Title
Application of the NIST AI Risk Management Framework to Surveillance Technology Nandhini Swaminathan David Danks 23 3 0 22 Mar 2024
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food Conor M. Artman Aditya Mate Ezinne Nwankwo A. Heching Tsuyoshi Idé ... Kush R. Varshney Lauri Goldkind Gidi Kroch Jaclyn Sawyer Ian Watson 37 0 0 15 Mar 2024
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 45 43 0 23 Feb 2024
Understanding the Dataset Practitioners Behind Large Language Model Development Crystal Qian Emily Reif Minsuk Kahng 41 3 0 21 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 105 0 0 20 Feb 2024
Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction Zeya Chen Ruth Schmidt 16 1 0 15 Feb 2024
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain Yongchen Zhou Richard Jiang 24 3 0 07 Feb 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 38 1 0 24 Jan 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 14 2 0 23 Jan 2024
Achieve Fairness without Demographics for Dermatological Disease Diagnosis Ching-Hao Chiu Yu-Jen Chen Yawen Wu Yiyu Shi Tsung-Yi Ho 38 4 0 16 Jan 2024
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation Bhushan Chaudhary Anubha Pandey Deepak L. Bhatt Darshika Tiwari 25 2 0 26 Dec 2023
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360 Christina Hastings Blow Lijun Qian Camille Gibson Pamela Obiomon Xishuang Dong 17 5 0 19 Dec 2023
GroupMixNorm Layer for Learning Fair Models Anubha Pandey Aditi Rai Maneet Singh Deepak L. Bhatt Tanmoy Bhowmik 22 0 0 19 Dec 2023
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision Collin Burns Pavel Izmailov Jan Hendrik Kirchner Bowen Baker Leo Gao ... Adrien Ecoffet Manas Joglekar Jan Leike Ilya Sutskever Jeff Wu ELM 50 262 0 14 Dec 2023
GELDA: A generative language annotation framework to reveal visual biases in datasets Krish Kabra Kathleen M. Lewis Guha Balakrishnan VLM 24 1 0 29 Nov 2023
Automated discovery of trade-off between utility, privacy and fairness in machine learning models Bogdan Ficiu Neil D. Lawrence Andrei Paleyes 35 1 0 27 Nov 2023
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 21 1 0 21 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 41 7 0 12 Nov 2023
Regression with Cost-based Rejection Xin Cheng Yuzhou Cao Haobo Wang Hongxin Wei Bo An Lei Feng OOD 50 7 0 08 Nov 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 37 4 0 26 Oct 2023
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications Yanchen Liu Srishti Gautam Jiaqi Ma Himabindu Lakkaraju LMTD 24 12 0 23 Oct 2023
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models Veronica Chatrath Oluwanifemi Bamgbose Shaina Raza ALM ELM 19 1 0 20 Oct 2023
Identifying and examining machine learning biases on Adult dataset Sahil Girhepuje FaML 13 2 0 13 Oct 2023
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks Hao-Ping Lee Yu-Ju Yang Thomas Serban Von Davier J. Forlizzi Sauvik Das 26 55 0 11 Oct 2023
Fair Classifiers that Abstain without Harm Tongxin Yin Jean-François Ton Ruocheng Guo Yuanshun Yao Mingyan Liu Yang Liu 27 4 0 09 Oct 2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Hadi Elzayn Emily Black Patrick Vossler Nathanael Jo Jacob Goldin Daniel E. Ho 21 2 0 02 Oct 2023
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models Duanyu Feng Yongfu Dai Jimin Huang Yifang Zhang Qianqian Xie Weiguang Han Zhengyu Chen Alejandro Lopez-Lira Hao Wang 38 7 0 01 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Bias and Fairness in Chatbots: An Overview Jintang Xue Yun Cheng Wang Chengwei Wei Xiaofeng Liu Jonghye Woo C.-C. Jay Kuo 36 29 0 16 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 41 1 0 15 Sep 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 37 2 0 13 Sep 2023
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models Emmanuel Klu Sameer Sethi 36 0 0 07 Sep 2023
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 18 3 0 11 Aug 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F Frangi Alena Buyx ... Yi Zeng Yunusa G Mohammed Yves Saint James Aquino Zohaib Salahuddin M. P. Starmans AI4TS 37 39 0 11 Aug 2023
Addressing Racial Bias in Facial Emotion Recognition Alex Fan Xuesu Xiao Peter Washington 29 1 0 09 Aug 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 27 14 0 07 Aug 2023
A Suite of Fairness Datasets for Tabular Classification Martin Hirzel Michael Feffer FaML 11 3 0 31 Jul 2023
AI and ethics in insurance: a new solution to mitigate proxy discrimination in risk modeling Marguerite Sauce Antoine Chancel Antoine Ly 25 0 0 25 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 27 9 0 21 Jul 2023
Challenges and Solutions in AI for All R. Shams Didar Zowghi Muneera Bano 28 4 0 20 Jul 2023
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms Organizers of QueerInAI Nathaniel Dennler Anaelia Ovalle Ashwin Singh Luca Soldaini ... Kyra Yee Irene Font Peradejordi Zeerak Talat Mayra Russo Jessica de Jesus de Pinho Pinhal 26 15 0 15 Jul 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 36 30 0 09 Jul 2023
When Fair Classification Meets Noisy Protected Attributes Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 19 6 0 06 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching N. Shahbazi Nikola Danevski F. Nargesian Abolfazl Asudeh D. Srivastava 19 10 0 06 Jul 2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics Chuan Qin Le Zhang Yihang Cheng Ruiming Zha Dazhong Shen ... Xi Chen Ying Sun Chen Zhu Hengshu Zhu Hui Xiong 15 40 0 03 Jul 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 33 11 0 30 Jun 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Xia Hu 47 26 0 15 Jun 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Giang Nguyen Sumon Biswas Hridesh Rajan FaML 43 13 0 15 Jun 2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity Lisa Koutsoviti Koumeri Magali Legast Yasaman Yousefi K. Vanhoof Axel Legay Christoph Schommer FaML 35 5 0 14 Jun 2023
ICON $^2$ : Reliably Benchmarking Predictive Inequity in Object Detection Sruthi Sudhakar Viraj Prabhu Olga Russakovsky Judy Hoffman 33 2 0 07 Jun 2023