Protecting Sensitive data real time and behavioral AI

Trustworthy AI : De-risk business adoption of AI

In this dialog Dr. Damodar Shah and Pamela talk about Data Privacy, Synthetic Fraud, and behavioral AI and how these are important now and impact on our future. We discuss the problem and solutions for safeguarding sensitive data that is being created in excessive volume by smart devices, social media and other means.

One of the Trusted AI essential trustworthy AI pillars , cybersecurity is a double edged sword. It includes protecting threats to AI and threats from AI. We have to ensure the environment they are built in is secure. Second we have to ensure we are not creating unintended threats and or consequences by these systems such as through exposing highly sensitive data.

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

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