Have you ever stopped to think about the different types of AI assistants out there? From simple Q&A bots to advanced personal assistants that can access and analyze your sensitive data, the landscape is vast and complex. As I delved into the world of AI assistants, I realized that there’s a need for a clear taxonomy – a way to categorize and understand these assistants based on their level of autonomy and access to personal information.
Let’s take a simple example. Imagine an AI assistant that can only answer questions based on a static knowledge base, like a RAG system. This assistant has limited autonomy and no access to personal data. On the other end of the spectrum, we have an assistant that can not only access your tax information but also analyze it and suggest ways to improve your tax situation. This assistant has a high level of autonomy and access to sensitive data.
The differences between these two assistants are stark, and it’s essential to understand these nuances as we move forward in the world of AI. I began to wonder if researchers, labs, or institutions are working on creating a classification system for AI assistants based on their autonomy and data access. While I came across discussions about Agentic AI and Recommender Systems, I’m eager to learn more about the research in this area.
If you’re working on a project related to AI assistant taxonomies or know of any resources that could help me on my journey, I’d love to hear from you. Let’s explore this complex topic together and uncover the many faces of AI assistants.