Fairness & Bias in AI
A beginner-friendly course called Fairness & Bias in AI examines how data, algorithms, and societal influences can introduce bias into AI systems. In order to create fair and reliable AI systems, learners comprehend the practical effects of biased AI, study fairness principles and metrics, and learn useful strategies like bias detection, pre-processing, in-processing, and post-processing mitigation techniques. A completion certificate, reflection exercises, and real-world examples are all included in the course.
- Provider/Creator: FabriXAI Responsible AI Hub
- Platform: FabriXAI
- Category: Bias mitigation
- Level: Beginner
- Duration: ~1 hr
- Certificate: Yes
- Rating: ⭐ 4.5
- Direct Course Link: Fairness & Bias in AI
- Recommended For: AI beginners, students, data scientists, machine learning engineers, AI developers, business professionals, policymakers, and anyone interested in ethical and responsible AI practices.