By the conclusion of the seminar, participants will be able to:
Lead conversations about ethical issues concerning AI across diverse stakeholder groups and translate ethical reflection into effective action.
Apply practical frameworks for ethical judgment to organizational strategy, product development, governance, and public leadership.
Draw on religious, philosophical, and humanistic traditions to inform ethical decision-making in AI contexts.
Identify the most significant ethical, social, and cultural challenges posed by contemporary AI systems.
Recognize how narratives, assumptions, and values shape the design, deployment, and governance of AI technologies.
Participants will receive a Harvard Divinity School certificate of completion at the end of the seminar.
Artificial intelligence (AI) is transforming society faster than our ethical frameworks can keep pace. This three-day executive seminar offered by Harvard Divinity School (HDS) introduces leaders from technology, business, government, and civil society to religious, philosophical, and humanistic perspectives on the ethical challenges and opportunities posed by artificial intelligence.
Reflecting Harvard Divinity School’s distinctive commitment to religious pluralism, the course draws on diverse traditions and worldviews to explore questions of human dignity, responsibility, justice, meaning, and flourishing in an AI-driven world.
More than an exploration of ethical theory, the seminar equips participants with actionable tools for ethical decision-making, governance, and leadership, enabling them to translate moral reflection into responsible action within their organizations and across the broader AI ecosystem.
*The cost of the seminar is $6,850. This is inclusive of a three-night stay at the Atlas Hotel and daily meals. Travel and transportation are not included.
Program Location
January 11–13, 2027
David Rubenstein Treehouse at Harvard University
Boston, Massachusetts
A welcome reception will be held at the Atlas Hotel on Sunday, January 10, at 7:00 p.m.
Monday, January 11
Tuesday, January 12
Wednesday, January 13
Schedule is subject to change.
