Thinking Ahead About AI Security and Privacy
summary
Forecasts rapid 5G-driven sensor growth and says AI must be governed with concrete controls: a five-category framework (policy, org/personnel, process/design, technology, verification) and seven governance aspects (system security, transparency, privacy, fairness, data management, competence, deployment assurance). Gives concrete risks—autonomous-vehicle evasion attacks that cause crashes and voice-cloning fraud—and prescribes tools and practices: privacy impact and cybersecurity risk assessments, NIST-style testing, security tracks and certifications, and a global cyber office with authority to stop deployment when requirements fail.
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chapters (15)
- 0:00Introduction
- 1:20What have happened in the last 2 years
- 3:19Agenda
- 4:08AI definition
- 5:05How AI is used
- 10:08Challenges
- 10:37Technical Reliability
- 11:53Societal Application
- 13:14Legal Requirements
- 17:59AI Security Privacy Framework
- 20:26Roles and Responsibilities
- 22:23Product and Service Compliance
- 23:23Corporate Compliance
- 24:00Standard Specifications
- 24:25Conclusion
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