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Auditing large language models: a three-layered approach

Auditing large language models: a three-layered approach

16 February 2023
Jakob Mokander
Jonas Schuett
Hannah Rose Kirk
Luciano Floridi
    AILaw
    MLAU
ArXivPDFHTML

Papers citing "Auditing large language models: a three-layered approach"

28 / 28 papers shown
Title
Human-AI Governance (HAIG): A Trust-Utility Approach
Human-AI Governance (HAIG): A Trust-Utility Approach
Zeynep Engin
42
0
0
03 May 2025
Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
David Hartmann
José Renato Laranjeira de Pereira
Chiara Streitbörger
Bettina Berendt
86
6
0
20 Feb 2025
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni
Jonathan Colaço-Carr
Yash More
Jackie CK Cheung
G. Farnadi
71
0
0
12 Nov 2024
Thorns and Algorithms: Navigating Generative AI Challenges Inspired by
  Giraffes and Acacias
Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acacias
Waqar Hussain
33
0
0
16 Jul 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Junfeng Jiao
S. Afroogh
Yiming Xu
Connor Phillips
AILaw
55
19
0
14 May 2024
The Impact of Unstated Norms in Bias Analysis of Language Models
The Impact of Unstated Norms in Bias Analysis of Language Models
Farnaz Kohankhaki
D. B. Emerson
David B. Emerson
Laleh Seyyed-Kalantari
Faiza Khan Khattak
45
1
0
04 Apr 2024
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM
  use in HCI research practices
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices
Shivani Kapania
Ruiyi Wang
Toby Jia-Jun Li
Tianshi Li
Hong Shen
26
6
0
28 Mar 2024
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara
F. Breitinger
Mark Scanlon
42
7
0
29 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
13
75
0
25 Jan 2024
Personality Traits in Large Language Models
Personality Traits in Large Language Models
Gregory Serapio-García
Mustafa Safdari
Clément Crepy
Luning Sun
Stephen Fitz
P. Romero
Marwa Abdulhai
Aleksandra Faust
Maja J. Matarić
LM&MA
LLMAG
46
117
0
01 Jul 2023
Assessing Language Model Deployment with Risk Cards
Assessing Language Model Deployment with Risk Cards
Leon Derczynski
Hannah Rose Kirk
Vidhisha Balachandran
Sachin Kumar
Yulia Tsvetkov
M. Leiser
Saif Mohammad
6
41
0
31 Mar 2023
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
218
441
0
23 Aug 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Conformity Assessments and Post-market Monitoring: A Guide to the Role
  of Auditing in the Proposed European AI Regulation
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
Jakob Mokander
M. Axente
F. Casolari
Luciano Floridi
57
83
0
09 Nov 2021
Truthful AI: Developing and governing AI that does not lie
Truthful AI: Developing and governing AI that does not lie
Owain Evans
Owen Cotton-Barratt
Lukas Finnveden
Adam Bales
Avital Balwit
Peter Wills
Luca Righetti
William Saunders
HILM
220
107
0
13 Oct 2021
Challenges in Detoxifying Language Models
Challenges in Detoxifying Language Models
Johannes Welbl
Amelia Glaese
J. Uesato
Sumanth Dathathri
John F. J. Mellor
Lisa Anne Hendricks
Kirsty Anderson
Pushmeet Kohli
Ben Coppin
Po-Sen Huang
LM&MA
242
191
0
15 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
204
1,451
0
02 Sep 2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for
  Benchmarking and Detecting Emoji-based Hate
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
Hannah Rose Kirk
B. Vidgen
Paul Röttger
Tristan Thrush
Scott A. Hale
63
57
0
12 Aug 2021
Understanding the Capabilities, Limitations, and Societal Impact of
  Large Language Models
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin
Miles Brundage
Jack Clark
Deep Ganguli
AILaw
ELM
192
248
0
04 Feb 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
138
136
0
13 Jan 2021
Misspelling Correction with Pre-trained Contextual Language Model
Misspelling Correction with Pre-trained Contextual Language Model
Yifei Hu
X. Jing
Youlim Ko
Julia Taylor Rayz
KELM
24
25
0
08 Jan 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,798
0
14 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
4,424
0
23 Jan 2020
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
204
607
0
03 Sep 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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