Responsible AI Leadership

About the course

AI technologies increasingly mediate our interaction with organizations both private and public, through for example newsfeeds, recommendations, diagnostics, and analytics. With the increased adoption comes also risks associated with lack of transparency, discrimination, manipulation, and dangers to the democratic processes. Thus, increasingly, companies and public agencies must navigate evolving accountability demands and be aware of developing regulation surrounding the use of AI and related technologies.

In this course, combining theoretical foundations from data ethics, law and governance, and real-world inquiry, participants will build their ethical imaginations and skills for responsible use of AI.

Practically, using case studies, participants will explore current applications of quantitative reasoning in organizations, algorithmic transparency, and unintended automation of discrimination via data that contains biases rooted in race, gender, class, and other characteristics. The cases will be considered in the light of existing and proposed regulations in the European Union (EU) such as the General Data Protection Regulation (GDPR), the proposed AI Act and proposed Data Governance Regulation.

The course will also introduce students to the global regulatory landscape, and ongoing efforts to make AI more accountable and work towards sustainable implementations of it.

WHO IS THIS COURSE FOR?

Three main target groups:

• Top executives, technology leaders, legal and compliance managers or senior specialists/advisors, project managers and experienced consultants, especially within technology-intensive companies and/or industries.
• Politicians, bureaucrats and consultants/advisors in public administration (state, county municipality and municipality)
• Managers and advisors working on development and influence (employee, employer and interest organisations)