Imagine an AI that not only understands scientific literature but also reasons with the insight of an experienced expert. As AI becomes increasingly vital in industries like life sciences, it’s clear that data alone isn’t enough; we need AI to think with the wisdom of real-world experience.

This is where expert-driven learning comes in—by combining AI’s capabilities with human insight, we can create systems that go beyond standard outputs, yielding nuanced, actionable intelligence.

So, how can you make your AI smarter and more insightful? Let’s explore the steps to enrich your AI’s learning experience, bridging the gap between raw data and expertise-driven knowledge. AI that has already trained on most of the publicly available scientific knowledge, still lacks the wisdom of real-life experience. This limits the applicability of its output.

Enter the human: a subject-matter expert to perform some fine tuning with specific data and advanced prompting for optimized AI output.

Enhancing AI with Expertise  

The AI's output quality is significantly influenced by the person interacting with it, especially their ability to craft detailed, informed, and precise prompts. I like to think of this as a "rich learning experience" to influence the AI output that adds a layer of value on top of what it generates only using raw knowledge data. 

If the expert's prompts reveal patterns, insights, and specific ways of interrogating the data that the AI wouldn’t arrive at on its own, these insights can be used to build a richer knowledge base for future interactions, meaning the AI becomes more valuable as experts use it.

For example, if you want to use published research to change the standard way of measuring disease severity

1. Gather the best articles
2. Record your thoughts and reactions to some of the scientific journal articles, 
3. You just infused the AI’s learning process with years of experience and knowledge that goes beyond the published text.

Simple Steps to Make AI Smarter  

What if you don’t have time to craft insightful prompts? Well, if you have time to leave a voice message, it will make a difference! 

To create this rich learning experience for your AI, consider recording your voice as you read and analyze an article. Talk through why an article matters, highlight the most pertinent data, and explain how your experience informs your understanding. This kind of expert commentary provides layers of meaning that can significantly enhance the AI’s ability to deliver a nuanced analysis. The more detailed and context-driven your explanations are, the better the AI can learn to identify patterns, recognize subtleties, and make informed predictions—like teacher to student.  

What about bias? The challenge of bias is real, because everything from the training data to the programming to the human user is biased. This awareness is the first step in addressing the issue. In our fine tuning and expert prompting, we can actively seek to question the output for biases and feed that back into the dialogue box, helping the AI to identify and correct its biases. Making this effort should make a positive difference.

From Brain to AI

It's as simple as this: brain to audio to text to AI. By uploading the transcription of your recorded thoughts alongside the article, you’re essentially training the AI to think like you. It learns not only from the raw information but also from your expert judgment on what’s important and why. And it has an added, personalized benefit: it not only enhances the AI’s knowledge base, but it also refines its ability to offer responses that mirror your expertise and decision-making process.

Your AI Toolbox

To implement this process of enhancing—and personalizing—AI intelligence, you'll need a few essential tools:

• Audio Recording Device: You can use a smartphone, digital recorder, or any device capable of recording clear audio while you talk through your thoughts. The best device is the one that you find most reliable and easy to use.
• Transcription Software (optional): Many AI assistants have built-in transcription capabilities, especially at the paid-tier level, but depending on your uses, you may want to review the text to ensure that it is correct. Tools like TurboScribe, Otter.ai, or Descript can transcribe your recorded audio into text format.
• AI Platform: To input and train the AI, you'll need access to an AI model or platform that can process the text. This could be an AI assistant, machine learning software, or platforms like OpenAI GPT, IBM Watson, or custom AI solutions designed for your needs.
• Document Management: A place to organize and store your recordings, transcriptions, and articles. Tools like Google Drive, Notion, or Evernote can help manage this content for easy retrieval.

Incorporating your wisdom into the AI’s training gives it the ability to truly excel, providing analysis that reflects the depth and nuance of expert-level thinking. Together, you and your AI can develop the ability to solve problems with greater precision, creativity, and efficiency—enhancing decision-making and driving innovation in ways that could be difficult to achieve alone. By continuously refining its knowledge with your teaching, the AI “student” evolves into a rich and powerful tool that complements and amplifies your expertise—not one that eliminates the need for it.

All of this sounds great, but no time to implement it yourself? We can do it for you! Contact us at Bracken and we’ll make your life science easier.