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Unveiling the Under-reported Aspects of AI


The conversation around AI/ML is everywhere, but it often leads to confusion and misconceptions. In the most recent episode of Netskope’s Security Visionaries podcast, we discussed the importance of AI transparency - a cornerstone for cultivating public trust and enabling individuals to make well-informed decisions about AI risks. We believe it's time for organizations to embrace openness and transparency about their AI models. For example, organizations should be prepared to answer:

  • What's the data used to train a model? Does it include customer data?
  • What inputs does the model rely on?
  • What outputs does the model generate, and how are they used in the product?
  • What are the limitations and accuracy of the model?


Let's work together to demystify the complex landscape of AI, fostering greater understanding and trust in this transformative technology.

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