TECH 50 — Demystifying AI: Insights from the Stanford Institute for Human-Centered Artificial Intelligence
Quarter: Fall
Instructor(s): Sha Sajadieh
Date(s): Sep 29—Nov 17
Class Recording Available: Yes
Class Meeting Day: Tuesdays
Grade Restriction: No letter grade
Class Meeting Time: 6:00—7:30 pm (PT)
Tuition: $590
Refund Deadline: Oct 1
Unit(s): 1
Status: Registration opens Aug 17, 8:30 am (PT)
Artificial intelligence is advancing rapidly across many domains, including science, business, and public policy. This course offers a data-driven introduction to how AI is evolving globally, grounded in insights from the AI Index report, Stanford HAI’s independent annual assessment of worldwide AI trends.
Students examine how advances in technical performance intersect with investment patterns, workforce transformation, energy use, and emerging governance frameworks. Rather than focusing on speculation, the course emphasizes measurable indicators of where AI adoption is accelerating, where risks and gaps persist, and how institutional and policy choices shape outcomes.
Topics include global investment and compute concentration, labor and productivity effects, safety benchmarks, incidents, and the evolving regulatory landscape across regions. Drawing on data, case studies, and expert perspectives, the course equips participants to critically interpret AI claims and engage thoughtfully with the decisions shaping its future.
Students examine how advances in technical performance intersect with investment patterns, workforce transformation, energy use, and emerging governance frameworks. Rather than focusing on speculation, the course emphasizes measurable indicators of where AI adoption is accelerating, where risks and gaps persist, and how institutional and policy choices shape outcomes.
Topics include global investment and compute concentration, labor and productivity effects, safety benchmarks, incidents, and the evolving regulatory landscape across regions. Drawing on data, case studies, and expert perspectives, the course equips participants to critically interpret AI claims and engage thoughtfully with the decisions shaping its future.