345 citations
- Microsoft (United States)US17 papers
- Microsoft Research Montréal (Canada)10 papers
- Carnegie Mellon UniversityUS4 papers
- Georgia Institute of TechnologyUS4 papers
- University College LondonGB4 papers
- University of Illinois Urbana-ChampaignUS4 papers
- Bellevue Hospital CenterUS3 papers
- McGill UniversityCA2 papers
- Microsoft Research New York City (United States)2 papers
- Microsoft Research (United Kingdom)GB2 papers
- Orange (France)FR2 papers
- Princeton UniversityUS2 papers
38 papers
A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies
Alicia DeVrio, Myra Cheng, Lisa Egede +2
Recent attention to anthropomorphism -- the attribution of human-like qualities to non-human objects or entities -- of language technologies like LLMs has sparked renewed discussio…
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao +2
Large language models (LLMs) can produce erroneous responses that sound fluent and convincing, raising the risk that users will rely on these responses as if they were correct. Mit…
As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
Jingshu Li, Yitian Yang, Q. Vera Liao +2
Complementary collaboration between humans and AI is essential for human-AI decision making. One feasible approach to achieving it involves accounting for the calibrated confidence…
ENCO: Life-Cycle Management of Enterprise-Grade Copilots
Yiwen Zhu, Mathieu Demarne, Kai Deng +12
Software engineers frequently grapple with the challenge of accessing disparate documentation and telemetry data, including TroubleShooting Guides (TSGs), incident reports, code re…
Drivers of Electric Vehicle Adoption in Nigeria: An Extended UTAUT Framework Approach
Qasim Ajao, Lanre Sadeeq, Oluwatobi Oluwaponmile Sodiq
Electric vehicles (EVs) represent a significant advancement in automotive technology, utilizing electricity as a power source instead of traditional fossil fuels, while incorporati…
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu +2
Widely deployed large language models (LLMs) can produce convincing yet incorrect outputs, potentially misleading users who may rely on them as if they were correct. To reduce such…