Can AI Cause Burnout In Employees?
Many companies use AI to ensure employees have an easier workload. But how can we prevent this technology from causing problems?
Potential Problems Caused By AI
1. Data Breaches
An AI data breach occurs when using such models leads to security problems and data is leaked. This is because the AI model stores the data on the same server as the other data. AI systems process sensitive data, which no one should gain access to. Unauthorized access happens when no security measures, such as encryption, have been used. As a result, there are data breaches.
AI is hosted on a cloud server. If someone can get access to the server and access such data and provide others with access to it, there can be a problem for the company. Therefore, everyone can't be provided with access to such a server. Such data can be of various types, such as personal information of employees in the case of offices, and when in hospitals, it could be the healthcare records of patients.
2. Data Poisoning
Data poisoning can also happen when someone puts the wrong data into the system, corrupting the model and causing the AI's functionality to be affected. With such data, someone can also get a hint about the workings of the AI system. This technology can cause problems when employees are supposed to get even more work done because of it.
How Does AI Work?
An AI model works by detecting patterns based on the data that it is fed on. For example, it can recognize animals based on their specific features and then it can make a prediction. Next time you give it an animal picture, it can recognize which animal it is.
For an AI model to work, it uses data to ensure that predictions can be made, and then it detects patterns in the data. Without such a model, the AI can't work, no input can be analyzed, and no output is generated. The AI model can recognize patterns and hence does various tasks, like predicting results, detecting objects such as facial recognition, and even answering customers based on the queries they provide a chatbot with.
Why Does The Use Of AI Cause Burnout In Employees?
1. Fear Of Substitution
Employees can also be scared that one day AI will take over their jobs. They work hard so that employers see them as better than machines. This can cause fatigue and burnout.
2. No Training
Employers also have a lot of expectations from employees that they will easily grasp the basics of AI. This is not true because employees need to be trained. When AI technology is being used in an office, employees can feel pressured to become irreplaceable. An AI tool necessitates that employees should always be available. When employees have to be available 24/7, this can cause their work-life balance to be disrupted.
3. Boredom
If all the tasks of human beings are done by AI, it will cause boredom for the employees. The employees can suffer from a dearth of job satisfaction. They may have no connection with their teammates, and this can lead to them quitting their jobs. Hence, AI must be used judiciously by a company. Only this can save employees from burnout.
How Do You Address Burnout?
Train Employees
Firstly, AI was supposed to reduce the tasks of humans. It was not supposed to increase them. A company can receive a lot of benefits when the employees are given practical AI training. Employees will see the benefits of AI when they are trained to use it. They accept AI and get motivated to use it. They also become more confident using it if they are shown its benefits in similar industries. They lose their fear of being substituted by AI.
Convince Employees
When employees are convinced that AI will lead to their growth, they see AI as a chance to further their careers. They see Learning and Development as a chance to boost their knowledge, rather than as an obstacle to their job. Hence, they develop a positive mindset towards learning about AI when they are convinced about its benefits. While training employees, they should be convinced that AI will not replace them in the long run. This will make them see the training necessary for their career growth. Also, separation should be set between their personal and professional life. Employees must stop working when their shift is over.
Training should be designed keeping in mind the needs of employees. When training does not align with the job roles of employees, they can feel uninterested. Also, training must be designed based on the various AI models. Employees feel interested in training when they know it will make their performance at their jobs better. Hence, a company has to invest on developing programs that are in tandem with an employee's job tasks. The same AI training program can't be used for all employees.
