activity
20242026
most citedArtificial Intelligence for Food Innovation

3 citations · 4 across the 11 of their papers we have counts for

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Showing cs.CYShow all

8 papers · 1 filter

cs.CY2026

You Talkin to Me?: A Network Analysis of Gendered Speaker-Addressee Patterns in Film Screenplays

Samin Khan, Camilla Griffiths, Shrikanth Narayanan +2

Objective: This paper investigates the gendered structure of speaker addressee relationships in film dialogue, asking not merely who speaks, but who is spoken to and how conversati…

cs.CY2026

Algorithmic Monocultures in Hiring

Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel +2

Many employers screen job applicants with algorithms built by the same few algorithm vendors. We hypothesize that algorithmic monoculture leads to the same individuals and members…

cs.CY2026

Cognitive offloading and the speedup illusion in human-AI interaction

Sunny Yu, Myra Cheng, Ahmad Jabbar +4

Large language models (LLMs) have the potential to boost human productivity by speeding up task completion -- provided users know when to offload cognitive work to them. But we do…

cs.CY2026

The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks

Sunny Yu, Myra Cheng, Ahmad Jabbar +4

People are increasingly turning to AI assistance for simple tasks, e.g., arithmetic, spell-check, and answering simple questions. But does AI assistance actually save users time an…

cs.CY2025

Attention to Non-Adopters

Kaitlyn Zhou, Kristina Gligorić, Myra Cheng +7

Although language model-based chat systems are increasingly used in daily life, most Americans remain non-adopters of chat-based LLMs -- as of June 2025, 66% had never used ChatGPT…

cs.CY202514 cited

Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence

Myra Cheng, Cinoo Lee, Pranav Khadpe +3

Both the general public and academic communities have raised concerns about sycophancy, the phenomenon of artificial intelligence (AI) excessively agreeing with or flattering users…