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.