Explore the critical aspects of AI ethics and learn how to develop responsible artificial intelligence systems. This course addresses the ethical challenges, bias mitigation, fairness, transparency, and accountability in AI applications, essential for any AI practitioner in today's landscape.

What You'll Learn

• Fundamental principles of AI ethics
• Understanding and detecting bias in AI models
• Fairness metrics and bias mitigation techniques
• Privacy considerations in machine learning
• Explainable AI (XAI) and model interpretability
• Regulatory compliance and AI governance
• Social impact assessment of AI systems
• Best practices for responsible AI development

Course Features

• 35 hours of video content
• 12 case study analyses
• Interactive ethics scenarios
• Certificate of completion
• Expert panel discussions

Prerequisites

Basic understanding of machine learning concepts. This course is suitable for technical professionals, managers, and anyone involved in AI decision-making processes.