How To Use Generative AI In Life Sciences While Avoiding Data Security Risks

Artificial intelligence (AI) is revolutionizing content creation in the rapidly evolving life sciences industry. Imagine having a super-smart assistant who can sift through mountains of research papers faster than you can say "genome sequencing." While generative AI offers incredible potential, concerns about data security are a barrier to the adoption of AI. Fear not! You can leverage generative AI in life sciences without compromising your data. Here's how. 

AI Platforms are More Than Just a Fancy Word Processor

Artificial intelligence applications transform productivity across industries, and life sciences are no exception. According to a Deloitte survey, 66% of life sciences companies surveyed already leverage generative AI to innovate and solve problems, and 90% expect generative AI to impact their business. Leveraging artificial intelligence solutions is not just about writing articles; it's a versatile tool for content creation. Here are some generative AI use cases in life sciences:

Summarize Complex Research: AI can condense a 50-page study report into a concise two-page summary in seconds. 

Search Scientific Literature Databases: AI can assist in searching PubMed and providing valuable insights. 

Learning and Training: It can explain complex scientific concepts and assist in writing training materials. 

Write SOPs and Guidance Documents: Who loves writing SOPs? AI can do that too with a little guidance and knowledge source. 

Promotional & Scientific Review: Yes, it can! AI can assist in reviewing documents for accuracy and claims.

These are just a few examples of how AI can assist you and scale your productivity. However, as Uncle Ben told Spider-Man, "With great power comes great responsibility," especially when handling sensitive information.

How to Keep Your Data Safe While Using AI

Everyone should consider data security and be mindful of what data they place in AI applications. However, this concern should not prevent the use of generative AI models because many use cases do not require proprietary data.

Consider how many types of materials and derivative pieces are generated from information in the public domain (e.g., prescribing information, published data). There are also time-consuming activities (e.g., PubMed search, citation generation) in the content development process where AI can assist.

Using an all-or-none approach limits the use of AI in life sciences. For example, AI-powered solutions can write sections that do not contain sensitive information even though the rest of the document may contain proprietary information. A good exercise for life sciences professionals is to create a list of activities or deliverables best suited for AI assistance and do not involve proprietary data. The list may be longer than you think; yes, you can use AI to write the list!

Start with Less Sensitive Content

Begin your AI journey with tasks that do not require proprietary data. Use AI to brainstorm, generate an outline, find information, or for self-training. You can also use it to create tables, paraphrase sentences, draft your objectives, draft team goals, and do other writing tasks. As you become more comfortable, use it to write more complex documents like medical information letters that only contain published data.

Choose Your AI Wisely

Not all AI tools are created equal. Look for AI platforms designed for scientific content creation (e.g., MACg). Ensure they have enterprise-grade security, data, and privacy protection policies and allow you to delete your content. Also, check that your data is not used to train the AI model.

Be Mindful of What You Input

Exercise caution when inputting sensitive information into AI systems. Anonymize your data by removing identifying details while preserving essential content. This step protects your data, allowing you to use AI to write sensitive documents.

Understand the Basics of Data Encryption

You don't need to be a cryptography expert but choose AI tools with built-in security features and end-to-end encryption. Good encryption scrambles your data during transmission and storage, safeguarding it from unauthorized access.

Why MACg is the Perfect Platform

You will need a fit-for-purpose solution to realize the full benefits of generative AI. MACg stands out as an ideal platform for life sciences professionals. It offers:

Built for Life Sciences: It has tools that extend the functionality of AI. 

Secure Integration: You can search PubMed and the internet in real-time. 

Robust Security: It has enterprise-grade security and data encryption, and you can delete your content. Your data is not used to train AI models.

User-Friendly Interface: Its easy-to-use interface, prompts, citation generation, and document libraries support efficient content creation.

By choosing MACg, you can confidently leverage artificial intelligence while ensuring your data remains secure. Embrace the future of content creation in life sciences with MACg as your writing assistant.