Vishal Bhalla

expert panel

As artificial intelligence advances at breakneck speed, the question of trust has become more urgent than ever. How do senior leaders ensure that innovation doesn’t outpace safety—and that every stakeholder, from customers to regulators and employees, retains confidence in rapidly evolving AI systems? Members of the Senior Executive AI Think Tank—a curated group of seasoned AI leaders and ethics experts—are confronting this challenge head-on. With backgrounds at Microsoft, Salesforce, Morgan Stanley and beyond, these executives are uniquely positioned to share practical, real-world strategies for building trust even in regulatory gray areas. And their insights come at a critical moment: A recent global study by KPMG found that only 46% of people worldwide are willing to trust AI systems, despite widespread adoption and optimism about AI’s benefits. That “trust gap” is more than just a perception issue—it’s a barrier to realizing AI’s full business potential. Against this backdrop, the Think Tank’s lessons are not theoretical, but actionable frameworks for leading organizations in a world where regulation lags, public concern mounts and the stakes for getting trust wrong have never been higher.

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The FDA’s new generative AI tool, Elsa, could signal the start of AI-native government operations—streamlining scientific reviews, increasing public transparency, and reshaping how trust is earned in digital-era governance. But as Elsa ushers in new efficiencies, AI leaders warn: Success depends on human oversight, ethical frameworks, and explainable systems.

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Digg’s relaunch brings generative AI into the heart of content moderation, aiming to scale oversight across online communities. But can AI manage trust, context, and nuance without human judgment? Members of the AI Think Tank weigh in on what this move means for the future of digital community governance.

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The UK now officially permits teachers to use generative AI for grading, planning, and communication—signaling a major shift in how education systems embrace automation. Members of the AI Think Tank share where AI can genuinely ease the burden on educators and where human judgment must remain front and center to preserve trust, creativity, and accountability in the classroom.

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AI agents and memory-enabled models promise enterprise transformation—capturing institutional knowledge, automating workflows and making context-rich decisions. But without robust oversight, they pose security, privacy and accountability risks. Members of the Senior Executive AI Think Tank share insights on the risks and rewards of agentic AI in business.

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Artificial intelligence (AI) is revolutionizing cybersecurity, helping businesses detect threats, prevent attacks and respond to incidents faster than ever before. But what happens when cybercriminals start using AI for their own gain? As businesses embrace AI-driven security, experts warn of the risks AI itself introduces. Can organizations strike the right balance between automation and human oversight? AI Think Tank members weigh in on the promise and perils of AI-powered cybersecurity.