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Author

Alice Xiang

Observed name: Xiang, Alice
ORCID: 0000-0001-7907-9353
Observed ORCID: 0000-0001-7907-9353
OpenAlex ID: A5035786206
Explainable machine learning in deployment
2020 · Umang Bhatt, Alice Xiang, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 635
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
2022 · Srivastava, Aarohi, Rastogi, Abhinav, et al. · arXiv (Cornell University) · 569
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Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
2021 · Umang Bhatt, Javier Antorán, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 247
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What We Can't Measure, We Can't Understand
2021 · McKane Andrus, Elena Spitzer, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 111
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators
2024 · Wiebke Hutiri, Orestis Papakyriakopoulos, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 52
Machine Learning Explainability for External Stakeholders
2020 · Bhatt, Umang, Andrus, McKane, et al. · arXiv (Cornell University) · 41
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On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes
2021 · Riccardo Fogliato, Alice Xiang, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 40
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On the Legal Compatibility of Fairness Definitions
2019 · Xiang, Alice, Raji, Inioluwa Deborah · arXiv (Cornell University) · 32
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Augmented Datasheets for Speech Datasets and Ethical Decision-Making
2023 · Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 27
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Reconciling Legal and Technical Approaches to Algorithmic Bias
2021 · Alice Xiang · eYLS (Yale Law School) · 27
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
2023 · William Thong, Przemyslaw Joniak, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 26
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"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
2020 · Andrus, McKane, Spitzer, Elena, et al. · arXiv (Cornell University) · 21
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Fair human-centric image dataset for ethical AI benchmarking
2025 · Alice Xiang, Jerone T. A. Andrews, et al. · Nature · 19
Fairness & Privacy in an Age of Generative AI
2024 · Alice Xiang · Science and Technology Law Review · 18
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Affirmative Algorithms: The Legal Grounds for Fairness as Awareness
2020 · Ho, Daniel E., Xiang, Alice · arXiv (Cornell University) · 16
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Considerations for Ethical Speech Recognition Datasets
2023 · Orestis Papakyriakopoulos, Alice Xiang · ACM International Conference on Web Search and Data Mining (WSDM) · 10
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Being 'Seen' vs. 'Mis-Seen': Tensions between Privacy and Fairness in Computer Vision
2022 · Alice Xiang · SSRN Electronic Journal · 10
Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data
2023 · Keziah Naggita, Julienne LaChance, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 8
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Men Also Do Laundry: Multi-Attribute Bias Amplification
2022 · Zhao, Dora, Andrews, Jerone T. A., et al. · arXiv (Cornell University) · 8
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Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
2022 · Rui-Jie Yew, Alice Xiang · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 7
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Promises and Challenges of Causality for Ethical Machine Learning
2022 · Rahmattalabi, Aida, Xiang, Alice · arXiv (Cornell University) · 5
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Assessing the Potential Impact of a Nationwide Class-Based Affirmative Action System
2015 · Alice Xiang, Donald B. Rubin · Statistical Science · 5
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Estimating the likelihood of arrest from police records in presence of unreported crimes
2024 · Riccardo Fogliato, Arun Kumar Kuchibhotla, et al. · The Annals of Applied Statistics · 4
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A View From Somewhere: Human-Centric Face Representations
2023 · Andrews, Jerone T. A., Joniak, Przemyslaw, et al. · arXiv (Cornell University) · 4
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Attrition of Workers with Minoritized Identities on AI Teams
2022 · Jeffrey Brown, Tina Park, et al. · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) · 4
Works count: 39
Citation count: 1,959
H-index: 15
I10-index: 17
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