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Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm
  Reduction
v1v2v3 (latest)

Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction

AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
11 October 2022
Renee Shelby
Shalaleh Rismani
Kathryn Henne
AJung Moon
Negar Rostamzadeh
P. Nicholas
N'Mah Yilla-Akbari
Jess Gallegos
A. Smart
Emilio Garcia
Gurleen Virk
ArXiv (abs)PDFHTML

Papers citing "Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction"

50 / 106 papers shown
Title
Misfitting With AI: How Blind People Verify and Contest AI Errors
Misfitting With AI: How Blind People Verify and Contest AI ErrorsInternational ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2024
Rahaf Alharbi
P. Lor
Jaylin Herskovitz
S. Schoenebeck
Robin Brewer
185
24
0
13 Aug 2024
Supporting Industry Computing Researchers in Assessing, Articulating,
  and Addressing the Potential Negative Societal Impact of Their Work
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work
Wesley Hanwen Deng
Solon Barocas
Jennifer Wortman Vaughan
281
12
0
02 Aug 2024
Co-designing an AI Impact Assessment Report Template with AI
  Practitioners and AI Compliance Experts
Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts
Edyta Bogucka
Marios Constantinides
S. Šćepanović
Daniele Quercia
228
14
0
24 Jul 2024
AI Safety in Generative AI Large Language Models: A Survey
AI Safety in Generative AI Large Language Models: A Survey
Jaymari Chua
Yun Yvonna Li
Shiyi Yang
Chen Wang
Lina Yao
LM&MA
325
35
0
06 Jul 2024
Exploring LGBTQ+ Bias in Generative AI Answers across Different Country
  and Religious Contexts
Exploring LGBTQ+ Bias in Generative AI Answers across Different Country and Religious Contexts
L. Vicsek
Anna Vancsó
Mike Zajko
Judit Takacs
175
0
0
03 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
117
21
0
01 Jul 2024
Leveraging Ontologies to Document Bias in Data
Leveraging Ontologies to Document Bias in Data
Mayra Russo
Maria-Esther Vidal
204
1
0
29 Jun 2024
AI Alignment through Reinforcement Learning from Human Feedback?
  Contradictions and Limitations
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations
Adam Dahlgren Lindstrom
Leila Methnani
Lea Krause
Petter Ericson
Ínigo Martínez de Rituerto de Troya
Dimitri Coelho Mollo
Roel Dobbe
ALM
176
6
0
26 Jun 2024
Data-Centric AI in the Age of Large Language Models
Data-Centric AI in the Age of Large Language Models
Xinyi Xu
Zhaoxuan Wu
Rui Qiao
Arun Verma
Yao Shu
...
Xiaoqiang Lin
Wenyang Hu
Zhongxiang Dai
Pang Wei Koh
Bryan Kian Hsiang Low
ALM
324
4
0
20 Jun 2024
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness
  Benchmark Construction
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction
Virginia K. Felkner
Jennifer A. Thompson
Jonathan May
176
13
0
24 May 2024
Push and Pull: A Framework for Measuring Attentional Agency on Digital Platforms
Push and Pull: A Framework for Measuring Attentional Agency on Digital PlatformsConference on Fairness, Accountability and Transparency (FAccT), 2024
Zachary Wojtowicz
Shrey Jain
Nicholas Vincent
179
0
0
23 May 2024
Simulating Policy Impacts: Developing a Generative Scenario Writing
  Method to Evaluate the Perceived Effects of Regulation
Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of RegulationAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Julia Barnett
Kimon Kieslich
Nicholas Diakopoulos
168
6
0
15 May 2024
Who's in and who's out? A case study of multimodal CLIP-filtering in
  DataComp
Who's in and who's out? A case study of multimodal CLIP-filtering in DataCompConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024
Rachel Hong
William Agnew
Tadayoshi Kohno
Jamie Morgenstern
283
19
0
13 May 2024
The Psychosocial Impacts of Generative AI Harms
The Psychosocial Impacts of Generative AI HarmsAAAI Spring Symposia (AAAI Spring Symp.), 2024
Faye-Marie Vassel
Evan Shieh
Cassidy R. Sugimoto
T. Monroe-White
66
8
0
02 May 2024
"I'm Not Sure, But...": Examining the Impact of Large Language Models'
  Uncertainty Expression on User Reliance and Trust
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim
Q. V. Liao
Mihaela Vorvoreanu
Steph Ballard
Jennifer Wortman Vaughan
258
95
0
01 May 2024
Near to Mid-term Risks and Opportunities of Open-Source Generative AI
Near to Mid-term Risks and Opportunities of Open-Source Generative AI
Francisco Eiras
Aleksandar Petrov
Bertie Vidgen
Christian Schroeder de Witt
Fabio Pizzati
...
Paul Röttger
Juil Sock
Trevor Darrell
Y. Lee
Jakob N. Foerster
275
16
0
25 Apr 2024
Holistic Safety and Responsibility Evaluations of Advanced AI Models
Holistic Safety and Responsibility Evaluations of Advanced AI Models
Laura Weidinger
Joslyn Barnhart
Jenny Brennan
Christina Butterfield
Susie Young
...
Sebastian Farquhar
Lewis Ho
Iason Gabriel
Allan Dafoe
William S. Isaac
ELM
184
16
0
22 Apr 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
211
12
0
21 Apr 2024
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
Evan Shieh
Faye-Marie Vassel
Cassidy R. Sugimoto
T. Monroe-White
165
6
0
11 Apr 2024
GUARD-D-LLM: An LLM-Based Risk Assessment Engine for the Downstream uses
  of LLMs
GUARD-D-LLM: An LLM-Based Risk Assessment Engine for the Downstream uses of LLMs
Sundaraparipurnan Narayanan
Sandeep Vishwakarma
243
3
0
02 Apr 2024
From Representational Harms to Quality-of-Service Harms: A Case Study on
  Llama 2 Safety Safeguards
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
Khaoula Chehbouni
Megha Roshan
Emmanuel Ma
Futian Andrew Wei
Afaf Taik
Jackie CK Cheung
G. Farnadi
239
16
0
20 Mar 2024
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
Mukul Bhutani
Kevin Robinson
Vinodkumar Prabhakaran
Shachi Dave
Sunipa Dev
328
24
0
08 Mar 2024
Farsight: Fostering Responsible AI Awareness During AI Application
  Prototyping
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang
Chinmay Kulkarni
Lauren Wilcox
Michael Terry
Michael A. Madaio
286
70
0
23 Feb 2024
Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems
Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems
Zhaowei Zhang
Fengshuo Bai
Mingzhi Wang
Haoyang Ye
Chengdong Ma
Yaodong Yang
335
6
0
20 Feb 2024
Materiality and Risk in the Age of Pervasive AI Sensors
Materiality and Risk in the Age of Pervasive AI Sensors
Matthew P. Stewart
Emanuel Moss
Pete Warden
Brian Plancher
Susan Kennedy
Mona Sloane
Vijay Janapa Reddi
196
4
0
17 Feb 2024
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Thilo Hagendorff
221
78
0
13 Feb 2024
Generative Echo Chamber? Effects of LLM-Powered Search Systems on
  Diverse Information Seeking
Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking
Nikhil Sharma
Q. V. Liao
Ziang Xiao
143
22
0
08 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
191
15
0
08 Feb 2024
Harm Amplification in Text-to-Image Models
Harm Amplification in Text-to-Image Models
Susan Hao
Renee Shelby
Yuchi Liu
Hansa Srinivasan
Mukul Bhutani
Burcu Karagol Ayan
Ryan Poplin
Shivani Poddar
Sarah Laszlo
191
12
0
01 Feb 2024
Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact
  Assessment
Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact Assessment
Mowafak Allaham
Nicholas Diakopoulos
ELM
134
1
0
31 Jan 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
191
29
0
30 Jan 2024
A structured regression approach for evaluating model performance across
  intersectional subgroups
A structured regression approach for evaluating model performance across intersectional subgroupsConference on Fairness, Accountability and Transparency (FAccT), 2024
Christine Herlihy
Kimberly Truong
Alexandra Chouldechova
Miroslav Dudik
239
6
0
26 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
211
40
0
25 Jan 2024
Beyond Behaviorist Representational Harms: A Plan for Measurement and
  Mitigation
Beyond Behaviorist Representational Harms: A Plan for Measurement and MitigationConference on Fairness, Accountability and Transparency (FAccT), 2024
Jennifer Chien
David Danks
229
29
0
25 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
710
68
0
23 Jan 2024
Should agentic conversational AI change how we think about ethics?
  Characterising an interactional ethics centred on respect
Should agentic conversational AI change how we think about ethics? Characterising an interactional ethics centred on respect
Lize Alberts
Geoff Keeling
Amanda McCroskery
200
8
0
17 Jan 2024
Canvil: Designerly Adaptation for LLM-Powered User Experiences
Canvil: Designerly Adaptation for LLM-Powered User ExperiencesInternational Conference on Human Factors in Computing Systems (CHI), 2024
K. J. Kevin Feng
Q. V. Liao
Ziang Xiao
Jennifer Wortman Vaughan
Amy X. Zhang
David W. McDonald
159
22
0
17 Jan 2024
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image
  Generation
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Akshita Jha
Vinodkumar Prabhakaran
Remi Denton
Sarah Laszlo
Shachi Dave
Rida Qadri
Chandan K. Reddy
Sunipa Dev
310
25
0
12 Jan 2024
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New
  LLM-powered Applications
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered ApplicationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Bhaktipriya Radharapu
Kevin Robinson
Lora Aroyo
Preethi Lahoti
267
56
0
14 Nov 2023
GRASP: A Disagreement Analysis Framework to Assess Group Associations in
  Perspectives
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
Vinodkumar Prabhakaran
Christopher Homan
Lora Aroyo
Aida Mostafazadeh Davani
Alicia Parrish
Alex S. Taylor
Mark Díaz
Ding Wang
Greg Serapio-García
230
16
0
09 Nov 2023
Contextual Confidence and Generative AI
Contextual Confidence and Generative AI
Shrey Jain
Zoe Hitzig
Pamela Mishkin
251
4
0
02 Nov 2023
Anticipating Impacts: Using Large-Scale Scenario Writing to Explore
  Diverse Implications of Generative AI in the News Environment
Anticipating Impacts: Using Large-Scale Scenario Writing to Explore Diverse Implications of Generative AI in the News EnvironmentAI and Ethics (AE), 2023
Kimon Kieslich
Nicholas Diakopoulos
Natali Helberger
200
26
0
10 Oct 2023
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks,
  benefits, and alternative methods for pursuing open-source objectives
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectivesSocial Science Research Network (SSRN), 2023
Elizabeth Seger
Noemi Dreksler
Richard Moulange
Emily Dardaman
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Emma Bluemke
Michael Aird
Patrick Levermore
Julian Hazell
Abhishek Gupta
166
55
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The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated
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The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated CommunicationInternational Conference on Human Factors in Computing Systems (CHI), 2023
Kowe Kadoma
Marianne Aubin Le Quere
Jenny Fu
Christin Munsch
D. Metaxa
Mor Naaman
298
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Are You Worthy of My Trust?: A Socioethical Perspective on the Impacts
  of Trustworthy AI Systems on the Environment and Human Society
Are You Worthy of My Trust?: A Socioethical Perspective on the Impacts of Trustworthy AI Systems on the Environment and Human Society
Jamell Dacon
SILM
186
2
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18 Sep 2023
Algorithmic Harms in Child Welfare: Uncertainties in Practice,
  Organization, and Street-level Decision-Making
Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-MakingACM Journal on Responsible Computing (JRC), 2023
Devansh Saxena
Shion Guha
163
27
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The Ethics of AI Value Chains
The Ethics of AI Value ChainsBig Data & Society (BDS), 2023
Blair Attard-Frost
D. Widder
280
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Beyond the ML Model: Applying Safety Engineering Frameworks to
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Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image DevelopmentAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Shalaleh Rismani
Renee Shelby
A. Smart
Renelito Delos Santos
AJung Moon
Negar Rostamzadeh
208
13
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19 Jul 2023
Evaluating the Social Impact of Generative AI Systems in Systems and
  Society
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Irene Solaiman
Zeerak Talat
William Agnew
Lama Ahmad
Dylan K. Baker
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Marie-Therese Png
Shubham Singh
A. Strait
Lukas Struppek
Arjun Subramonian
ELMEGVM
423
144
0
09 Jun 2023
Safety and Fairness for Content Moderation in Generative Models
Safety and Fairness for Content Moderation in Generative Models
Susan Hao
Piyush Kumar
Sarah Laszlo
Shivani Poddar
Bhaktipriya Radharapu
Renee Shelby
EGVM
139
27
0
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