default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEAAMO 2023: Boston, MA, USA
- Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2023, Boston, MA, USA, 30 October 2023 - 1 November 2023. ACM 2023
- Abdul-Hakeem Omotayo, Mai Gamal, Eman Ehab, Gbètondji J.-S. Dovonon, Zainab Akinjobi, Lukman Ismaila, Houcemeddine Turki, Mahmoud Abdien, Idriss Tondji, Abigail Oppong, Yvan Pimi, Karim Gamal, Mennatullah Siam
:
Towards a Better Understanding of the Computer Vision Research Community in Africa. 1:1-1:12 - José M. Álvarez, Salvatore Ruggieri:
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference. 2:1-2:11 - Michael Feffer, Nikolas Martelaro, Hoda Heidari:
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements. 3:1-3:11 - Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi:
Taking Off with AI: Lessons from Aviation for Healthcare. 4:1-4:14 - Michael P. Kim, Moritz Hardt:
Is Your Model Predicting the Past? 5:1-5:8 - Micah Carroll, Alan Chan, Henry Ashton, David Krueger:
Characterizing Manipulation from AI Systems. 6:1-6:13 - Nicolò Pagan, Joachim Baumann, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani, Anikó Hannák:
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems. 7:1-7:14 - Eric Corbett, Emily Denton, Sheena Erete:
Power and Public Participation in AI. 8:1-8:13 - Qishen Han, Biaoshuai Tao, Lirong Xia:
Average Envy-freeness for Indivisible Items. 9:1-9:9 - Sebastian Benthall, David Shekman:
Designing Fiduciary Artificial Intelligence. 10:1-10:15 - Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. 11:1-11:10 - Weixiao Huang, Elise Jade Deshusses, Jennifer Ann Pazour, Yunus Dogan Telliel, Sarah Eliza Stanlick, Andrew Christopher Trapp:
Empowering Collective Impact: Introducing SWAP for Resource Sharing. 12:1-12:12 - Isa Inuwa-Dutse:
FATE in AI: Towards Algorithmic Inclusivity and Accessibility. 13:1-13:14 - Carolyn Ashurst, Adrian Weller:
Fairness Without Demographic Data: A Survey of Approaches. 14:1-14:12 - Claudia Flores-Saviaga, Christopher Curtis, Saiph Savage:
Inclusive Portraits: Race-Aware Human-in-the-Loop Technology. 15:1-15:11 - Nabit A. Bajwa, Sanmay Das:
Test Scores, Classroom Performance, and Capacity in Academically Selective School Program Admissions. 16:1-16:15 - Benjamin Laufer, Jon M. Kleinberg, Karen Levy, Helen Nissenbaum:
Strategic Evaluation. 17:1-17:12 - Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Informational Diversity and Affinity Bias in Team Growth Dynamics. 18:1-18:10 - Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt:
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. 19:1-19:15 - Fatemeh Farajzadeh, Ryan Baylor Killea, Alexander Teytelboym, Andrew Christopher Trapp:
Optimizing Sponsored Humanitarian Parole. 20:1-20:13 - Christina Yeung, Umar Iqbal, Tadayoshi Kohno, Franziska Roesner:
Gender Biases in Tone Analysis: A Case Study of a Commercial Wearable. 21:1-21:12 - Tobi Jegede, Marissa Kumar Gerchick, Amreeta S. Mathai, Aaron Horowitz:
Challenge Accepted? A Critique of the 2021 National Institute of Justice Recidivism Forecasting Challenge. 22:1-22:17 - Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi:
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. 23:1-23:11 - Yanchen Wang, Lisa Singh:
Mitigating demographic bias of machine learning models on social media. 24:1-24:12 - Miri Zilka, Carolyn Ashurst, Luke Chambers, Ellen P. Goodmann, Pamela Ugwudike, Marion Oswald:
Exploring Police Perspectives on Algorithmic Transparency: A Qualitative Analysis of Police Interviews in the UK. 25:1-25:19 - Jennifer Chien, Margaret E. Roberts, Berk Ustun:
Algorithmic Censoring in Dynamic Learning Systems. 26:1-26:20 - Elizabeth Edenberg, Alexandra Wood:
An Epistemic Lens on Algorithmic Fairness. 27:1-27:10 - Harry Camilleri, Carolyn Ashurst, Nithya Jaisankar, Adrian Weller, Miri Zilka:
Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency. 28:1-28:19 - João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich:
Setting the Right Expectations: Algorithmic Recourse Over Time. 29:1-29:11 - Vijay Keswani, L. Elisa Celis:
Addressing Strategic Manipulation Disparities in Fair Classification. 30:1-30:11 - Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos:
Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. 31:1-31:10 - Anaelia Ovalle, Davi Liang, Alicia Boyd:
Should they? Mobile Biometrics and Technopolicy Meet Queer Community Considerations. 32:1-32:10 - Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi:
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. 33:1-33:12 - Abel Salinas, Parth Vipul Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter:
The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA. 34:1-34:15 - Kathy Reid, Elizabeth T. Williams:
Common Voice and accent choice: data contributors self-describe their spoken accents in diverse ways. 35:1-35:10 - Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari:
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. 36:1-36:11 - Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang:
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice. 37:1-37:23 - Meirav Segal, Anne-Marie George, Christos Dimitrakakis:
Policy Fairness and Unknown Bias Dynamics in Sequential Allocations. 38:1-38:10
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-12 21:04 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
