activity
20172026
most citedKnowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems

96 citations · 388 across the 37 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.AI2024★ 1 cited

To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems

Gaole He, Abri Bharos, Ujwal Gadiraju

Powerful predictive AI systems have demonstrated great potential in augmenting human decision making. Recent empirical work has argued that the vision for optimal human-AI collabor…

cs.HC2024

"Hi. I'm Molly, Your Virtual Interviewer!" -- Exploring the Impact of Race and Gender in AI-powered Virtual Interview Experiences

Shreyan Biswas, Ji-Youn Jung, Abhishek Unnam +3

The persistent issue of human bias in recruitment processes poses a formidable challenge to achieving equitable hiring practices, particularly when influenced by demographic charac…

cs.AI2024

From Stem to Stern: Contestability Along AI Value Chains

Agathe Balayn, Yulu Pi, David Gray Widder +9

This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize…

cs.HC2024★ 10 cited

Everything We Hear: Towards Tackling Misinformation in Podcasts

Sachin Pathiyan Cherumanal, Ujwal Gadiraju, Damiano Spina

Advances in generative AI, the proliferation of large multimodal models (LMMs), and democratized open access to these technologies have direct implications for the production and d…

cs.HC2024

Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain

Agathe Balayn, Lorenzo Corti, Fanny Rancourt +2

Explainability and transparency of AI systems are undeniably important, leading to several research studies and tools addressing them. Existing works fall short of accounting for t…

cs.HC2024★ 2 cited

An Empirical Exploration of Trust Dynamics in LLM Supply Chains

Agathe Balayn, Mireia Yurrita, Fanny Rancourt +2

With the widespread proliferation of AI systems, trust in AI is an important and timely topic to navigate. Researchers so far have largely employed a myopic view of this relationsh…

cs.CL2024★ 1 cited

Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology

Rishav Hada, Safiya Husain, Varun Gumma +8

Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South…