AI Impacts, Safety, and Futures

This capstone quarter-unit examines real-world AI deployments, synthesizes expert insights on research and safety, and draws key takeaways to anticipate future implications for user experience. Building on earlier foundations, students consolidate skills to evaluate risks, apply best practices, and produce actionable recommendations for ethical, user-centered AI integration.

Learning Objectives

• Analyze real-world AI case studies presented in the unit to identify at least three positive and three negative impacts on user experience and business outcomes
• Apply expert recommendations and lesson takeaways to revise a UX design or prototype, providing a written justification linking changes to specific AI capabilities and user needs
• Evaluate AI safety concerns discussed by experts by assessing potential harms, likelihood, and impact, and propose at least three concrete mitigation strategies aligned with ethical principles
• Synthesize key takeaways and future implications into a strategic roadmap or presentation that forecasts emergent trends, professional responsibilities, and implementation steps for integrating AI into UX practice