A curated selection of undergraduate and graduate degrees designed to bridge the gap between technical AI understanding and ethical governance. These programs equip students with the legal, philosophical, and strategic tools necessary to shape responsible artificial intelligence development and deployment.
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This interdisciplinary program focuses on the intersection of technology, policy, and ethics. Students gain deep insights into regulatory frameworks and governance structures, preparing them for leadership roles in both government agencies and private tech sectors.
Offering a specialization in Artificial Intelligence, this degree includes coursework on the societal impacts of AI. It is ideal for professionals seeking to understand the technical foundations while addressing ethical considerations and policy implications in high-stakes environments.
This program provides a rigorous foundation in ethical theory applied to modern challenges, including AI and biotechnology. Students learn to navigate complex moral dilemmas, making it a strong choice for those aiming to lead ethics boards or policy initiatives.
Focusing on the philosophical underpinnings of technology, this degree explores how ethical frameworks apply to emerging digital tools. It attracts students interested in critiquing and shaping the normative standards that guide AI research and development.
This specialized master's degree covers data protection, intellectual property, and the legal implications of AI. It is particularly relevant for careers in regulatory compliance, ensuring that AI systems adhere to international and regional legal standards.
With a focus on the business and policy side of technology, this degree helps students manage AI implementations responsibly. It bridges the gap between technical teams and executive leadership, emphasizing governance, risk management, and ethical decision-making.
This program examines the historical and social contexts of technological change, including AI. Students analyze how technology shapes society and vice versa, preparing them for roles in public policy analysis, advocacy, and academic research.
Offering a concentration in Social and Behavioral Sciences, this degree teaches students to apply data science responsibly. It focuses on privacy, fairness, and transparency, equipping graduates to audit algorithms and ensure equitable AI outcomes.
This interdisciplinary program combines technical knowledge with social science methods to study AI governance. Students engage with policy issues related to automation, surveillance, and algorithmic bias, preparing for careers in think tanks and NGOs.
With a track in Technology Policy, this degree addresses the global regulatory landscape for AI. It is suited for students interested in international relations, focusing on how different countries approach AI safety, security, and ethical standards.
This program explores the societal implications of information technologies, including AI ethics and data governance. Students learn to design systems that are fair and accountable, making them valuable assets for tech companies and regulatory bodies.
Offered through the Law School, this degree provides specialized training in the legal aspects of AI and digital platforms. It is ideal for legal professionals aiming to draft regulations or advise corporations on compliance with emerging tech laws.
While technical, this program includes modules on the ethical and social impacts of intelligent systems. It appeals to students who want to build AI while understanding the philosophical questions regarding consciousness, agency, and responsibility.
This advanced program allows for specialization in the ethics of science and technology. It provides a deep theoretical foundation for analyzing the moral dimensions of AI, suitable for careers in academia, think tanks, and high-level policy advisory.
This degree includes a strong component on the responsible innovation of AI technologies. Students learn to integrate ethical considerations into the design and deployment of AI systems, preparing them for leadership roles in innovation labs and policy units.
Focusing on the human side of AI, this degree teaches students to design systems that respect human values. It emphasizes participatory design and ethical user research, making it essential for creating AI tools that are transparent and user-centric.
This interdisciplinary degree examines the social construction of technology, including AI. Students analyze how societal values influence technological development, preparing them for roles in public engagement, policy analysis, and science communication.
With a focus on technology policy, this degree prepares students to analyze and design regulations for AI. It combines quantitative methods with policy theory, ideal for those seeking to work in government agencies or international organizations.
This part-time degree allows professionals to specialize in technology law and ethics. It provides a comprehensive understanding of legal frameworks governing AI, making it suitable for lawyers, compliance officers, and policy advisors in the tech industry.
Offering a concentration in Social and Behavioral Sciences, this degree emphasizes the ethical use of data and AI. Students learn to identify and mitigate bias in algorithms, ensuring that data-driven decisions are fair and equitable.