| 2023 | 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? | Matteo Fabbri |
| 2023 | 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. | Matteo Fabbri |
| 2023 | Disambiguating Algorithmic Bias: From Neutrality to Justice. | Elizabeth Edenberg, Alexandra Wood |
| 2023 | Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. | 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 |
| 2023 | Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies? | Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Simon Maskell |
| 2023 | The Mechanical Psychologist: Leveraging AI for Detecting Predatory Behaviour in Online Interactions. | Darren Cook |
| 2023 | Robust Artificial Moral Agents and Metanormativity. | Tyler Cook |
| 2023 | Human Uncertainty in Concept-Based AI Systems. | Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham |
| 2023 | A Deep Dive into Dataset Imbalance and Bias in Face Identification. | Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein |
| 2023 | Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions. | Valerie Chen |
| 2023 | Reclaiming the Digital Commons: A Public Data Trust for Training Data. | Alan Chan, Herbie Bradley, Nitarshan Rajkumar |
| 2023 | A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. | Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid |
| 2023 | Designing Interfaces to Elicit Data Issues for Data Workers. | Kevin Bryson |
| 2023 | Exploring the Moral Value of Explainable Artificial Intelligence Through Public Service Postal Banks. | Joshua Brand |
| 2023 | Typology of Risks of Generative Text-to-Image Models. | Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh |
| 2023 | Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. | Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett |
| 2023 | Machine Learning practices and infrastructures. | Glen Berman |
| 2023 | Unpicking Epistemic Injustices in Digital Health: On the Implications of Designing Data-Driven Technologies for the Management of Long-Term Conditions. | SJ Bennett, Caroline Claisse, Ewa Luger, Abigail C. Durrant |
| 2023 | The Ethical Implications of Generative Audio Models: A Systematic Literature Review. | Julia Barnett |
| 2023 | "☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. | Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju |
| 2023 | Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. | Junaid Ali, Matthus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell |
| 2023 | On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. | Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni |
| 2023 | Algorithmic Bias: When stigmatization becomes a perception: The stigmatized become endangered. | Olalekan Joseph Akintande |
| 2023 | The ELIZA Defect: Constructing the Right Users for Generative AI. | Daniel Affsprung |
| 2023 | Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. | Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn |