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Atoosa Kasirzadeh
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2020 – today
- 2024
- [c10]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: 6448-6458 - [i17]Atoosa Kasirzadeh:
Two Types of AI Existential Risk: Decisive and Accumulative. CoRR abs/2401.07836 (2024) - [i16]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 abs/2402.06811 (2024) - [i15]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 abs/2404.00579 (2024) - [i14]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 abs/2404.09932 (2024) - [i13]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 abs/2405.13974 (2024) - [i12]Emily Sullivan, Atoosa Kasirzadeh:
Explanation Hacking: The perils of algorithmic recourse. CoRR abs/2406.11843 (2024) - 2023
- [c9]Atoosa Kasirzadeh
, Charles Evans
:
User Tampering in Reinforcement Learning Recommender Systems. AIES 2023: 58-69 - [c8]Charlotte Bird
, Eddie L. Ungless
, Atoosa Kasirzadeh
:
Typology of Risks of Generative Text-to-Image Models. AIES 2023: 396-410 - [c7]Katja Andric
, Atoosa Kasirzadeh
:
Reconciling Governmental Use of Online Targeting With Democracy. FAccT 2023: 1871-1881 - [i11]Atoosa Kasirzadeh:
ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity. CoRR abs/2304.11163 (2023) - [i10]Katja Andric, Atoosa Kasirzadeh:
Reconciling Governmental Use of Online Targeting With Democracy. CoRR abs/2306.01479 (2023) - [i9]Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh:
Typology of Risks of Generative Text-to-Image Models. CoRR abs/2307.05543 (2023) - 2022
- [j2]Mario Günther, Atoosa Kasirzadeh
:
Algorithmic and human decision making: for a double standard of transparency. AI Soc. 37(1): 375-381 (2022) - [c6]Atoosa Kasirzadeh
:
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy. AIES 2022: 349-356 - [c5]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:
Taxonomy of Risks posed by Language Models. FAccT 2022: 214-229 - [i8]Atoosa Kasirzadeh:
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy. CoRR abs/2206.00945 (2022) - [i7]Atoosa Kasirzadeh, Iason Gabriel:
In conversation with Artificial Intelligence: aligning language models with human values. CoRR abs/2209.00731 (2022) - 2021
- [c4]Atoosa Kasirzadeh
, Damian Clifford
:
Fairness and Data Protection Impact Assessments. AIES 2021: 146-153 - [c3]Atoosa Kasirzadeh
, Colin Klein:
The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems. AIES 2021: 618-626 - [c2]Atoosa Kasirzadeh:
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence. FAccT 2021: 14 - [c1]Atoosa Kasirzadeh
, Andrew Smart:
The Use and Misuse of Counterfactuals in Ethical Machine Learning. FAccT 2021: 228-236 - [i6]Atoosa Kasirzadeh, Andrew Smart:
The Use and Misuse of Counterfactuals in Ethical Machine Learning. CoRR abs/2102.05085 (2021) - [i5]Atoosa Kasirzadeh:
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence. CoRR abs/2103.00752 (2021) - [i4]Charles Evans, Atoosa Kasirzadeh:
User Tampering in Reinforcement Learning Recommender Systems. CoRR abs/2109.04083 (2021) - [i3]Atoosa Kasirzadeh, Damian Clifford:
Fairness and Data Protection Impact Assessments. CoRR abs/2109.06309 (2021) - [i2]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:
Ethical and social risks of harm from Language Models. CoRR abs/2112.04359 (2021)
2010 – 2019
- 2019
- [i1]Atoosa Kasirzadeh:
Mathematical decisions and non-causal elements of explainable AI. CoRR abs/1910.13607 (2019) - 2017
- [j1]Atoosa Kasirzadeh
, Mohammed Saddoune, François Soumis:
Airline crew scheduling: models, algorithms, and data sets. EURO J. Transp. Logist. 6(2): 111-137 (2017)
Coauthor Index
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last updated on 2024-09-10 01:14 CEST by the dblp team
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