AI Ethics, Trust, and Policy

For human history, knowledge was scarce. The internet made it abundant, and now AI is making expertise available on demand. If a chatbot can answer hard math questions or write in-depth reports, why spend years learning to do it yourself? Because learning isn't just about collecting facts. It's about judgment and pattern recognition. In a world where answers are cheap, good questions become priceless. The future belongs to those who know what to do with what they know.

At the CHS AI Teaching Summit at VCU, the Media + AI Initiative served as a major sponsor, helping support a full day of faculty conversations, workshops, and student perspectives on AI in higher education. In this post, I reflect on why sponsoring events like this is a core part of our Strategic Plan—connecting classroom innovation, faculty development, and cross-campus collaboration into real practice.

Advertising is entering a new era thanks to AI. Tools are no longer just assisting with targeting or copy generation. Increasingly, they are learning, adapting, and optimizing campaigns in real time. For advertising professionals, this raises an important question: what happens when ads are no longer static outputs, but self-improving systems? What does this mean for viewers? Advertising Has Always Been About Attention Any advertiser will tell you that advertising has always

AI is reshaping journalism from production to distribution, raising a critical question: what happens when efficiency becomes the default standard for storytelling? This post explores new research showing gains in speed and accuracy, alongside declines in context and depth, and what that means for audience trust, discovery, and the future role of journalism in an AI-driven information ecosystem.