What’s Next

Below is a quick summary of what you have learned:

• Fairness of AI solutions: You have explored the importance of assessing and mitigating biases in AI systems.

• Explainable AI: You learned how to interpret and understand the decision-making process of AI models, which helps in building trust and accountability.

• Data privacy, safety, and security: Understanding the importance of protecting sensitive data and ensuring secure data handling practices is vital for the Responsible AI development.

• Future innovations: You explored emerging concepts in Responsible AI, such as role of human input in designing AI solution, data annotation and active learning, differential privacy, synthetic data generation etc.