Driving Accuracy and Trust in AI Content: A Journalism Perspective | Tom Kremer | CS #21

In this episode of The Offer Letter – Candidate Spotlight, I sit down with Tom Kremer to break down a career path that’s becoming increasingly critical where journalism meets artificial intelligence.Tom brings over a decade of editorial experience before braking into the world of AI, applying principles like accuracy, fairness, and accountability to evaluate and improve AI-generated content. His work sits at the intersection of quality, risk, and trust, areas that are quickly becoming essential as companies scale large language models.We dig into how he identifies hallucinations and bias and talk about some real world examples. How and what actually breaks in AI content workflows, and why many organizations underestimate the importance of editorial rigor when deploying AI.The conversation also explores the growing need for governance, compliance, and structured oversight in AI systems, highlighting where Tom is looking to continue building his career.If you’re a hiring manager thinking about AI risk, content quality, or trust in your systems or a candidate looking to break into this space this episode offers a clear look at what strong, practical AI judgment actually looks like.🔗 Connect with Tom LinkedinTom's Ethic AI Inquiry Interested in Being a Guest?The Offer Letter – Candidate Spotlight is always looking for professionals who want to share their story and experience beyond a resume.WebsiteLinkedIn