ChatGPT Security: Privacy risks & Data Protection basics Syllabus

Overview (80-120 words) describing structure and time commitment.

Module 1: Introduction to AI Privacy and Security

Estimated time: 3 hours

• Overview of ChatGPT's capabilities and potential risks in a corporate setting
• Understanding data confidentiality and privacy in AI interactions
• Identifying common privacy threats when using generative AI
• Foundations of secure AI adoption in organizations

Module 2: Legal and Regulatory Frameworks

Estimated time: 4 hours

• Key provisions of GDPR, CCPA, and HIPAA as they relate to AI tools
• Compliance requirements for processing personal data with ChatGPT
• Roles and responsibilities under data protection laws
• Strategies for maintaining regulatory compliance in AI deployments

Module 3: NIST AI Risk Management Framework

Estimated time: 4 hours

• Principles of validity, reliability, safety, and fairness in AI systems
• Implementing risk assessment processes for AI integration
• Ensuring explainability and interpretability of AI outputs
• Applying the NIST framework to real-world AI governance

Module 4: Data Protection Best Practices

Estimated time: 4 hours

• Techniques for data anonymization and pseudonymization
• Applying data minimization principles in AI workflows
• Privacy by design in AI system development and deployment
• Handling sensitive data securely when interacting with ChatGPT

Module 5: Secure Prompting Techniques

Estimated time: 3 hours

• Developing prompts that avoid exposure of sensitive information
• Recognizing and avoiding common data leakage pitfalls
• Best practices for crafting secure and effective prompts
• Testing and validating prompt safety

Module 6: Ethical AI Usage

Estimated time: 3 hours

• Identifying and mitigating harmful biases in AI outputs
• Promoting fairness, accountability, and transparency
• Ethical considerations in enterprise AI adoption

Module 7: Case Studies and Real-World Applications

Estimated time: 4 hours

• Analysis of successful ChatGPT implementations in corporate environments
• Review of data breach incidents involving AI tools
• Lessons learned and actionable security improvements

Module 8: Final Project

Estimated time: 5 hours

• Develop a ChatGPT security policy for a hypothetical organization
• Apply regulatory compliance checks based on GDPR, CCPA, or HIPAA
• Submit a risk mitigation plan using the NIST AI framework

Prerequisites

• Familiarity with basic data protection concepts
• Understanding of organizational IT policies and compliance requirements
• Basic knowledge of AI or machine learning is helpful but not required

What You'll Be Able to Do After

• Understand the privacy and confidentiality risks of using ChatGPT in corporate settings
• Implement data protection best practices such as anonymization and data minimization
• Navigate key regulations including GDPR, CCPA, and HIPAA in AI contexts
• Apply the NIST AI Risk Management Framework to real-world scenarios
• Develop secure prompting strategies to protect sensitive data