Alice Xiang
Orcid: 0000-0001-7907-9353
According to our database1,
Alice Xiang authored at least 35 papers
between 2019 and 2026.
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Bibliography
2026
Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.
CoRR, February, 2026
Treading the Transparency Tightrope: A Taxonomy of Risks and Benefits of Foundation Model Data Transparency for Transparency Advocates.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
2025
Attribution-by-design: Ensuring Inference-Time Provenance in Generative Music Systems.
CoRR, October, 2025
TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation.
CoRR, May, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Responsibly Training Foundation Models: Actualizing Ethical Principles for Curating Large-Scale Training Datasets in the Era of Massive AI Models.
Proceedings of the Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing, 2025
2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res., 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
2022
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users.
CoRR, 2022
Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022
2021
CoRR, 2021
What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
CoRR, 2020
Proceedings of the FAT* '20: Conference on Fairness, 2020
2019