Mitigating AI Bias for Responsible Product Development

Master the essential strategies and tools to identify, mitigate, and prevent AI bias, ensuring the development of fair, accountable, and transparent AI products.

Understanding AI Bias: Sources and Impact

Unit 1: Foundations of AI Bias

Unit 2: Sources of Bias in Detail

Practical Strategies for Bias Mitigation

Unit 1: Data-Centric Bias Mitigation

Unit 2: Algorithmic & Model-Centric Mitigation

Ethical AI and Responsible Development Practices

Unit 1: Foundations of Ethical AI

Unit 2: Implementing Responsible AI Practices

Navigating the AI Regulatory Landscape

Unit 1: Foundations of AI Regulation

Unit 2: Integrating Regulation into Product Dev