Required readings on AI applications across different domains

An analysis of automated text evaluation tools, surface feature proxies, and the systemic risks of algorithmic grading in high-stakes education.

Evaluating the integration of LLMs as Socratic dialogue partners, the systemic challenges of math calculations, and the socio-economic substitution risks.

Examining remote surveillance software, computer vision anomalies, civil liberties violations, and the Fourth Amendment room-scan ruling.

Analyzing early-warning learning analytics, demographic risk encoding, and the self-fulfilling feedback loops of advisor resource allocation.

Explore the conceptual foundations and societal implications of artificial intelligence.

Course assignments, activities, and project milestones for the AI and Society course

Recommended resources for the AI and Society course

Weekly schedule for the AI and Society course

Required and recommended readings for each week of the AI and Society course