Atoosa Kasirzadeh

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Data Protection

Human Decision Making

Top Venues

Publications

Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. CoRR (2024)
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, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR (2024)
Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin Van Liemt, Sonja Schmer-Galunder
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation. CoRR (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD (2024)
Emily Sullivan, Atoosa Kasirzadeh
Explanation Hacking: The perils of algorithmic recourse. CoRR (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR (2024)
Atoosa Kasirzadeh
Two Types of AI Existential Risk: Decisive and Accumulative. CoRR (2024)
Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh
Typology of Risks of Generative Text-to-Image Models. CoRR (2023)
Atoosa Kasirzadeh
ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity. CoRR (2023)
Katja Andric, Atoosa Kasirzadeh
Reconciling Governmental Use of Online Targeting With Democracy. FAccT (2023)
Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh
Typology of Risks of Generative Text-to-Image Models. AIES (2023)
Atoosa Kasirzadeh, Charles Evans
User Tampering in Reinforcement Learning Recommender Systems. AIES (2023)
Katja Andric, Atoosa Kasirzadeh
Reconciling Governmental Use of Online Targeting With Democracy. CoRR (2023)
Atoosa Kasirzadeh
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy. CoRR (2022)
Atoosa Kasirzadeh, Iason Gabriel
In conversation with Artificial Intelligence: aligning language models with human values. CoRR (2022)
Mario Günther, Atoosa Kasirzadeh
Algorithmic and human decision making: for a double standard of transparency. AI Soc. 37 (1) (2022)
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, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William S. Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel
Taxonomy of Risks posed by Language Models. FAccT (2022)
Atoosa Kasirzadeh
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy. AIES (2022)
Atoosa Kasirzadeh, Andrew Smart
The Use and Misuse of Counterfactuals in Ethical Machine Learning. CoRR (2021)
Atoosa Kasirzadeh, Damian Clifford
Fairness and Data Protection Impact Assessments. AIES (2021)
Atoosa Kasirzadeh
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence. FAccT (2021)
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, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William S. Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel
Ethical and social risks of harm from Language Models. CoRR (2021)
Atoosa Kasirzadeh, Andrew Smart
The Use and Misuse of Counterfactuals in Ethical Machine Learning. FAccT (2021)
Charles Evans, Atoosa Kasirzadeh
User Tampering in Reinforcement Learning Recommender Systems. CoRR (2021)
Atoosa Kasirzadeh, Damian Clifford
Fairness and Data Protection Impact Assessments. CoRR (2021)
Atoosa Kasirzadeh
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence. CoRR (2021)
Atoosa Kasirzadeh, Colin Klein
The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems. AIES (2021)
Atoosa Kasirzadeh
Mathematical decisions and non-causal elements of explainable AI. CoRR (2019)
Atoosa Kasirzadeh, Mohammed Saddoune, François Soumis
Airline crew scheduling: models, algorithms, and data sets. EURO J. Transp. Logist. 6 (2) (2017)