Artificial Intelligence: Benefits and Risks

Who it’s for: managers, analysts, team leads, instructors, and any curious professional who needs to make real decisions about AI – buying it, deploying it, governing it – without first becoming a data scientist. No programming. No math beyond what you learned in school.

What’s inside:

• Where AI actually came from – Deep Blue, the Turing Test, the AI winters and summers of the last 70 years
• How machine learning, deep learning, and generative AI actually work, explained without equations
• How to read a model’s evaluation metrics – precision, recall, the confusion matrix – the way you’d read a P&L
• A sector-by-sector look at real benefits and real risks in finance, healthcare, education, employment, justice, and media, with sourced case studies
• A practitioner’s playbook: a full worked project, generative AI in practice, and how to bring AI into an organization without losing control of it
• Appendices with hands-on tutorials in Orange (free, visual, no-code) and Excel, plus discussion questions for teams and classrooms
• 200+ pages, including useful diagrams.

For those who want to go further, here’s a simple AI toolkit that pairs with the book.