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This course delves into the essential topics of gender, diversity, and fairness in artificial intelligence (AI), aiming to equip students with the knowledge and skills needed to create inclusive, unbiased, and trustworthy AI systems. Students will explore various types of bias that can occur in AI and understand their impact on society. The course covers strategies and methodologies to mitigate bias in AI models, providing hands-on experience in applying these approaches to real-world systems. Additionally, students will learn about the importance of developing AI that reflects the values of a diverse society and promotes fairness, ensuring their work aligns with emerging laws and policies. By the end of the course, participants will be well-prepared to identify and address bias in AI, contributing to the development of ethical and equitable AI technologies.
Course Content:
- Introduction to Bias in AI
- Types of Bias (Gender, Racial, Socioeconomic, etc.)
- Societal Impact of Bias in AI
- Methodologies for Mitigating Bias in AI Models
- Inclusive and Diverse AI System Design
- Ethical AI Development Practices
- Fairness in AI: Definitions and Concepts
- Policy, Legal, and Regulatory Frameworks for Fair AI
- Case Studies: Biased AI Systems and Mitigation Strategies
- Hands-on Lab: Applying Fairness Algorithms to Real-world AI Systems
Admission Requirements
- PhD students or individuals holding a Norwegian master's degree (five years, 300 ECTS) or equivalent.
- Applicants should have programming skills in Python and hands-on experience with deep learning.
The course is supported by the Digital Life Norway Research School and there are a limited number of travel grants available for our members.
Contact course coordinator: