Congratulations!

Responsible AI Data Management

Maria Prokofieva

Lead ML engineer

Chapter 1: Responsible data dimensions

Chapter 2: Lawfulness and compliance

• Country/industry specific laws
• Data owner's rights
• Informed consent
• Data use agreements
• Data licensing

Chapter 3: Data sources and integration

• Data sources
• Diversity and representation
• Bias and fairness

Chapter 4: Validation and bias

• Bias and fairness
• Data preprocessing, modeling and post-deployment
• Fairness approaches

What's next?

Start your responsible AI journey!

Congratulations!

Responsible AI Data Management