معرفی
Jerry Kaplan is a Lecturer and Research Affiliate at Stanford University specializing in the societal implications of artificial intelligence, with over 35 years of experience as a serial entrepreneur and technical innovator. He teaches cross-disciplinary courses including INTLPOL 200, SYMSYS 122, CS 22A, and ENVRES 398, focusing on AI's transformative effects on labor markets, economic structures, and public policy. As a bestselling author and media-featured expert, he bridges academic research with real-world technological challenges.
His academic credentials include:
- BA in History and Philosophy of Science from the University of Chicago
- PhD in Computer Science from the University of Pennsylvania
Kaplan's research critically examines how artificial intelligence disrupts traditional employment models, exacerbates wealth inequality, and necessitates new governance frameworks. He advocates for proactive socioeconomic policies to ensure equitable distribution of AI-driven productivity gains, emphasizing ethical deployment and workforce adaptation strategies. His interdisciplinary approach integrates computer science, economics, and philosophy to address systemic challenges in automation.
Key scholarly contributions include the influential books "Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence" (Yale University Press, 2015) and "Artificial Intelligence: What Everyone Needs to Know" (Oxford University Press, 2016), which have shaped public discourse on technological unemployment and AI ethics through extensive coverage in The New York Times, The Wall Street Journal, and Forbes.
