What you will learn

• Discuss responsible AI principles and their significance in technology, including ethical considerations, fairness, transparency, and accountability.

• Apply techniques to identify, address, and mitigate bias in AI algorithms and data, promoting fairness and inclusivity in AI systems.

• Interpret and explain AI decisions, balancing accuracy and explainability to foster trust and accountability in AI systems.

• Discuss accountability, ethical AI governance, privacy considerations, security measures in the development & deployment of responsible AI systems.