Airline crew scheduling: models, algorithms, and data sets. - Atoosa Kasirzadeh; Mohammed Saddoune; François Soumis (EURO J. Transp. Logist., 2017)

Mathematical decisions and non-causal elements of explainable AI. - Atoosa Kasirzadeh (CoRR, 2019)

Fairness and Data Protection Impact Assessments. - Atoosa Kasirzadeh; Damian Clifford (AIES, 2021)

The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems. - Atoosa Kasirzadeh; Colin Klein (AIES, 2021)

Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence. - Atoosa Kasirzadeh (FAccT, 2021)

The Use and Misuse of Counterfactuals in Ethical Machine Learning. - Atoosa Kasirzadeh; Andrew Smart (FAccT, 2021)

Ethical and social risks of harm from Language Models. - Laura Weidinger; John Mellor; Maribeth Rauh; Conor Griffin; Jonathan Uesato; Po-Sen Huang; Myra Cheng; Mia Glaese; Borja Balle; Atoosa Kasirzadeh; Zac Kenton; Sasha Brown; et al. (CoRR, 2021)

Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy. - Atoosa Kasirzadeh (AIES, 2022)

Taxonomy of Risks posed by Language Models. - Laura Weidinger; Jonathan Uesato; Maribeth Rauh; Conor Griffin; Po-Sen Huang; John Mellor; Amelia Glaese; Myra Cheng; Borja Balle; Atoosa Kasirzadeh; Courtney Biles; Sasha Brown; et al. (FAccT, 2022)

Algorithmic and human decision making: for a double standard of transparency. - Mario Günther; Atoosa Kasirzadeh (AI Soc., 2022)

In conversation with Artificial Intelligence: aligning language models with human values. - Atoosa Kasirzadeh; Iason Gabriel (CoRR, 2022)

Typology of Risks of Generative Text-to-Image Models. - Charlotte Bird; Eddie L. Ungless; Atoosa Kasirzadeh (AIES, 2023)

User Tampering in Reinforcement Learning Recommender Systems. - Atoosa Kasirzadeh; Charles Evans (AIES, 2023)

Reconciling Governmental Use of Online Targeting With Democracy. - Katja Andric; Atoosa Kasirzadeh (FAccT, 2023)

ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity. - Atoosa Kasirzadeh (CoRR, 2023)

Epistemic Injustice in Generative AI. - Jackie Kay; Atoosa Kasirzadeh; Shakir Mohamed (AIES (1), 2024)

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. - Giada Pistilli; Alina Leidinger; Yacine Jernite; Atoosa Kasirzadeh; Alexandra Sasha Luccioni; Margaret Mitchell (AIES (1), 2024)

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano (KDD, 2024)

Two Types of AI Existential Risk: Decisive and Accumulative. - Atoosa Kasirzadeh (CoRR, 2024)

Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation. - Andrew Smart; Ding Wang; Ellis Monk; Mark Díaz; Atoosa Kasirzadeh; Erin van Liemt; Sonja Schmer-Galunder (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (CoRR, 2024)

Explanation Hacking: The perils of algorithmic recourse. - Emily Sullivan; Atoosa Kasirzadeh (CoRR, 2024)

Large Language Model Driven Recommendation. - Anton Korikov; Scott Sanner; Yashar Deldjoo; Zhankui He; Julian J. McAuley; Arnau Ramisa; René Vidal; Mahesh Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

The Future of Open Human Feedback. - Shachar Don-Yehiya; Ben Burtenshaw; Ramón Fernandez Astudillo; Cailean Osborne; Mimansa Jaiswal; Tzu-Sheng Kuo; Wenting Zhao; Idan Shenfeld; Andi Peng; Mikhail Yurochkin; Atoosa Kasirzadeh; Yangsibo Huang; et al. (CoRR, 2024)

Measurement challenges in AI catastrophic risk governance and safety frameworks. - Atoosa Kasirzadeh (CoRR, 2024)

Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models. - Eddie L. Ungless; Nikolas Vitsakis; Zeerak Talat; James Garforth; Björn Ross; Arno Onken; Atoosa Kasirzadeh; Alexandra Birch (CoRR, 2024)

Toward Democracy Levels for AI. - Aviv Ovadya; Luke Thorburn; Kyle Redman; Flynn Devine; Smitha Milli; Manon Revel; Andrew Konya; Atoosa Kasirzadeh (CoRR, 2024)

A Taxonomy of Systemic Risks from General-Purpose AI. - Risto Uuk; Carlos Ignacio Gutierrez; Daniel Guppy; Lode Lauwaert; Atoosa Kasirzadeh; Lucia Velasco; Peter Slattery; Carina Prunkl (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (Trans. Mach. Learn. Res., 2024)

The Only Way is Ethics: A Guide to Ethical Research with Large Language Models. - Eddie L. Ungless; Nikolas Vitsakis; Zeerak Talat; James Garforth; Björn Ross; Arno Onken; Atoosa Kasirzadeh; Alexandra Birch (COLING, 2025)

Tutorial on Recommendation with Generative Models (Gen-RecSys). - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano (WSDM, 2025)

AI safety for everyone. - Balint Gyevnar; Atoosa Kasirzadeh (Nat. Mac. Intell., 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)

Beyond model interpretability: socio-structural explanations in machine learning. - Andrew Smart; Atoosa Kasirzadeh (AI Soc., 2025)

Characterizing AI Agents for Alignment and Governance. - Atoosa Kasirzadeh; Iason Gabriel (CoRR, 2025)

Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach. - Zeyu Tang 002; Alex John London; Atoosa Kasirzadeh; Sanmi Koyejo; Peter Spirtes; Kun Zhang 001 (CoRR, 2025)