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AI researchers questioned on trust in AI recommendations for emergency response

By PulseAugur Editorial · [1 sources] ·

An AI researcher is posing a critical question to the field: in disaster scenarios like floods, would emergency teams rely on AI recommendations if they cannot understand the reasoning behind them? The researcher's book explores integrating flood response learning with SHAP (SHapley Additive exPlanations) to foster trust by providing both the 'what' and the 'why' of AI suggestions. This approach aims to build confidence in AI systems for high-stakes decision-making. AI

IMPACT Raises questions about the practical implementation and trust required for AI in critical decision-making scenarios.

RANK_REASON The item is an opinion piece/question posed by an AI researcher regarding trust in AI systems for emergency response.

Read on Mastodon — sigmoid.social →

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

AI researchers questioned on trust in AI recommendations for emergency response

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The item is an opinion piece/question posed by an AI researcher regarding trust in AI systems for emergency response.
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opinion, safety
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    A question for AI researchers: in a flood, would emergency teams trust an AI recommendation they cannot question? My book pairs flood response learning with SHA

    A question for AI researchers: in a flood, would emergency teams trust an AI recommendation they cannot question? My book pairs flood response learning with SHAP explanations, so teams see not only what to do but why. How do you build trust in your systems? The book: https:// lin…

    LINKS link.springer.com/…/978-3-032-24178-8 link.springer.com/…/978-3-032-24178-8_6 link.springer.com/…/10.1007 link.springer.com/…/10.1

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