How does Trustworthy AI help De-risk business adoption of AI?

Trustworthy AI : De-risk business adoption of AI

Can Trustworthy AI help De-Risk adoption of AI?
What does it mean. In this podcast we reversed roles. Da-Wyone Haynes is the guest but he is the one posing questions to the host, Pamela Gupta.

‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?

Trusted AI’s Pamela Gupta defined 8 Essential pillars of Trustworthy AI, and a way to operationalize AI Governance, four years before NIST published their AI Risk Management Framework.

The 8 Pillars are Security, Privacy, Transparency, Explainability, Audit, Regulations, Accountability and Ethics.

In this episode we talk about some examples of AI initiatives that failed due to lack of a trustworthy pillar.

At Trusted AI specializes in operationalizing AI Trust and Risk management across ai adoption. product development and data life cycles. We create process and technology that helps mitigating risk and identifying growth opportunities through proven approaches.

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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