Understanding and Prioritizing Data Privacy

Introduction

• Protect personal information and foster trust
• Privacy overview and basic definitions
• Privacy vs. data protection

1. Getting Comfortable with the Basics

• Data tells a story
• Data as intellectual property
• PII vs. PI vs. Personal Data
• Privacy vs. secrecy
• Integrating ethical AI reviews into your privacy practice

2. Why Should Anyone Care About Privacy?

• Data as a personal descriptor
• The organization’s perspective
• Privacy is contextual
• Trust, integrity, and ethical inputs and outcomes
• Gaining and maintaining or repairing consumer trust
• Consumers want transparency

3. What's the Harm? Does Privacy Matter in the Age of AI?

• Protecting the story
• Vulnerability impacting a system
• Bad actors with data
• Response and repair after an incident
• Data is valuable and creates new economies

4. Privacy Solutions and Futures

• Trust, transparency, ethics, and accountability
• Planning for privacy as a company
• Understanding individual responsibilities in data privacy
• Embracing privacy engineering for effective data protection
• Moral crumple zones: Responsible building and ethics
• Emerging privacy technology
• PETS

Conclusion

• Guardians of trust