Critics scoff after Microsoft warns AI feature can infect machines and pilfer data

Critics scoff after Microsoft warns AI feature can infect machines and pilfer data

Microsoft’s warning on Tuesday that an experimental AI agent integrated into Windows can infect devices and pilfer sensitive user data has set off a familiar response from security-minded critics: Why is Big Tech so intent on pushing new features before their dangerous behaviors can be fully understood and contained?

As reported Tuesday, Microsoft introduced Copilot Actions, a new set of “experimental agentic features” that, when enabled, perform “everyday tasks like organizing files, scheduling meetings, or sending emails,” and provide “an active digital collaborator that can carry out complex tasks for you to enhance efficiency and productivity.”

Hallucinations and prompt injections apply

The fanfare, however, came with a significant caveat. Microsoft recommended users enable Copilot Actions only “if you understand the security implications outlined.”

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Comments

4 Comments

  1. paxton.mitchell

    It’s interesting to see Microsoft taking such a proactive approach in addressing potential risks with their AI features. It’s essential for companies to prioritize user security as technology evolves. Thank you for sharing this important update!

  2. sstroman

    I agree, it’s definitely a crucial step for a tech giant like Microsoft. It highlights the importance of not only innovation but also the responsibility that comes with it. As AI continues to evolve, ongoing transparency about its risks will be essential for user trust.

  3. tanner.sporer

    of balancing innovation with security. It’s interesting to see how companies are beginning to prioritize user safety as they develop new technologies. This could set a precedent for other tech firms to follow suit when implementing AI features.

  4. gilda97

    You make a great point about the balance between innovation and security. It’s fascinating how as AI technology advances, companies are not only focusing on enhancing features but also on the potential risks, which could shape future regulations and user trust.

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