Emily Black
Assistant Professor
Studies algorithmic fairness and anti-discrimination law for machine learning, including model multiplicity and less discriminatory algorithms.
Emily Black's lab at NYU works on trustworthy & safe ML. 11 papers since 2023, 2 at top venues, mostly FAccT and EMNLP. 2 PhD students and 1 master's student. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 18%
- PhD students
- 2
- MS students
- 1
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 2
- 2 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOtherVenues: FAccT, EMNLP, ICLR
Research focuspaper titles that use each topic's words
- Trustworthy & safe ML3 papers
- algorithmic2 papers
- algorithmic fairness1 paper
- studies algorithmic0 papers
- law0 papers
Paper list
From the lab homepage.
20264 papers
- ACM Symposium on Computer Science and LawAlgorithmic UDAP (opens in a new tab)
- COLMAttribution Bias in Large Language Models (opens in a new tab)
- FAccTResume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows (opens in a new tab)
- FAccTThe Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice (opens in a new tab)
20254 papers
- EAAMO, 🏆 Best Paper Honorable MentionBe Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set (opens in a new tab)
- ICLR (T1)Generative Monoculture in Large Language Models (opens in a new tab)
- EMNLP (T1)Multilingual Prompting for Improving LLM Generation Diversity (opens in a new tab)
- FAccTTowards Effective Discrimination Testing for Generative AI (opens in a new tab)
20242 papers
- FAccTD-hacking (opens in a new tab)
- Georgetown Law JournalLess Discriminatory Algorithms (opens in a new tab)
Where alumni went4 listed
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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