Eye on AI

Eye on AI is a solo-format educational podcast hosted by Aria Knight, who explains AI topics directly to listeners without guest interviews or panel discussion. Each episode centers on one theme or case study rather than a broad survey, covering areas like algorithmic bias, blockchain's use in supply chains and health records, industrial predictive maintenance, and leaked or unreleased AI features at companies like TikTok. Recurring subject matter includes AI ethics (bias, privacy erosion, job displacement), AI regulation such as EU proposals to ban social scoring and behavior manipulation, and applied AI across finance, healthcare, manufacturing, and social media. Episodes cite specific organizations and research to support their claims, including Amazon's recruitment-tool bias case, the Brookings Institution's automation studies, and Rolls-Royce's engine health monitoring. There is no recurring guest roster; Aria Knight is the consistent voice throughout, occasionally referencing outside figures like the coder AssembleDebug or historical figures like Satoshi Nakamoto as case-study subjects rather than interviewees. Episode length swings widely between short updates of a few minutes and more developed explainers past 20 minutes, suggesting a mix of quick-take and deep-dive formats. The tone is explanatory and educational rather than debate-driven or opinion-heavy. Some episodes reference IT and cybersecurity compliance sponsors. The show suits listeners looking for accessible, single-topic AI explainers grounded in named companies and incidents rather than technical or academic depth.