Summary In today's episode, I answer whether replacing mid-career staff with AI risks losing institutional knowledge and explain why your corporate knowledge bases always miss the failure history that actually lives in your employees' heads. Here's what this means for you. You discover that AI systems inherit hidden survivor bias when you train them on…
Summary In today's episode, I explain how to prevent instruction drift and maintain grading consistency when using ChatGPT. Here's what this means for you. You can achieve fair and reliable results for every student by refining your AI workflow. You'll also learn these concepts: why chat history creates cross-contamination, how automation tools solve grading drift,…
Summary In today's episode, I sit down with Stephanie Francis, founder of Hootology, to explore how generative AI is transforming market research by quantifying qualitative insights. Here's what this means for you. You'll see how blending AI-driven analysis with real human respondents can reveal trends and outliers that traditional surveys often miss. You'll also learn…
Summary In today's episode, I walk through hands-on benchmark testing of AI bias across three large language models using identical prompts that differ only by gender-coded names. Here's what this means for you. You'll gain a repeatable testing framework you can apply to any AI tool to detect protected-class bias before it poisons your outputs.…
Summary In today's episode, I investigate the limitations and inherent biases of creating digital twins through generative AI. Here's what this means for you. You will understand why public data alone cannot accurately replicate a person's complex thinking and identity. You'll also learn these concepts: how missing private information creates statistical bias, why survivorship bias…
Summary In today's episode, I walk through how multilayer perceptrons refine the rough draft inside a language model using a newspaper room analogy. Here's what this means for you. You gain a clear understanding of why specific style and tone instructions in your prompts prevent bland, generic AI output. You'll also learn these concepts: how…
Summary In today's episode, I moderate a debate between two AI-generated characters who argue the ethics of artificial intelligence across topics like copyright, bias, employment, and user data rights. Here's what this means for you. You gain a balanced look at both the enthusiastic and skeptical arguments surrounding AI so you can form your own…
Summary In today's episode, I explain why large language models like ChatGPT struggle to provide factual information and credible sources. Here's what this means for you. You'll understand the gap between statistical patterns and actual truth, and which tools can give you more reliable answers. You'll also learn these concepts: how LLMs learn statistical relationships…
Summary In today's episode, I explore why excluding your content from AI training might backfire in unexpected ways. Here's what this means for you. You may inadvertently reduce your brand visibility in AI outputs and worsen existing biases if you opt out. You'll also learn these concepts: why showing up everywhere in public text helps…
