Artificial intelligence’s application in the workplace should revolve around helping human workers overcome obstacles. Every job entails components that are time consuming, repetitious, and prone to human error. Like instruments assist airline pilots with tasks a human finds impossible, such as judging altitude accurately or knowing if another plane is ahead in a cloud bank, AI can handle obstacles no human can do without assistance.
By helping human workers overcome these obstacles, businesses become more productive and humans are freed for tasks that the human brain does better than AI, such as creating marketing strategies, writing whitepapers, and giving motivational speeches. Throughout history, new technology has always created more jobs than it destroys. Technology experts expect AI to follow the same pattern.
AI puts humans to shame when it comes to tasks requiring repetition and processing large volumes of data. A team of humans working 24/7 has no chance of integrating and analyzing data like one AI machine can do in minutes. For example, AI can record the license numbers and issue tickets for a busy intersection’s red-light camera. Humans watching and analyzing video and manually issuing tickets would have no chance of keeping pace with a machine and cost much more.
Human resources has yet to gain a high degree of correlation with AI, but it serves as a great example of how AI can help human workers overcome obstacles, as explained by Career Accelerator. Talent assessment stands as one of an HR departments most important functions. A company performs as well as the sum of its workers. Hire the wrong ones, and the company’s results suffer. Hire the right ones, and the company profits.
Human beings are subject to several drawbacks in performing talent assessments. All people, even the most honest and well-meaning, have biases, though some bias may be subconscious. In addition, humans are subject to emotional decision making, even if they try to avoid it. People also have bad days.
AI and ML (machine learning) are able to integrate a vast amount of data regarding job applicants in order to create an effective short list. By objectively analyzing data points set by management, AI and ML can pinpoint the right talent. It then becomes the job of human managers to recruit that talent. Recruiting requires a combination of interviewing, negotiating, and choosing between a small group of candidates based on which one is the best investment of company resources. That is a tough job. When AI and ML has narrowed the field to only good matches, it becomes much easier.