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Publication search results
found 102 matches
- 2023
- Tom Williams, Kerstin Sophie Haring:
No Justice, No Robots: From the Dispositions of Policing to an Abolitionist Robotics. AIES 2023: 566-575 - Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn:
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. AIES 2023: 287-296 - Daniel Affsprung:
The ELIZA Defect: Constructing the Right Users for Generative AI. AIES 2023: 945-946 - Olalekan Joseph Akintande:
Algorithmic Bias: When stigmatization becomes a perception: The stigmatized become endangered. AIES 2023: 966-971 - Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni:
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. AIES 2023: 411-431 - Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell:
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. AIES 2023: 809-833 - Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju:
"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. AIES 2023: 482-495 - Julia Barnett:
The Ethical Implications of Generative Audio Models: A Systematic Literature Review. AIES 2023: 146-161 - SJ Bennett, Caroline Claisse, Ewa Luger, Abigail C. Durrant:
Unpicking Epistemic Injustices in Digital Health: On the Implications of Designing Data-Driven Technologies for the Management of Long-Term Conditions. AIES 2023: 322-332 - Glen Berman:
Machine Learning practices and infrastructures. AIES 2023: 466-481 - Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. AIES 2023: 764-774 - Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh:
Typology of Risks of Generative Text-to-Image Models. AIES 2023: 396-410 - Joshua Brand:
Exploring the Moral Value of Explainable Artificial Intelligence Through Public Service Postal Banks. AIES 2023: 990-992 - Kevin Bryson:
Designing Interfaces to Elicit Data Issues for Data Workers. AIES 2023: 957-958 - Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid:
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. AIES 2023: 705-714 - Alan Chan, Herbie Bradley, Nitarshan Rajkumar:
Reclaiming the Digital Commons: A Public Data Trust for Training Data. AIES 2023: 855-868 - Valerie Chen:
Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions. AIES 2023: 942-944 - Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein:
A Deep Dive into Dataset Imbalance and Bias in Face Identification. AIES 2023: 229-247 - Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham:
Human Uncertainty in Concept-Based AI Systems. AIES 2023: 869-889 - Tyler Cook:
Robust Artificial Moral Agents and Metanormativity. AIES 2023: 162-169 - Darren Cook:
The Mechanical Psychologist: Leveraging AI for Detecting Predatory Behaviour in Online Interactions. AIES 2023: 1010-1012 - Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Simon Maskell:
Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies? AIES 2023: 5-14 - Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal:
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. AIES 2023: 375-386 - Elizabeth Edenberg, Alexandra Wood:
Disambiguating Algorithmic Bias: From Neutrality to Justice. AIES 2023: 691-704 - Matteo Fabbri:
Self-determination through explanation: an ethical perspective on the implementation of the transparency requirements for recommender systems set by the Digital Services Act of the European Union. AIES 2023: 653-661 - Matteo Fabbri:
How and to which extent will the provisions of the Digital Services Act of the European Union impact on the relationship between users and platforms as information providers? AIES 2023: 1002-1003 - Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari:
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. AIES 2023: 38-48 - Bhargavi Ganesh:
The Role of Governance in Bridging AI Responsibility Gaps: An interdisciplinary evaluation of emerging AI governance measures. AIES 2023: 952-954 - Sourojit Ghosh, Aylin Caliskan:
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages. AIES 2023: 901-912 - Avijit Ghosh, Pablo Kvitca, Christo Wilson:
When Fair Classification Meets Noisy Protected Attributes. AIES 2023: 679-690
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