This course critically explores the ethical dimensions and societal implications of artificial intelligence (AI) in shaping sustainable and regenerative futures. You will examine prevailing narratives and ideologies associated with AI, investigating alternative frameworks centered on sustainability, justice, and responsible innovation.

Key topics include transparency, explainability, data privacy, algorithmic bias, and fairness within AI systems. You will also explore how AI intersects with environmental and social issues -including impacts on employment, inequality, education, and ecological systems.

Through interdisciplinary perspectives and creative methodologies, you will engage with real-world challenges, developing critical thinking skills to question dominant technological paradigms and propose constructive, context-aware alternatives. The course combines theoretical frameworks with practical projects, empowering students from diverse backgrounds to contribute to equitable, sustainable, and responsible AI futures.

This course is designed to be accessible for students from all disciplines and does not require prior knowledge of artificial intelligence or technical tools. Activities and assessments are grounded in ethical inquiry, systems thinking, and creative problem solving.

This course is an option course in the Regenerative Futures minor.