Explore a conference talk examining the security implications of GitHub Copilot's code contributions. Delve into the assessment of AI-generated code, focusing on common vulnerabilities and weaknesses. Learn about the experiment overview, including examples of buffer overflow, use-after-free, and command injection issues. Analyze the results, discussing knowledge-based errors and the impact of prompt diversity. Gain insights into AI tools in software development and their potential security risks.