Atoosa Kasirzadeh

Orcid: 0000-0002-5967-3782

According to our database1, Atoosa Kasirzadeh authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation.
CoRR, 2024

Two Types of AI Existential Risk: Decisive and Accumulative.
CoRR, 2024

2023
ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity.
CoRR, 2023

Reconciling Governmental Use of Online Targeting With Democracy.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

User Tampering in Reinforcement Learning Recommender Systems.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Typology of Risks of Generative Text-to-Image Models.
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.
CoRR, 2022

Algorithmic and human decision making: for a double standard of transparency.
AI Soc., 2022

Taxonomy of Risks posed by Language Models.
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.
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.
CoRR, 2021

The Use and Misuse of Counterfactuals in Ethical Machine Learning.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence.
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.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Fairness and Data Protection Impact Assessments.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2019
Mathematical decisions and non-causal elements of explainable AI.
CoRR, 2019

2017
Airline crew scheduling: models, algorithms, and data sets.
EURO J. Transp. Logist., 2017


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