Code Generation in Regulated Industries: Opportunities and Challenges
About this talk
Schedule
Room:101
Date: April 25
Time: 14:00–14:25
Abstract
AI-driven code generation can transform software development in regulated sectors like banking and insurance - but only if implemented securely and responsibly. In this talk, we’ll explore how to harness tools like GitHub Copilot and ChatGPT to boost productivity while ensuring compliance. Attendees will learn key considerations, best practices, and practical insights to keep code generation both efficient and fully auditable.
Prerequisites
None
Description
In highly regulated industries, code quality, security, and compliance are paramount. Yet recent advances in AI-driven coding assistants promise faster development, fewer errors, and improved agility. How do we tap into these benefits without introducing unacceptable risk?
This session will:
Demystify AI Code Generation:
- Brief overview of tools like GitHub Copilot, Code Llama, ChatGPT and other
- How these models learn, generate code, and support developers
Tackle Regulatory and Compliance Challenges:
- Why finance, insurance, and other sectors have stringent requirements
- Ensuring auditability, explainability, and data privacy
- Real-world pitfalls: potential for code vulnerabilities or data leaks
Adopt Best Practices for Secure Development:
- Human-in-the-loop code review and automated scanning
- Model fine-tuning with domain-specific datasets
- Integrating AI generation into CI/CD pipelines with robust security checks
Explore Future Possibilities:
- How “regulation-aware” AI might evolve
- Potential for industry-specific large language models
- Balancing innovation and compliance
