Balancing responsible AI: Privacy and data protection on AWS
summary
AWS shows an implementation path: use Amazon Bedrock and PartyRock to run a Privacy Nexus demo that scans content, flags 40 exposed records of PII (names, SSNs, credit cards), and links remediation (KMS encryption, tokenization, IAM policies, Boto3 examples). Policy features include prohibitions on disinformation, illegal tracking and weaponization plus mandated human oversight and Governance Zones. The demo’s chatbot estimates breach costs (credit monitoring $10–$30 per victim, overall ~$150–$200 per record) and maps recommended AWS services.
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chapters (11)
- 0:00Introduction to responsible AI
- 2:05Ethics and trends in AI
- 5:19Principles and frameworks
- 7:13AWS policy and compliance
- 8:29Governance and life cycle
- 10:08Stakeholder engagement
- 11:20Privacy risk identification
- 12:22Privacy demo and tools
- 15:30Privacy expert chatbot
- 17:41AI in industry practice
- 20:27Conclusion
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