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AI assistance in video search increases accuracy but risks over-reliance

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv investigates the impact of large language models (LLMs) on information-seeking behavior from video content. Researchers found that while AI assistance can improve accuracy and efficiency in retrieving information from videos, users tend to over-rely on AI outputs, leading to significant accuracy drops when the AI provides incorrect information. Alarmingly, users' confidence in their answers remained stable regardless of AI accuracy, highlighting potential safety risks in AI-mediated video information retrieval. AI

IMPACT AI assistance in video search improves efficiency and accuracy but poses risks due to user over-reliance and stable confidence levels, highlighting safety concerns.

RANK_REASON Research paper published on arXiv detailing findings about AI's impact on information seeking. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI assistance in video search increases accuracy but risks over-reliance

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28 / 100
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Research paper published on arXiv detailing findings about AI's impact on information seeking. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Anders Giovanni M{\o}ller, Elisa Bassignana, Francesco Pierri, Luca Maria Aiello ·

    Overreliance on AI in Information-seeking from Video Content

    arXiv:2603.19843v2 Announce Type: replace-cross Abstract: The ubiquity of multimedia content is reshaping online information spaces, particularly in social media environments. At the same time, search is being rapidly transformed by generative AI, with large language models (LLMs…

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