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Tag: AI errors

  • Microsoft Security Blog: How to deploy AI safely

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    Kurt Seifried
    in

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/05/29/how-to-deploy-ai-safely/ Source: Microsoft Security Blog Title: How to deploy AI safely Feedly Summary: Microsoft Deputy CISO Yonatan Zunger shares tips and guidance for safely and efficiently implementing AI in your organization. The post How to deploy AI safely appeared first on Microsoft Security Blog. AI Summary and Description: Yes Summary: The text discusses…

  • Cloud Blog: How Looker’s semantic layer enables trusted AI for business intelligence

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/business-intelligence/how-lookers-semantic-layer-enhances-gen-ai-trustworthiness/ Source: Cloud Blog Title: How Looker’s semantic layer enables trusted AI for business intelligence Feedly Summary: In the AI era, where data fuels intelligent applications and drives business decisions, demand for accurate and consistent data insights has never been higher. However, the complexity and sheer volume of data coupled with the diversity…

  • Slashdot: AI Support Bot Invents Nonexistent Policy

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/04/18/040257/ai-support-bot-invents-nonexistent-policy?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Support Bot Invents Nonexistent Policy Feedly Summary: AI Summary and Description: Yes Summary: The incident highlights the risks associated with AI-driven support systems, particularly when misinformation is disseminated as fact. This has implications for user trust and can lead to direct financial impact through subscription cancellations. Detailed Description:…

  • Hacker News: AI Mistakes Are Different from Human Mistakes

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Hacker News Title: AI Mistakes Are Different from Human Mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the unique nature of mistakes made by AI, particularly large language models (LLMs), contrasting them with human errors. It emphasizes the need for new security systems that address AI’s…