Responsible AI Leadership
In this course, participants will explore the ethical, normative, and societal implications of AI and mechanisms to ensure that AI systems remain accountable and advance the social good.
- Credits: 15
- Price: 50,200 NOK
- See schedule
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)
- Foundations of AI and Data Governance
- The Nature of Intelligence
- The History and Core Concepts of Artificial Intelligence
- Recent Developments and Impact of Artificial Intelligence
- The AI Life Cycle
- The Nature and Pitfalls of Data
- Navigating the Realites and Tradeoffs in Data Science
- Practices of Responsible AI Leadership
- Al Accountability, Transparency and Explainability
- AI Risk Management
- AI and Global Perspectives
- AI and Public Service Perspectives
- Governance frameworks for AI Implementations
- AI Regulations and Governance
- Risks and Benefits of Regulation
- Regulations governing AI
- Regulation through AI
- Upcoming regulatory developments
- Participation in Regulation – AI Sandboxes
- AI for Good
- Open-Sourcing and Communities of Practice
- AI Impact AssessmentCo-Design and Stakeholder Engagement with and around AI
- Tackling Grand Challenges with AI
Samson Yoseph Esayas
The program is implemented with 4 sessions over a semester, with a total of approx. 75 hours.
The supervision offer will be somewhat different in the various Executive Master of Management Programs. Personal guidance and guidance will be given during the lecture. In general, students can expect advisory guidance, not evaluative guidance. The guidance offer is estimated at 2 hours per. task.
Teaching language is English.
Read the admission requirements for this programme.
The students are evaluated through a project assignment that counts for 60% of the total grade and an individual 72-hour home exam that counts for 40%. The project assignment can be written individually or in groups of up to three people. All exams must be passed for diplomas in the program to be awarded.
Oslo: Fall 2023
Start up webinar: 13.09
Module 1: 11.10 - 12.10
Module 2: 22.11 - 23.11
- Credits: 15
- Price: 50,200 NOK