Tech Term Decoded: Weak AI

Definition

Weak AI, also known as Narrow AI, is the use of artificial intelligence technologies to implement a high-functioning system that recreates, and perhaps improve on human intelligence for a dedicated purpose.  A good example to explain this concept is Predictive maintenance models. These models depend on data from machines, usually collected through sensors, to help anticipate when a machine part may malfunction and inform users ahead of time [1].

Insight on Weak AI [2]

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].

Related Terms

• Limited Memory AI: This is a type of artificial intelligence that can store and utilize past information to inform future decisions, but only for a short period of time
• Pattern Recognition: This is the process of identifying recurring patterns in data to help machines analyze and find connections
• Machine Learning: This is a subset of artificial intelligence (AI) that allows computers to learn and improve from data without being explicitly programmed, essentially enabling them to identify patterns and make predictions based on the information they are exposed to, mimicking how humans learn from experience.

In Practice

A real-life case study of weak ai been practiced include Meta's (formerly Facebook) newsfeed, Amazon's suggested purchases, and Apple's Siri, the iPhone technology that answers users' spoken questions [4].

References

1. Labbe, M., Wigmore, I. (2024). What is narrow AI (weak AI)?
2. Bot penguin. (2025). Weak AI: Importance, Use-cases and Limitations.
3. Gavinjensen. (2018). AI: Weak AI vs. Strong AI
4. The Investopedia Team. (2022). Weak AI (Artificial Intelligence): Examples and Limitations.