Alice Xiang

According to our database, Alice Xiang authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators.

Wiebke Hutiri, Orestis Papakyriakopoulos, Alice Xiang

CoRR, 2024

2023

Ethical Considerations for Collecting Human-Centric Image Datasets.

Jerone T. A. Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Shruti Nagpal, Alice Xiang

CoRR, 2023

Considerations for Ethical Speech Recognition Datasets.

Orestis Papakyriakopoulos, Alice Xiang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Ethical Considerations for Responsible Data Curation.

Jerone Theodore Alexander Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Men Also Do Laundry: Multi-Attribute Bias Amplification.

Dora Zhao, Jerone Theodore Alexander Andrews, Alice Xiang

Proceedings of the International Conference on Machine Learning, 2023

A View From Somewhere: Human-Centric Face Representations.

Jerone Theodore Alexander Andrews, Przemyslaw Joniak, Alice Xiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color.

William Thong, Przemyslaw Joniak, Alice Xiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Augmented Datasheets for Speech Datasets and Ethical Decision-Making.

Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Theodore Alexander Andrews, Rebecca Bourke, Alice Xiang, Allison Koenecke

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data.

Keziah Naggita, Julienne LaChance, Alice Xiang

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.

Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski

CoRR, 2022

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.

CoRR, 2022

Promises and Challenges of Causality for Ethical Machine Learning.

Aida Rahmattalabi, Alice Xiang

CoRR, 2022

Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA.

Rui-Jie Yew, Alice Xiang

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Attrition of Workers with Minoritized Identities on AI Teams.

Jeffrey Brown, Tina Park, Jiyoo Chang, McKane Andrus, Alice Xiang, Christine Custis

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.

Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke

CoRR, 2021

What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness.

McKane Andrus, Elena Spitzer, Jeffrey Brown, Alice Xiang

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.

Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.

Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Affirmative Algorithms: The Legal Grounds for Fairness as Awareness.

Daniel E. Ho, Alice Xiang

CoRR, 2020

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.

Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang

CoRR, 2020

Machine Learning Explainability for External Stakeholders.

Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang

CoRR, 2020

Explainable machine learning in deployment.

Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

On the Legal Compatibility of Fairness Definitions.

Alice Xiang, Inioluwa Deborah Raji

CoRR, 2019