Xiang, Alice
- Explainable Machine Learning in Deployment
2019/09/13 by Bhatt, Umang, Xiang, Alice, Sharma, Shubham +7 · 16 citations
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
2020/11/15 by Umang Bhatt, Javier Antorán, Bhatt, Umang +26 · 17 citations
Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning
- "What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
2020/10/30 by Andrus, McKane, Spitzer, Elena, Brown, Jeffrey +1 · 6 citations
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Position: Measure Dataset Diversity, Don't Just Claim It
2024/07/11 by Dora Zhao, Jerone T. A. Andrews, Zhao, Dora +5 · 1 voice · 5 citations
Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #Data Analysis with R #cs.CY #cs.LG
- Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
2023/09/10 by William Thong, Thong, William, Przemyslaw Joniak +3 · 4 citations
Psychology · #Computer Vision and Pattern Recognition (cs.CV) #Evolutionary Psychology and Human Behavior #FOS: Computer and information sciences
- Men Also Do Laundry: Multi-Attribute Bias Amplification
2022/10/21 by Zhao, Dora, Andrews, Jerone T. A., Xiang, Alice · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Ethical Considerations for Responsible Data Curation
2023/02/07 by Andrews, Jerone T. A., Zhao, Dora, Thong, William +3 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
2024/07/04 by Yusuke Hirota, Jerone T. A. Andrew, Hirota, Yusuke +11 · 3 citations
Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Qualitative Comparative Analysis Research
- On the Legal Compatibility of Fairness Definitions
2019/11/25 by Alice Xiang, Xiang, Alice, Inioluwa Deborah Raji +1 · 2 citations
Social Sciences · Neuroscience · #Ethics and Social Impacts of AI #Free Will and Agency #Neuroethics, Human Enhancement, Biomedical Innovations
- Machine Learning Explainability for External Stakeholders
2020/07/10 by Bhatt, Umang, Andrus, McKane, Weller, Adrian +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences
- Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
2022/05/15 by Rui-Jie Yew, Alice Xiang, Yew, Rui-Jie +1 · 1 citation
Computer Science · Business, Management and Accounting · Medicine · #Law, AI, and Intellectual Property #Dispute Resolution and Class Actions #Patient Dignity and Privacy
- Efficient Bias Mitigation Without Privileged Information
2024/09/26 by Mateo Espinosa Zarlenga, Zarlenga, Mateo Espinosa, Swami Sankaranarayanan +9 · 2 citations
Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Law, Economics, and Judicial Systems
- A Taxonomy of Challenges to Curating Fair Datasets
2024/06/10 by Zhao, Dora, Scheuerman, Morgan Klaus, Chitre, Pooja +5 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)