Sina Fazelpour

23 papers A* 1B 3C 2Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ambiguity Collapse by LLMs: A Taxonomy of Epistemic Risks. CoRR Shira Gur-Arieh, Angelina Wang, Sina Fazelpour
2026	A*	`conf`	Should You Use LLMs to Simulate Opinions? Quality Checks for Early-Stage Deliberation. AAAI Terrence Neumann, Maria De-Arteaga, Sina Fazelpour
2025	J	`jnl`	Aspirational Affordances of AI. CoRR Sina Fazelpour, Meica Magnani
2025	B	`conf`	Epistemic Monocultures and the Effect of AI Personalization. CogSci Joseph D. O'Brien, Hannah Rubin, Kekoa Wong, Sina Fazelpour
2025	J	`jnl`	Should you use LLMs to simulate opinions? Quality checks for early-stage deliberation. CoRR Terrence Neumann, Maria De-Arteaga, Sina Fazelpour
2025	—	`conf`	The Value of Disagreement in AI Design, Evaluation, and Alignment. FAccT Sina Fazelpour, Will Fleisher
2025	J	`jnl`	The Value of Disagreement in AI Design, Evaluation, and Alignment. CoRR Sina Fazelpour, Will Fleisher
2024	J	`jnl`	Authenticity and exclusion: social media recommendation algorithms and the dynamics of belonging in professional networks. CoRR Nil-Jana Akpinar, Sina Fazelpour
2024	J	`jnl`	Disciplining deliberation: a sociotechnical perspective on machine learning trade-offs. CoRR Sina Fazelpour
2024	J	`jnl`	Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation. CoRR Terrence Neumann, Sooyong Lee, Maria De-Arteaga, Sina Fazelpour, Matthew Lease
2024	J	`jnl`	Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina. CoRR Yuan Gao, Dokyun Lee, Gordon Burtch, Sina Fazelpour
2022	B	`conf`	Diversity and homophily in social networks. CogSci Sina Fazelpour, Hannah Rubin
2022	J	`jnl`	Diversity in sociotechnical machine learning systems. Big Data Soc. Sina Fazelpour, Maria De-Arteaga
2022	B	`conf`	Homophily and Incentive Effects in Use of Algorithms. CogSci Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
2022	J	`jnl`	Homophily and Incentive Effects in Use of Algorithms. CoRR Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
2022	—	`conf`	Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms. FAccT Terrence Neumann, Maria De-Arteaga, Sina Fazelpour
2022	J	`jnl`	Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms. CoRR Terrence Neumann, Maria De-Arteaga, Sina Fazelpour
2021	J	`jnl`	Diversity in Sociotechnical Machine Learning Systems. CoRR Sina Fazelpour, Maria De-Arteaga
2021	C	`conf`	Fair Machine Learning Under Partial Compliance. AIES Jessica Dai, Sina Fazelpour, Zachary C. Lipton
2021	J	`jnl`	Information elaboration and epistemic effects of diversity. Synth. Daniel Steel, Sina Fazelpour, Bianca Crewe, Kinley Gillette
2020	C	`conf`	Algorithmic Fairness from a Non-ideal Perspective. AIES Sina Fazelpour, Zachary C. Lipton
2020	J	`jnl`	Algorithmic Fairness from a Non-ideal Perspective. CoRR Sina Fazelpour, Zachary C. Lipton
2020	J	`jnl`	Fair Machine Learning Under Partial Compliance. CoRR Jessica Dai, Sina Fazelpour, Zachary C. Lipton