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Harini Suresh · Study
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Author
Harini Suresh
10 works
· latest 2025
· 3 institutions
cluster: provisional
ORCID 0000-0002-9769-4947
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Citations
1,184
Works here
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Most cited in this library
A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle
2021 · 573 citations
A Framework for Understanding Unintended Consequences of Machine Learning
2019 · 226 citations
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle
2021 · 82 citations
How LLM Counselors Violate Ethical Standards in Mental Health Practice: A Practitioner-Informed Framework
2025 · 66 citations
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection
2022 · 65 citations
Works
10 shown
How LLM Counselors Violate Ethical Standards in Mental Health Practice: A Practitioner-Informed Framework
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
·
2025
·
4 authors
·
other
·
Open access
66
citations
"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalism
ACM Conference on Fairness, Accountability, and Transparency (FAccT)
·
2025
·
5 authors
·
other
·
Open access
16
citations
Participation in the age of foundation models
ACM Conference on Fairness, Accountability, and Transparency (FAccT)
·
2024
·
6 authors
·
other
·
Open access
53
citations
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection
ACM Conference on Fairness, Accountability, and Transparency (FAccT)
·
2022
·
9 authors
·
other
·
Open access
65
citations
Tech Worker Organizing for Power and Accountability
ACM Conference on Fairness, Accountability, and Transparency (FAccT)
·
2022
·
4 authors
·
other
·
Open access
32
citations
Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence
Patterns
·
2022
·
8 authors
·
Open access
40
citations
A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle
DSpace@MIT (Massachusetts Institute of Technology)
·
2021
·
2 authors
·
other
·
Open access
573
citations
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle
ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
·
2021
·
2 authors
·
other
·
Open access
82
citations
Understanding Potential Sources of Harm throughout the Machine Learning Life Cycle
·
2021
·
2 authors
·
Open access
31
citations
A Framework for Understanding Unintended Consequences of Machine Learning
·
2019
·
2 authors
226
citations