Part 7/11:
- Workflow Assistance: Supporting underwriters, risk managers, and tech teams with content generation, code review, and summarization tasks.
Historically, insurance companies have been conservative in AI adoption, partly due to regulations and data sensitivity. However, recent advancements with LLMs are overcoming limitations faced by traditional machine learning, particularly in processing complex, unstructured data.
Building a Responsible AI Ecosystem
The push for responsible AI deployment is crucial. Companies are adopting a cautious, guarded approach emphasizing:
- Data Privacy and Security: Use of static models that do not learn from prompts, strict isolation of model instances, and banning public AI tools to prevent data leaks.