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The Fallacy of AI Functionality
v1v2 (latest)

The Fallacy of AI Functionality

Conference on Fairness, Accountability and Transparency (FAccT), 2022
20 June 2022
Inioluwa Deborah Raji
Indra Elizabeth Kumar
Aaron Horowitz
Andrew D. Selbst
ArXiv (abs)PDFHTMLGithub

Papers citing "The Fallacy of AI Functionality"

50 / 74 papers shown
The Ethics of Generative AI
The Ethics of Generative AI
Michael Klenk
43
0
0
04 Dec 2025
Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
Mengtian Guo
David Gotz
Yue Wang
175
0
0
29 Oct 2025
Floating-Point Neural Network Verification at the Software Level
Floating-Point Neural Network Verification at the Software Level
Edoardo Manino
B. Farias
R. Menezes
F. Shmarov
Lucas C. Cordeiro
153
1
0
27 Oct 2025
Towards Meaningful Transparency in Civic AI Systems
Towards Meaningful Transparency in Civic AI Systems
Dave Murray-Rust
Kars Alfrink
Cristina Zaga
175
1
0
09 Oct 2025
Longitudinal Monitoring of LLM Content Moderation of Social Issues
Longitudinal Monitoring of LLM Content Moderation of Social Issues
Yunlang Dai
Emma Lurie
Danaé Metaxa
Sorelle A. Friedler
134
1
0
24 Sep 2025
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
Ainhize Barrainkua
Giovanni De Toni
Jose A. Lozano
Novi Quadrianto
FaML
518
0
0
04 Sep 2025
What Does 'Human-Centred AI' Mean?
What Does 'Human-Centred AI' Mean?
Olivia Guest
205
1
0
26 Jul 2025
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
Luke M. Guerdan
Devansh Saxena
Stevie Chancellor
Zhiwei Steven Wu
Kenneth Holstein
252
1
0
03 Jul 2025
Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure
Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure
Timothy Dubber
Seth Lazar
211
1
0
12 Jun 2025
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
Katelyn Mei
A. S. G. Choi
Hilke Schellmann
Mona Sloane
Allison Koenecke
299
2
0
10 Jun 2025
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
Reva Schwartz
Rumman Chowdhury
Akash Kundu
Heather Frase
Marzieh Fadaee
...
Andrew Thompson
Maya Carlyle
Qinghua Lu
Matthew Holmes
Theodora Skeadas
470
13
0
24 May 2025
One Bad NOFO? AI Governance in Federal Grantmaking
One Bad NOFO? AI Governance in Federal GrantmakingConference on Fairness, Accountability and Transparency (FAccT), 2025
Dan Bateyko
Karen Levy
361
0
0
13 May 2025
Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical IncidentsInternational Journal of Human-Computer Interaction (IJHCI), 2025
Hilda Hadan
Reza Hadi Mogavi
Leah Zhang-Kennedy
Lennart E. Nacke
135
0
0
28 Mar 2025
In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI
In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI
Shayne Longpre
Kevin Klyman
Ruth E. Appel
Sayash Kapoor
Rishi Bommasani
...
Victoria Westerhoff
Yacine Jernite
Rumman Chowdhury
Percy Liang
Arvind Narayanan
ELM
488
10
0
21 Mar 2025
Toward an Evaluation Science for Generative AI Systems
Toward an Evaluation Science for Generative AI Systems
Laura Weidinger
Deb Raji
Hanna M. Wallach
Margaret Mitchell
Angelina Wang
Olawale Salaudeen
Rishi Bommasani
Sayash Kapoor
Deep Ganguli
Sanmi Koyejo
EGVMELM
453
37
0
07 Mar 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
AI Mismatches: Identifying Potential Algorithmic Harms Before AI DevelopmentInternational Conference on Human Factors in Computing Systems (CHI), 2025
Devansh Saxena
Ji-Youn Jung
Jodi Forlizzi
Kenneth Holstein
John Zimmerman
467
15
0
25 Feb 2025
Authenticated Delegation and Authorized AI Agents
Authenticated Delegation and Authorized AI Agents
Tobin South
Samuele Marro
Thomas Hardjono
Robert Mahari
Cedric Deslandes Whitney
Dazza Greenwood
Alan Chan
Alex Pentland
481
34
0
17 Jan 2025
Lessons From Red Teaming 100 Generative AI Products
Lessons From Red Teaming 100 Generative AI Products
Blake Bullwinkel
Amanda Minnich
Shiven Chawla
Gary Lopez
Martin Pouliot
...
Pete Bryan
Ram Shankar Siva Kumar
Yonatan Zunger
Chang Kawaguchi
Mark Russinovich
AAMLVLM
404
23
0
13 Jan 2025
Can Artificial Intelligence Embody Moral Values?
Can Artificial Intelligence Embody Moral Values?AI and Ethics (AI & Ethics), 2024
T. Swoboda
Lode Lauwaert
143
4
0
22 Aug 2024
Auditing of AI: Legal, Ethical and Technical Approaches
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mokander
341
88
0
07 Jul 2024
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and
  Automation Harms
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
Gavin Abercrombie
Djalel Benbouzid
Paolo Giudici
Delaram Golpayegani
Julio Hernandez
...
Ushnish Sengupta
Arthit Suriyawongful
Ruby Thelot
Sofia Vei
Laura Waltersdorfer
198
28
0
01 Jul 2024
Leveraging Ontologies to Document Bias in Data
Leveraging Ontologies to Document Bias in Data
Mayra Russo
Maria-Esther Vidal
266
2
0
29 Jun 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
  Data Selection
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
Saachi Jain
Kimia Hamidieh
Kristian Georgiev
Andrew Ilyas
Marzyeh Ghassemi
Aleksander Madry
268
5
0
24 Jun 2024
IDs for AI Systems
IDs for AI Systems
Alan Chan
Noam Kolt
Peter Wills
Usman Anwar
Christian Schroeder de Witt
Nitarshan Rajkumar
Lewis Hammond
David M. Krueger
Lennart Heim
Markus Anderljung
387
16
0
17 Jun 2024
Ollabench: Evaluating LLMs' Reasoning for Human-centric Interdependent
  Cybersecurity
Ollabench: Evaluating LLMs' Reasoning for Human-centric Interdependent Cybersecurity
Tam n. Nguyen
ELM
259
5
0
11 Jun 2024
Hallucination-Free? Assessing the Reliability of Leading AI Legal
  Research Tools
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Varun Magesh
Faiz Surani
Matthew Dahl
Mirac Suzgun
Christopher D. Manning
Mark A. Lemley
HILMELMAILaw
249
251
0
30 May 2024
Lessons from the Trenches on Reproducible Evaluation of Language Models
Lessons from the Trenches on Reproducible Evaluation of Language Models
Stella Biderman
Hailey Schoelkopf
Lintang Sutawika
Leo Gao
J. Tow
...
Xiangru Tang
Kevin A. Wang
Genta Indra Winata
Franccois Yvon
Andy Zou
ELMALM
479
130
3
23 May 2024
Unraveling overoptimism and publication bias in ML-driven science
Unraveling overoptimism and publication bias in ML-driven sciencePatterns (Patterns), 2024
Pouria Saidi
Gautam Dasarathy
Visar Berisha
336
11
0
23 May 2024
Studying Up Public Sector AI: How Networks of Power Relations Shape
  Agency Decisions Around AI Design and Use
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
Anna Kawakami
Amanda Coston
Hoda Heidari
Kenneth Holstein
Haiyi Zhu
364
16
0
21 May 2024
What is it for a Machine Learning Model to Have a Capability?
What is it for a Machine Learning Model to Have a Capability?British Journal for the Philosophy of Science (BJPS), 2024
Jacqueline Harding
Nathaniel Sharadin
ELM
292
12
0
14 May 2024
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment
Nari Johnson
Sanika Moharana
Christina Harrington
Nazanin Andalibi
Hoda Heidari
Motahhare Eslami
341
16
0
21 Apr 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
427
4
0
19 Apr 2024
The Necessity of AI Audit Standards Boards
The Necessity of AI Audit Standards Boards
David Manheim
Sammy Martin
Mark Bailey
Mikhail Samin
Ross Greutzmacher
331
26
0
11 Apr 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support
  Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
Anna Kawakami
Amanda Coston
Haiyi Zhu
Hoda Heidari
Kenneth Holstein
267
40
0
29 Feb 2024
Beyond Predictive Algorithms in Child Welfare
Beyond Predictive Algorithms in Child Welfare
Erin Moon
Devansh Saxena
Tegan Maharaj
Shion Guha
239
3
0
26 Feb 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in
  the Intensive Care Unit
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit
Nur Yildirim
Susanna Zlotnikov
Deniz Sayar
Jeremy M. Kahn
L. Bukowski
...
Venkatesh Sivaraman
Adam Perer
Sarah Preum
James McCann
John Zimmerman
344
24
0
21 Feb 2024
Towards Equitable Agile Research and Development of AI and Robotics
Towards Equitable Agile Research and Development of AI and Robotics
Rumaisa Azeem
Julia Schuller
Severin Kacianka
198
3
0
13 Feb 2024
Are We Asking the Right Questions?: Designing for Community
  Stakeholders' Interactions with AI in Policing
Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing
Md. Romael Haque
Devansh Saxena
Katherine Weathington
Joseph Chudzik
Shion Guha
300
26
0
08 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps
  Towards Effectiveness Evaluations
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations
G. Berman
Nitesh Goyal
Michael A. Madaio
ELM
307
35
0
30 Jan 2024
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech
  Generators
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech GeneratorsConference on Fairness, Accountability and Transparency (FAccT), 2024
Wiebke Hutiri
Orestis Papakyriakopoulos
Alice Xiang
360
47
0
25 Jan 2024
Information That Matters: Exploring Information Needs of People Affected
  by Algorithmic Decisions
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
Timothée Schmude
Laura M. Koesten
Torsten Moller
Sebastian Tschiatschek
275
8
0
24 Jan 2024
A Human-Centered Review of Algorithms in Homelessness Research
A Human-Centered Review of Algorithms in Homelessness ResearchInternational Conference on Human Factors in Computing Systems (CHI), 2024
Erin Moon
Shion Guha
335
16
0
24 Jan 2024
Visibility into AI Agents
Visibility into AI AgentsConference on Fairness, Accountability and Transparency (FAccT), 2024
Alan Chan
Carson Ezell
Max Kaufmann
K. Wei
Lewis Hammond
...
Nitarshan Rajkumar
David M. Krueger
Noam Kolt
Lennart Heim
Markus Anderljung
906
98
0
23 Jan 2024
Diffusion Models for Generative Artificial Intelligence: An Introduction
  for Applied Mathematicians
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians
Catherine F. Higham
Des J. Higham
P. Grindrod
DiffMVLM
281
6
0
21 Dec 2023
Evaluating and Mitigating Discrimination in Language Model Decisions
Evaluating and Mitigating Discrimination in Language Model Decisions
Alex Tamkin
Amanda Askell
Liane Lovitt
Esin Durmus
Nicholas Joseph
Shauna Kravec
Karina Nguyen
Jared Kaplan
Deep Ganguli
417
116
0
06 Dec 2023
Responsible AI Research Needs Impact Statements Too
Responsible AI Research Needs Impact Statements Too
Alexandra Olteanu
Michael Ekstrand
Carlos Castillo
Jina Suh
311
12
0
20 Nov 2023
"One-Size-Fits-All"? Examining Expectations around What Constitute
  "Fair" or "Good" NLG System Behaviors
"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System BehaviorsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Li Lucy
Su Lin Blodgett
Milad Shokouhi
Hanna M. Wallach
Alexandra Olteanu
342
13
0
23 Oct 2023
An International Consortium for Evaluations of Societal-Scale Risks from
  Advanced AI
An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI
Ross Gruetzemacher
Alan Chan
Kevin Frazier
Christy Manning
Stepán Los
...
Clíodhna Ní Ghuidhir
Mark M. Bailey
Daniel Eth
Toby D. Pilditch
Kyle A. Kilian
346
8
0
22 Oct 2023
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy
  Risks
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy RisksInternational Conference on Human Factors in Computing Systems (CHI), 2023
Hao-Ping Lee
Yu-Ju Yang
Thomas Serban Von Davier
Jodi Forlizzi
Sauvik Das
305
113
0
11 Oct 2023
The AI Incident Database as an Educational Tool to Raise Awareness of AI
  Harms: A Classroom Exploration of Efficacy, Limitations, & Future
  Improvements
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future ImprovementsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Michael Feffer
Nikolas Martelaro
Hoda Heidari
226
32
0
10 Oct 2023
12
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