Last year, we trained a model on customer data. A researcher showed they could reconstruct customer information from model outputs. After implementing privacy-preserving techniques across 10+ projects, I’ve learned how to protect sensitive data while enabling AI capabilities. Here’s the complete guide to privacy-preserving AI. Figure 1: Privacy-Preserving AI Techniques Overview Why Privacy-Preserving AI Matters: […]
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AI Governance Frameworks: Implementing Responsible AI
Three years ago, our AI system made a biased hiring decision that cost us a major client and damaged our reputation. We had no governance framework, no oversight, no accountability. After implementing comprehensive AI governance across 15+ projects, I’ve learned what works. Here’s the complete guide to implementing responsible AI governance frameworks. Figure 1: Comprehensive […]
Read more →AI Security Best Practices: Beyond Prompt Injection
Last year, our AI application was compromised. Not through prompt injection—through model extraction. An attacker downloaded our fine-tuned model in 48 hours. After securing 20+ AI applications, I’ve learned that prompt injection is just the tip of the iceberg. Here’s the complete guide to AI security beyond prompt injection. Figure 1: AI Security Threat Landscape […]
Read more →Ethical Considerations in Generative AI: Balancing Creativity and Responsibility
The Weight of Responsibility After two decades of building enterprise systems, I have witnessed technology transform industries in ways that seemed impossible when I started my career. But nothing has challenged my understanding of responsible engineering quite like the emergence of generative AI. The systems we build today can create content indistinguishable from human work, […]
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