Applied AI in Human Working Environments
Tyson Riskas, PhD
Matt North, edD
This resource introduces business undergraduates and MBA students to artificial intelligence as a practical problem-solving tool, with no advanced programming or math background required. The text opens with AI's history, from Turing's foundational questions through the Dartmouth proposal and the AI Winter, then moves into applied skills, including prompt engineering, data preparation, model training, and AI ethics and governance. Students work through the full development life cycle: identifying a real organizational problem, gathering and preparing data, building and customizing an AI tool, and analyzing its impact. They leave with hands-on experience applying AI to genuine business challenges.
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