Media

Generative AI Ethics — A guided discussion on whether responsibility is scaling at the same rate as AI capability. Topics include reliability (hallucinations, coherence vs. correctness, and why verification remains human); over-reliance and automation bias; bias amplification in training data and deployment; intellectual property and fair use; environmental cost of data centers and AI’s influence on energy planning; security and misinformation, including deepfakes and erosion of trust; economic disruption and workforce adaptation; and governance—regulatory frameworks, enterprise controls, and the need for responsibility to scale with power.

AI at Work: Job Killer or Job Shifter? — This presentation, created for ASU’s CIS 565 AI in Business course, argues that AI eliminates tasks rather than jobs and pushes human judgment to the center of work. It covers why AI excels at prediction, how work actually changes (inputs, AI output, human judgment, outcomes), and examples from customer support, healthcare, and fraud detection. It also addresses leadership in an AI-assisted world and where accountability lies when AI fails.