Definition
Origin
The term "weak AI" is attributed to philosopher John Searle, who introduced the concept in the 1980s to differentiate between AI systems designed to perform specific tasks (weak AI) and those that could potentially achieve a level of consciousness similar to humans (strong AI); essentially, "weak AI" refers to the idea that a computer can effectively simulate aspects of the human mind without actually possessing a mind itself [3].
Context and Usage
Weak AI assists in transforming big data into information fit for use by identifying patterns and making predictions. For instance, in Retail, chatbots are used to assist customers with order tracking and product recommendations. In Manufacturing, robots are used to automate assembly lines process and reduce errors.
Why it Matters
Weak AI has become increasingly important in the technology industry because of its ability to automate routine tasks, process large amounts of data, and provide intelligent solutions to complex problems [2].
References
- Labbe, M., Wigmore, I. (2024). What is narrow AI (weak AI)?
- Bot penguin. (2025). Weak AI: Importance, Use-cases and Limitations.
- Gavinjensen. (2018). AI: Weak AI vs. Strong AI
- The Investopedia Team. (2022). Weak AI (Artificial Intelligence): Examples and Limitations.