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When one considers technology commonly used in the cleaning industry, autonomous floor scrubbers and smart, Internet of Things-connected dispensers and systems most likely come to mind. Although you may not think about it, these technologies use artificial intelligence (AI).

Machines, integrated circuits, and software used in the cleaning industry tap into AI when they purposely use information to manage and perform cleaning tasks and related operations. When we supply information and purpose to this equipment, we largely control the decisions and outcomes.

AI has advanced rapidly in recent years due to more computing power, large language models in systems such as ChatGPT, and better algorithms, prompting the question: Whos in control, and what does it all mean?

Interestingly, ChatGPT calls itself a language model, and not a reasoning machine. Humans have supplied the information and, to a large extent, its purpose, and hence, have some degree of control over outcomes.

Language models encode what is reflected in human text rather than offering a deep understanding of it, although they may sometimes project the appearance of such deep understanding, notes the book The Age of AI: And Our Human Future, authored by Henry A.Kissinger, Eric Schmidt, and Daniel Huttenlocher.

So, in many ways, humans still control AI, but with advancing technology, AI has more ability to think, at least within certain limits.

Currently, AI is not good at nonrepetitive tasks. However, it is potentially good at repetitive tasks in professional cleaningsuch as emptying trash, dusting, and floor carewith limits that relate mainly to financial considerations. For example, building the perfect dusting robot would be an expensive undertaking, one most useful where the size of an operation justifies the cost of development.

Employee training is an area where AI is already helpful. Just as airline pilots train on simulators, cleaning workers can receive training using augmented reality (AR) and virtual reality (VR).

In the current environment, with the relatively low cost of entry-level custodians and the modest needs of most jobs, technology solutions will not be top-of-mind in most operations, at least as it relates to the labor pertaining to commercial cleaning endeavors.

However, as helper technologies such as AR and VR become less costly to accessdue to supply and demand market pressures or the ability to rent or lease these serviceshelper or service tech will gradually become a part of the daily lives of many workers.

In addition to training workers, we can apply AI to professional cleaning in various ways, such as:

One definition of intelligence is that it is the purposeful ability to capture, adapt, and use information.

As concerns arise regarding the ability of AI to take over society, causing mischief or worse, its wise to remember that AI arose from human intelligence, not vice versa.

In principle, improving human potential through the practical application of knowledge should precede improving AI, and expanding our workers ability to capture, retain, and build on human knowledge and expand their skill set is a top priority.

Workers imbued with a growth mindset through expanded knowledge can, in turn, help inform, develop, and maintain related AI for better cleaning that is grassroots-driven, customer-centric, and financially attractive.

The rest is here:
The Role of Artificial Intelligence in Professional Cleaning - CMM