Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 58

It’s entirely possible that you’ll find yourself working for a machine in the future. In fact, you might already work for a machine and not know it. Some companies already use machine learning to analyze business processes and make them more efficient. For example, Hitachi currently uses such a setup in middle management (see the article at http://www.hitachi.com/New/cnews/month/2015/09/150904.html). In this case, the AI actually issues the work orders based on its analysis of the workflow — just as a human middle manager might do. The difference is that the AI is actually eight percent more efficient than the humans it replaces.

However, a job opportunity also presents itself. Workers under the AI do perform the tasks that the AI tells them to do, but they can use their own experience and creativity in determining how to perform the task. The AI analyzes the processes that the human workers use and measures the results achieved. Any successful processes get added into the database of techniques that workers can apply to accomplish tasks. In other words, the humans are teaching the AI new techniques to make the work environment even more efficient.

Teaching the AI new techniques is an example of how machine learning can free humans from the drudgery of the work environment. When using human middle managers, new processes often get buried in a bureaucracy of unspoken rules and ego. The AI middle manager is designed to learn new techniques without bias, so the humans are encouraged to exercise their creativity, and everyone benefits. In short, the AI, which lacks an ego to bruise, is the approachable manager that many workers have wanted all along when it comes to implementing new ideas that make everyone more productive.

Unfortunately, the downside to this increase in productivity is that the nonhuman manager often makes the job environment stressful and unsafe, according to the article at https://www.theverge.com/2020/2/27/21155254/automation-robots-unemployment-jobs-vs-human-google-amazon. In order to create a harmonious integration, the machine learning algorithms also need to consider worker safety and happiness in the future, which is something that only a human manager can do at the moment.