Summary
What is AI?

• Machine learning
• Anomaly detection
• Computer vision
• Natural language processing(NLP)
• Conversational AI

Challenges and risks with AI

• Bias can affect results
• Errors may cause harm
• Data could be exposed
• Solutions may not work for everyone
• Users must trust a complex system
• Who's liable for AI-driven decisions?

Understand responsible AI

• Fairness
• Reliability and safety
• Privacy and security
• Inclusiveness
• Transparency
• Accountability