4 papers
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
Bar Eini Porat, Rom Gutman, Uri Shalit +1
Explainability methods have progressed rapidly, but global explanations for time-series models remain underdeveloped, with most approaches focusing on local, instance-level attribu…
Proactive AI Adoption can be Threatening: When Help Backfires
Dana Harari, Ofra Amir
Artificial intelligence (AI) assistants are increasingly embedded in workplace tools, raising the question of how initiative-taking shapes adoption. Prior work highlights trust and…
Aligning What LLMs Do and Say: Towards Self-Consistent Explanations
Sahar Admoni, Ofra Amir, Assaf Hallak +1
Large language models (LLMs) seem to offer an easy path to interpretability: just ask them to explain their answers. Yet the features driving an answer often differ from those emph…
Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits
Hana Matatov, Marianne Aubin Le Quéré, Ofra Amir +1
Broadly accessible generative AI models like Dall-E have made it possible for anyone to create compelling visual art. In online communities, the introduction of AI-generated conten…