Designing Responsible AI

Designing Responsible AI equips students to design AI solutions guided by ethical principles and an understanding of societal impact. By combining AI technology with ethics and design futuring methods, students gain the skills to navigate AI development conscientiously, ensuring they contribute to the advancement of responsible AI applications. The course is structured around three focus areas:

1. Analysis of AI-related ethical issues: Students dissect AI use cases in sectors like healthcare or social networks, focusing on stakeholders, values, ethical risks and concerns. This segment develops their ability to critically and ethically analyze AI technologies.

2. Design futuring for AI systems: This pushes students to envision future AI technologies. They conceptualize near-future AI applications through design fiction, balancing technological advancements with societal needs and ethical considerations.

3. Critiquing AI designs: Students engage in reflections, discussions, assessments, and critiques of AI systems, based on literature and frameworks on ethical AI. This fosters a culture of constructive criticism, which is essential for refining responsible AI systems.

The course emphasizes hands-on AI experience, ethical reasoning, collaborative projects, and expert insights. Students learn to design AI systems that are socially responsible and ethically sound.