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cs.HC2026

"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace

Qing Nancy Xia, Marios Constantinides, Advait Sarkar +2

Generative AI (GenAI) tools are rapidly transforming knowledge work, making AI literacy a critical priority for organizations. However, research on AI literacy lacks empirical insi…

cs.HC2026

Filter Babel: The Challenge of Synthetic Media to Authenticity and Common Ground in AI-Mediated Communication

Advait Sarkar

Filter Babel is a thought experiment about a near future in which everything we read, watch, and even whom we "meet" is privately generated for each of us. If we each recede into a…

cs.HC2026

Searching for European Alternatives: Digital Sovereignty, Digital Patriotism, and the Emerging Geopolitics of Software Adoption

Advait Sarkar

Software adoption has traditionally been understood through instrumental lenses, such as usability, cost, security, and interoperability. We argue that a new, ideological dimension…

cs.HC2025

The Paradox of Spreadsheet Self-Efficacy: Social Incentives for Informal Knowledge Sharing in End-User Programming

Qing Nancy Xia, Advait Sarkar, Duncan P. Brumby +1

Informal Knowledge Sharing (KS) is vital for end-user programmers to gain expertise. To better understand how personal (self-efficacy), social (reputational gains, trust between co…

cs.HC2025

"How do you even know that stuff?": Barriers to expertise sharing among spreadsheet users

Qing Nancy Xia, Advait Sarkar, Duncan Brumby +1

Spreadsheet collaboration provides valuable opportunities for learning and expertise sharing between colleagues. Sharing expertise is essential for the retention of important techn…

cs.HC2024

Large Language Models Cannot Explain Themselves

Advait Sarkar

Large language models can be prompted to produce text. They can also be prompted to produce "explanations" of their output. But these are not really explanations, because they do n…