
Senator Mike Rounds (R-SD): Sen. Rounds' 2025 Message: Why Every Senate Committee is Talking AI This Congress
In AI We Trust?Show Notes
In this episode of #InAIWeTrust, Senator Mike Rounds (R-SD) discusses the transformative role of AI and the Senate’s efforts to support its innovation and development. From working to advance AI-driven health care solutions to ensuring U.S. leadership in innovation, he shares legislative priorities and insights from the Senate AI Insight Forums and underscores the importance of AI literacy and collaboration across industry, reminding us: “AI is real, it’s here, it’s not going away.”
More from In AI We Trust?
At EqualAI's Preparing America for the AI Economy summit, Sal Khan, Founder & CEO of Khan Academy, joined Miriam Vogel, President & CEO of EqualAI, for a fireside chat on how AI is changing teaching and learning. Sal and Miriam explore how AI can augment teachers, personalize learning, and prepare students for an AI-driven workforce, including through innovations like Khanmigo, Khan Academy's AI tutor. Sal breaks down two years of real-world classroom data, explaining how thoughtful AI guardrails keep students accountable rather than doing the work for them, and he discusses how blanket school bans risk widening the divide for low-income students who rely on schools for AI literacy.
How do you embrace AI to transform your operations without losing the public trust that keeps journalism alive? At EqualAI's Preparing America for the AI Summit, Miriam Vogel spoke with Nicholas Thompson, CEO of The Atlantic about how news leaders can navigate the AI boom by balancing pragmatic business deals, public dialogue and AI literacy. Nicholas shares how one of America's oldest media institutions uses AI behind the scenes to support journalists' workflows and analyze subscription data, while strictly keeping AI out of the newsroom to protect editorial integrity. Together, they discuss why human judgment and messiness remain journalism's greatest assets in an automated world.
What does it take to get society ready for AI? On this episode of In AI We Trust, EqualAI President & CEO Miriam Vogel talks with Google DeepMind's: Lila Ibrahim, Chief AI Readiness Officer, and Lucy Calcott, AI Deployed Engineer. Lila explains why she took on a new C-suite role focused on readiness after serving as COO, and why success depends on managing risk, broadening access and building AI literacy through partnerships across sectors and borders. Lucy shares how AI is reshaping global affairs and young people's careers, and how it can speed up research and improve education and health care in underserved communities. Together, they discuss how to deploy AI so it strengthens our uniquely human skills, and how to co-create a better future.
On this episode of In AI We Trust?, EqualAI President and CEO Miriam Vogel speaks with Paula Goldman, Salesforce’s Chief Ethical and Humane Use Officer and EVP of Product. In anticipation of Paula’s forthcoming book Manage the Machine: How to Harness Human AI Collaboration at Work, they discuss how AI can be designed and used in a way that centers and strengthens human judgment and human connection. The end goal is to expand accessibility and improve people’s experiences across domains, including HR, customer service, and marketing.
In this episode, EqualAI President and CEO Miriam Vogel interviews Yoel Roth, Senior Vice President of Trust and Safety at Match Group and EqualAI Board Member. Yoel shares how trust and safety operations function as an enterprise growth engine rather than a mere cost center. He outlines five categories of online harm—physical, emotional, informational, economic, and societal—and discusses how his team addresses these challenges on popular dating apps used by millions worldwide. He describes how AI can be used to help enable human connection and support the work of trust and safety professionals, emphasizing the need for a measured, human-supervised approach to ensure AI is deployed with good governance in place and that decisions impacting users are made fairly, consistently, and accurately.