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

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

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
ArXivPDFHTML

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

38 / 88 papers shown
Title
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
31
11
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
27
42
0
23 Feb 2024
Incentive Compatibility for AI Alignment in Sociotechnical Systems:
  Positions and Prospects
Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects
Zhaowei Zhang
Fengshuo Bai
Mingzhi Wang
Haoyang Ye
Chengdong Ma
Yaodong Yang
19
4
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
17
1
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
16
35
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
24
17
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
23
9
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
34
7
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
8
0
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
21
19
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 subgroups
Christine Herlihy
Kimberly Truong
Alexandra Chouldechova
Miroslav Dudik
22
4
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 Generators
Wiebke Hutiri
Orestis Papakyriakopoulos
Alice Xiang
11
15
0
25 Jan 2024
Beyond Behaviorist Representational Harms: A Plan for Measurement and
  Mitigation
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation
Jennifer Chien
David Danks
31
13
0
25 Jan 2024
Visibility into AI Agents
Visibility into AI Agents
Alan Chan
Carson Ezell
Max Kaufmann
K. Wei
Lewis Hammond
...
Nitarshan Rajkumar
David M. Krueger
Noam Kolt
Lennart Heim
Markus Anderljung
13
29
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
11
4
0
17 Jan 2024
Canvil: Designerly Adaptation for LLM-Powered User Experiences
Canvil: Designerly Adaptation for LLM-Powered User Experiences
K. J. Kevin Feng
Q. V. Liao
Ziang Xiao
Jennifer Wortman Vaughan
Amy X. Zhang
David W. McDonald
26
16
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 Generation
Akshita Jha
Vinodkumar Prabhakaran
Remi Denton
Sarah Laszlo
Shachi Dave
Rida Qadri
Chandan K. Reddy
Sunipa Dev
32
12
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 Applications
Bhaktipriya Radharapu
Kevin Robinson
Lora Aroyo
Preethi Lahoti
10
36
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
19
9
0
09 Nov 2023
Contextual Confidence and Generative AI
Contextual Confidence and Generative AI
Shrey Jain
Zoe Hitzig
Pamela Mishkin
15
5
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 Environment
Kimon Kieslich
Nicholas Diakopoulos
Natali Helberger
6
14
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 objectives
Elizabeth Seger
Noemi Dreksler
Richard Moulange
Emily Dardaman
Jonas Schuett
...
Emma Bluemke
Michael Aird
Patrick Levermore
Julian Hazell
Abhishek Gupta
11
40
0
29 Sep 2023
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated
  Communication
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication
Kowe Kadoma
Marianne Aubin Le Quere
Jenny Fu
Christin Munsch
D. Metaxa
Mor Naaman
12
11
0
20 Sep 2023
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
13
1
0
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-Making
Devansh Saxena
Shion Guha
11
19
0
09 Aug 2023
The Ethics of AI Value Chains
The Ethics of AI Value Chains
Blair Attard-Frost
D. Widder
17
1
0
31 Jul 2023
Beyond the ML Model: Applying Safety Engineering Frameworks to
  Text-to-Image Development
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development
Shalaleh Rismani
Renee Shelby
A. Smart
Renelito Delos Santos
AJung Moon
Negar Rostamzadeh
25
9
0
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
...
Marie-Therese Png
Shubham Singh
A. Strait
Lukas Struppek
Arjun Subramonian
ELM
EGVM
31
101
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
17
17
0
09 Jun 2023
PaLM 2 Technical Report
PaLM 2 Technical Report
Rohan Anil
Andrew M. Dai
Orhan Firat
Melvin Johnson
Dmitry Lepikhin
...
Ce Zheng
Wei Zhou
Denny Zhou
Slav Petrov
Yonghui Wu
ReLM
LRM
51
1,136
0
17 May 2023
Personalisation within bounds: A risk taxonomy and policy framework for
  the alignment of large language models with personalised feedback
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Hannah Rose Kirk
Bertie Vidgen
Paul Röttger
Scott A. Hale
12
97
0
09 Mar 2023
Auditing large language models: a three-layered approach
Auditing large language models: a three-layered approach
Jakob Mokander
Jonas Schuett
Hannah Rose Kirk
Luciano Floridi
AILaw
MLAU
24
193
0
16 Feb 2023
Computers as Bad Social Actors: Dark Patterns and Anti-Patterns in
  Interfaces that Act Socially
Computers as Bad Social Actors: Dark Patterns and Anti-Patterns in Interfaces that Act Socially
Lize Alberts
Ulrik Lyngs
Max Van Kleek
9
17
0
09 Feb 2023
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Upol Ehsan
Q. V. Liao
Samir Passi
Mark O. Riedl
Hal Daumé
22
15
0
12 Nov 2022
From plane crashes to algorithmic harm: applicability of safety
  engineering frameworks for responsible ML
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
Shalaleh Rismani
Renee Shelby
A. Smart
Edgar W. Jatho
Joshua A. Kroll
AJung Moon
Negar Rostamzadeh
27
36
0
06 Oct 2022
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
A Human-Centered Review of the Algorithms used within the U.S. Child
  Welfare System
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System
Devansh Saxena
Karla A. Badillo-Urquiola
Pamela J. Wisniewski
Shion Guha
48
104
0
07 Mar 2020
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
730
0
13 Dec 2018
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