Many AI tools require subscriptions to access. Below are a few tools that do not require subscriptions or have free versions comparable to the premium versions.
This list does not signify the library's endorsement. Individuals should use their best judgment when using any product. Check with your instructors if you are using AI programs to complete classroom assignments.
Vetting tools will help protect user privacy and data and improve the quality of the experience. Many new AI programs require subscriptions or other pay-to-use systems, which is another reason to assess a tool before using it. Remember to review any product before giving away personal or sensitive information.
To begin assessing an AI tool, consider the following:
Performance
Usability
Bias
Adaptability
Transparency
An important part of tool assessment is testing the output. Assess a program's output for:
Accuracy
Relevance
Completeness
Efficiency
Clarity
These tools require a subscription to access. The costs are subject to change.
This list does not signify the library's endorsement. Individuals should use their best judgment when using any product. Check with your instructors if you are using AI programs to complete classroom assignments.
Another way to assess an AI tool is to use the ROBOT Test.
R.O.B.O.T.
The R in the Robot test stands for reliability. Check how reliable the program seems to be.
R.O.B.O.T.
The O in the Robot test stands for objective. Investigate what the objective for the program is.
R.O.B.O.T.
The B in the Robot test stands for bias.
R.O.B.O.T.
The second O in the Robot test stands for ownership. Who owns the tool? Who owns the software? It may be different.
R.O.B.O.T.
The T in the Robot test stands for type. What type of AI is being used?
More and more companies are introducing their own AI features or assistants on their platforms, including databases the library subscribes to. Some of these new "AI" updates are normal features being rebranded as AI, such as showing "related articles" suggestions for other articles in the same database.
Platforms will sometimes use a RAG (Retrieval-Augmented Generation) model, which combines regular database retrieval technology with an LLM, so it will show results based on information from the site. Features using RAG models can be more accurate than other models, but AI models are never perfect, so users should always think critically about any output before using the information.