Atoosa Kasirzadeh

According to our database, Atoosa Kasirzadeh authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Measurement challenges in AI catastrophic risk governance and safety frameworks.

Atoosa Kasirzadeh

CoRR, 2024

Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning.

Andrew Smart, Atoosa Kasirzadeh

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, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen

CoRR, 2024

Epistemic Injustice in Generative AI.

Jackie Kay, Atoosa Kasirzadeh, Shakir Mohamed

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

Explanation Hacking: The perils of algorithmic recourse.

Emily Sullivan, Atoosa Kasirzadeh

CoRR, 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

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, 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

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

Two Types of AI Existential Risk: Decisive and Accumulative.

Atoosa Kasirzadeh

CoRR, 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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity.

Atoosa Kasirzadeh

CoRR, 2023

Reconciling Governmental Use of Online Targeting With Democracy.

Katja Andric, Atoosa Kasirzadeh

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

User Tampering in Reinforcement Learning Recommender Systems.

Atoosa Kasirzadeh, Charles Evans

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Typology of Risks of Generative Text-to-Image Models.

Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

In conversation with Artificial Intelligence: aligning language models with human values.

Atoosa Kasirzadeh, Iason Gabriel

CoRR, 2022

Algorithmic and human decision making: for a double standard of transparency.

Mario Günther, Atoosa Kasirzadeh

AI Soc., 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, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy.

Atoosa Kasirzadeh

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

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, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel

CoRR, 2021

The Use and Misuse of Counterfactuals in Ethical Machine Learning.

Atoosa Kasirzadeh, Andrew Smart

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence.

Atoosa Kasirzadeh

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems.

Atoosa Kasirzadeh, Colin Klein

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Fairness and Data Protection Impact Assessments.

Atoosa Kasirzadeh, Damian Clifford

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2019

Mathematical decisions and non-causal elements of explainable AI.

Atoosa Kasirzadeh

CoRR, 2019

2017

Airline crew scheduling: models, algorithms, and data sets.

Atoosa Kasirzadeh, Mohammed Saddoune, François Soumis

EURO J. Transp. Logist., 2017