 2023
The Representational Status of Deep Learning Models
The Representational Status of Deep Learning Models
Eamon Duede
19
0
0
21 Mar 2023
A multidomain relational framework to guide institutional AI research
  and adoption
A multidomain relational framework to guide institutional AI research and adoption
Vince J. Straub
Deborah Morgan
Youmna Hashem
John Francis
Saba Esnaashari
Jonathan Bright
32
8
0
17 Mar 2023
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in
  Healthcare
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare
Rob Procter
P. Tolmie
M. Rouncefield
11
31
0
29 Nov 2022
GRAIMATTER Green Paper: Recommendations for disclosure control of
  trained Machine Learning (ML) models from Trusted Research Environments
  (TREs)
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
E. Jefferson
J. Liley
Maeve Malone
S. Reel
Alba Crespi-Boixader
...
Christian Cole
F. Ritchie
A. Daly
Simon Rogers
Jim Q. Smith
24
7
0
03 Nov 2022
Artificial intelligence in government: Concepts, standards, and a
  unified framework
Artificial intelligence in government: Concepts, standards, and a unified framework
Vince J. Straub
Deborah Morgan
Jonathan Bright
Helen Z. Margetts
AI4TS
32
31
0
31 Oct 2022
Legal Provocations for HCI in the Design and Development of Trustworthy
  Autonomous Systems
Legal Provocations for HCI in the Design and Development of Trustworthy Autonomous Systems
Lachlan D. Urquhart
Glenn McGarry
Andy Crabtree
17
15
0
15 Jun 2022
A Comprehensive Study on Artificial Intelligence Algorithms to Implement
  Safety Using Communication Technologies
A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies
Rafia Inam
Alberto Hata
Vlasjov Prifti
Sara Abbaspour Asadollah
19
2
0
17 May 2022
Counterfactual harm
Counterfactual harm
Jonathan G. Richens
R. Beard
Daniel H. Thompson
29
27
0
27 Apr 2022
Data Justice in Practice: A Guide for Developers
Data Justice in Practice: A Guide for Developers
David Leslie
Michael Katell
Mhairi Aitken
Jatinder Singh
Morgan Briggs
Rosamund Powell
Cami Rincón
A. Perini
Smera Jayadeva
Christopher Burr
SyDa
22
2
0
12 Apr 2022
Automatic detection of glaucoma via fundus imaging and artificial
  intelligence: A review
Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review
Lauren Coan
Bryan M. Williams
V. Adithya
S. Upadhyaya
S. Czanner
R. Venkatesh
C. Willoughby
Kavitha Srinivasan
G. Czanner
21
64
0
12 Apr 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DV
AI4CE
35
119
0
21 Mar 2022
Explainability for identification of vulnerable groups in machine learning models
Inga Strümke
Marija Slavkovik
FaML
33
3
0
01 Mar 2022
On the Limits of Design: What Are the Conceptual Constraints on
  Designing Artificial Intelligence for Social Good?
On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good?
Jakob Mokander
14
0
0
07 Nov 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic
  Opacity
Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic Opacity
James Wright
4
33
0
01 Sep 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
37
6,110
0
22 Oct 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
60
195
0
06 Apr 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,087
0
24 Oct 2016
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
719
0
12 May 2016
1