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Archana Ahlawat

2 papers hereh-index 344 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.HC1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDe-amplifying Bias from Differential Privacy in Language Model Fine-tuning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.HC2024

Minimum Viable Ethics: From Institutionalizing Industry AI Governance to Product Impact

Archana Ahlawat, Amy Winecoff, Jonathan Mayer

Across the technology industry, many companies have expressed their commitments to AI ethics and created dedicated roles responsible for translating high-level ethics principles in…

cs.LG2024★ 1 cited

De-amplifying Bias from Differential Privacy in Language Model Fine-tuning

Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang +3

Fairness and privacy are two important values machine learning (ML) practitioners often seek to operationalize in models. Fairness aims to reduce model bias for social/demographic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.