Artificial intelligence has a huge potential to change the way people perform their work. Administrative professionals, customer service representatives, logistics managers, or factory workers everyone can use contextually appropriate tools to change and improve the way they perform their work and manage information flows.
The key is to understand how artificial intelligence works and when it is appropriate to apply it.
Below are several suggestions that can help in learning AI literacy and applying AI tools and systems in the workplace.
1. Begin with Solving Real Examples
Using artificial intelligence often means that people turn to it to solve real problems instead of just adopting it as a “fashionable” thing. Therefore, people need to identify specific tasks for which they can be applied, e.g.,
summarizing long documents and meeting minutes
writing routine letters
structuring disorganized materials
classifying feedback
identifying patterns and relationships in the data
For instance, if an employee regularly has to provide a summary of the key aspects of a meeting, the AI-based tool that is approved for use can help prepare a rough draft.
A critical step here is for the employee to take responsibility by making sure that the main points were not missed, the wording corresponds to the approved standards, and certain steps were not forgotten.
2. Define Precise Instructions
When using AI-powered solutions, one of the essential skills is providing necessary context and precise instructions.
Depending on the phrasing and specificity of the question, the results received can vary significantly. Thus, instead of a general instruction like “summarize this report,” it makes sense to use a list of specific directives,
summarize in five bullet points
identify the main findings and problems not resolved
indicate recommendations and additional steps needed
use only information provided in the report
highlight questions not addressed in the report
In addition, the instructions can be supplemented with the context on who needs to use the summary, what restrictions apply, and what details can be omitted.
3. Always Verify the Final Output
Perhaps, one of the most critical skills when using AI tools in the workplace is verification. This means clarifying whether the solution’s response fully reflects the reality of the situation, does not omit any important aspects, and highlights the most crucial points.
AI systems are quick to make mistakes or “fabricate” information, especially when the question is vague, so even when the user has provided the correct instructions, verifying the response against factual data is essential.
For instance, if the AI tool was directed to summarize the main points of a production report and identify the reason for a delay, the user must double-check facts that might support or refute this claim.
In this case, a checklists for verifying responses would include the following items:
• Facts: can the information be verified?
• Details: Were any important aspects missed? If so, which ones?
• Conclusions: Does it align with reality?
• Consistency: Does this output correspond to the context and can it fit within the business frame? Will providing this information lead to errors, delays, or security issues?
Depending on the importance of the request, employees should devote a sufficient amount of time to verifying information, applying their expertise, and analyzing processes using data from similar tools to ensure there are no inaccuracies.
4. Recognize Specific AI Features in Industrial Facilities
AI tools can do more than just help clerks or executives deal with routine tasks.
Industrial AIoT (Artificial Intelligence of Things) connects AI to operational technology (OT) systems and analyzes sensor data from equipment, inventory, and other sources.
This integration enables teams to optimize operations and identify patterns. In particular, AIoT can be used in predictive maintenance, inventory management, production analysis, and supply chain traceability. Inventory managers can look into data sets about warehouses, while production supervisors can examine causes of production delays.
As in all cases, AI tools only support and supplement human actions without replacing them. In practice, the success of an AI implementation depends on workers’ literacy and understanding of the system’s input and output data.
For those interested in this space, the OEMNex AI website offers several articles concerning the Industrial AI application.
5. Maintain Privacy and Follow the Policies
AI literacy skills are crucial not only in terms of technology but also for compliance requirements, such as protecting personal data. Using AI tools is not limited to asking for information.
Since many documents and data contain strictly confidential information relevant to the company’s operations, employees need to know which tools to use and what information to provide.
Practical guidelines that help use AI tools in the workplace while following the rules and protecting personal data can include
• using approved tools authorized by the facility or department
• not providing sensitive data to such solutions
• observing rules related to personal data
• receiving approval for requests of this type
• applying standard and special reviews for information obtained from such tools
• contacting the helpdesk in case of problems arising
Compliance is one of the most important aspects that must be taken into account when using AI tools. A wide range of individual solutions in various fields can process and store data, so employees must ensure that they do not violate the rules.
6. Focus on Learning AI Applications That Apply to Your Work
Employees should be guided by the principle of gradualness and the possibility of implementing changes in the practice of each day. Instead of trying to learn all the details at once, it is better to start with those aspects of AI that seem to be the most beneficial and relevant.
For instance, to check the practical application, an employee can use a suitable tool to simplify the task assigned and compare the result with the solution without using this tool. As a result, the ability to obtain structured information is critical to ensuring that AI tools are useful.
Once the benefits and limitations of the tools are understood, the person can move on to learning how to use other AI features.
However, language, soft skills, analytical skills, and subject matter expertise should never be replaced by AI-based technology. The ability to communicate with other people, think critically, solve problems, and apply knowledge in practice will always be in demand.
Thus, AI literacy seems to be primarily the ability to select appropriate tools that meet the needs of one’s work and to ensure that work meets high quality, accuracy, and precision criteria.
Discussion: What is the task in your work that AI can simplify and how will you verify the accuracy of the result?
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