Understand responsible AI

• Fairness - Without incorporating any bias based on gender, ethnicity, or other factors
• Reliability and safety - Must be subjected to rigorous testing and deployment management processes to ensure that they work as expected before release
• Privacy and security
• Inclusiveness - Empower everyone and engage people
• Transparency - Fully aware of purpose of system, how it works, and limitations
• Accountability - Designers and developers should work within a framework of governance and organizational principles