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Alice Xiang
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2020 – today
- 2024
- [i19]Wiebke Hutiri, Orestis Papakyriakopoulos, Alice Xiang:
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. CoRR abs/2402.01708 (2024) - 2023
- [c13]Keziah Naggita, Julienne LaChance, Alice Xiang:
Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data. AIES 2023: 520-530 - [c12]Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Theodore Alexander Andrews, Rebecca Bourke, Alice Xiang, Allison Koenecke:
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. FAccT 2023: 881-904 - [c11]William Thong, Przemyslaw Joniak, Alice Xiang:
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color. ICCV 2023: 4880-4890 - [c10]Jerone Theodore Alexander Andrews, Przemyslaw Joniak, Alice Xiang:
A View From Somewhere: Human-Centric Face Representations. ICLR 2023 - [c9]Dora Zhao, Jerone Theodore Alexander Andrews, Alice Xiang:
Men Also Do Laundry: Multi-Attribute Bias Amplification. ICML 2023: 42000-42017 - [c8]Jerone Theodore Alexander Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang:
Ethical Considerations for Responsible Data Curation. NeurIPS 2023 - [c7]Orestis Papakyriakopoulos, Alice Xiang:
Considerations for Ethical Speech Recognition Datasets. WSDM 2023: 1287-1288 - [i18]Jerone T. A. Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Shruti Nagpal, Alice Xiang:
Ethical Considerations for Collecting Human-Centric Image Datasets. CoRR abs/2302.03629 (2023) - [i17]Jerone T. A. Andrews, Przemyslaw Joniak, Alice Xiang:
A View From Somewhere: Human-Centric Face Representations. CoRR abs/2303.17176 (2023) - [i16]Orestis Papakyriakopoulos, Alice Xiang:
Considerations for Ethical Speech Recognition Datasets. CoRR abs/2305.02081 (2023) - [i15]Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, Jerone Theodore Alexander Andrews, Rebecca Bourke, William Thong, Dora Zhao, Alice Xiang, Allison Koenecke:
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. CoRR abs/2305.04672 (2023) - [i14]Keziah Naggita, Julienne LaChance, Alice Xiang:
Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data. CoRR abs/2308.08656 (2023) - [i13]William Thong, Przemyslaw Joniak, Alice Xiang:
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color. CoRR abs/2309.05148 (2023) - 2022
- [c6]Jeffrey Brown, Tina Park, Jiyoo Chang, McKane Andrus, Alice Xiang, Christine Custis:
Attrition of Workers with Minoritized Identities on AI Teams. EAAMO 2022: 19:1-19:9 - [c5]Rui-Jie Yew, Alice Xiang:
Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA. FAccT 2022: 1017-1027 - [i12]Aida Rahmattalabi, Alice Xiang:
Promises and Challenges of Causality for Ethical Machine Learning. CoRR abs/2201.10683 (2022) - [i11]Rui-Jie Yew, Alice Xiang:
Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA. CoRR abs/2205.07299 (2022) - [i10]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.:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i9]Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski:
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. CoRR abs/2207.02726 (2022) - [i8]Dora Zhao, Jerone T. A. Andrews, Alice Xiang:
Men Also Do Laundry: Multi-Attribute Bias Amplification. CoRR abs/2210.11924 (2022) - 2021
- [c4]Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova:
On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. AIES 2021: 100-111 - [c3]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:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES 2021: 401-413 - [c2]McKane Andrus, Elena Spitzer, Jeffrey Brown, Alice Xiang:
What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness. FAccT 2021: 249-260 - [i7]Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke:
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. CoRR abs/2103.14976 (2021) - 2020
- [c1]Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley:
Explainable machine learning in deployment. FAT* 2020: 648-657 - [i6]Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang:
Machine Learning Explainability for External Stakeholders. CoRR abs/2007.05408 (2020) - [i5]McKane Andrus, Elena Spitzer, Jeffrey Brown, Alice Xiang:
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness. CoRR abs/2011.02282 (2020) - [i4]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:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR abs/2011.07586 (2020) - [i3]Daniel E. Ho, Alice Xiang:
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness. CoRR abs/2012.14285 (2020)
2010 – 2019
- 2019
- [i2]Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley:
Explainable Machine Learning in Deployment. CoRR abs/1909.06342 (2019) - [i1]Alice Xiang, Inioluwa Deborah Raji:
On the Legal Compatibility of Fairness Definitions. CoRR abs/1912.00761 (2019)
Coauthor Index
aka: Jerone T. A. Andrews
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last updated on 2024-04-25 01:44 CEST by the dblp team
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