What Enterprises Can Learn from Public GenAI Failures | Human in the Loop Episode 15

Recent public failures of enterprise generative AI, like Air Canada's chatbot, highlight the risks of deploying these systems without proper testing. These incidents often stem from model hallucinations, where the AI confidently provides incorrect information, leading to real-world consequences and legal liability. Proactive "red teaming" is presented as a crucial strategy to identify and mitigate such vulnerabilities before an application is released to the public. This process involves targeted, domain-specific testing to find potential harms, balancing security measures against application performance to ensure the final product is both effective and safe.