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Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study

8 January 2025
Yutan Huang
Chetan Arora
Wen Cheng Houng
Tanjila Kanij
Anuradha Madulgalla
John C. Grundy
ArXivPDFHTML

Papers citing "Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study"

13 / 13 papers shown
Title
Recent Advances in Generative AI and Large Language Models: Current
  Status, Challenges, and Perspectives
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
D. Hagos
Rick Battle
Danda B. Rawat
LM&MA
OffRL
83
25
0
20 Jul 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
74
19
0
08 Jun 2024
Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps
Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps
A. R. Nasab
Maedeh Dashti
Mojtaba Shahin
Mansooreh Zahedi
Hourieh Khalajzadeh
Chetan Arora
Peng Liang
57
4
0
16 Jan 2024
Large Language Model (LLM) Bias Index -- LLMBI
Large Language Model (LLM) Bias Index -- LLMBI
Abiodun Finbarrs Oketunji
Muhammad Anas
Deepthi Saina
46
12
0
22 Dec 2023
Advancements in Generative AI: A Comprehensive Review of GANs, GPT,
  Autoencoders, Diffusion Model, and Transformers
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
Staphord Bengesi
Hoda El-Sayed
Md Kamruzzaman Sarker
Yao Houkpati
John Irungu
T. Oladunni
95
86
0
17 Nov 2023
Ethics of AI: A Systematic Literature Review of Principles and
  Challenges
Ethics of AI: A Systematic Literature Review of Principles and Challenges
A. Khan
Sher Badshah
Peng Liang
Bilal Khan
Muhammad Waseem
Mahmood Niazi
M. Akbar
54
86
0
12 Sep 2021
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
702
41,736
0
28 May 2020
Understanding artificial intelligence ethics and safety
Understanding artificial intelligence ethics and safety
David Leslie
FaML
AI4TS
53
358
0
11 Jun 2019
The Ethics of AI Ethics -- An Evaluation of Guidelines
The Ethics of AI Ethics -- An Evaluation of Guidelines
Thilo Hagendorff
AI4TS
58
1,183
0
28 Feb 2019
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
651
130,942
0
12 Jun 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
230
4,103
0
18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,437
0
17 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.1K
16,931
0
16 Feb 2016
1