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20242026
most citedTo Err is AI : A Case Study Informing LLM Flaw Reporting Practices

2 citations · 4 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.HC2026

Beyond the Monolithic Interface: A Research Agenda for Plural Conversational AI

Avijit Ghosh, Afifah Kashif, Isabelle Kohout +1

The current paradigm of artificial intelligence (AI) design elevates conversational chatbot interfaces, making them the default mode through which hundreds of millions of people in…

cs.CY2026

FLARE-AI: Flaw Reporting for AI

Shayne Longpre, Elaine Zhu, Carson Ezell +15

Flaw reporting for deployed AI systems is fundamental to identifying system failures and improving AI safety. Yet the AI reporting ecosystem is fragmented: researchers who identify…

cs.AI2026

Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results

Jan Batzner, Sree Harsha Nelaturu, Damian Stachura +45

AI evaluations are widely used for testing and understanding progress. However, the diverse evaluators bring with them inconsistencies that challenge analysis and comparison. First…

cs.AI2026

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting

Avijit Ghosh, Anka Reuel, Jenny Chim +45

AI evaluation results are produced at scale but reported inconsistently across leaderboards, model cards, benchmark papers, and company blogs. The cost is interpretive: readers can…

cs.CY2026

What if AI systems weren't chatbots?

Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam +1

The rapid convergence of artificial intelligence (AI) toward conversational chatbot interfaces marks a critical moment for the industry. This paper argues that the chatbot paradigm…