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In some industries, the emerging technology of artificial intelligence costs employment to numerous people. But in response to that, AI technology supports three new job categories - explainers, sustainers, and trainers – according to the Human + Machine book by Paul Daugherty and H. James Wilson.

Who Are the Explainers?

Business leaders and technology experts have two different specialties that do not coincide normally. The job category “explainers” fills the gap between the two fields. One job title called transparency analyst can put someone in charge for classifying a particular algorithm of an AI to act as a black box. The analyst’s main job is to create or select systems that can clarify the opacity generated by AI usage.

Who Are the Sustainers?

With deep learning, AI continues to learn and evolve to efficiently perform tasks that are difficult to be performed by people. The job category sustainers open job titles that supervise the proper use of AI. One of their tasks is to work continuously to make sure that AI uses the proper tools in performing tasks. Another task of sustainers is to intervene in decisions related to ethical, legal or profit compliance. In short, sustainers act as advocates for upholding human morals and values in AI technology.

Who Are the Trainers?

One of the traits of a living organism is the ability to adapt to its surroundings. Humans have this trait and people have been adapting to numerous changes throughout history. AI systems do not have that trait and must be upgraded to learn more and adapt effectively. Trainers, as the name suggests, train AI systems to adapt to respective industries they are applied to. Trainers need to work closely with AI systems to perform specific tasks, such as data cleaning, error correction, and personality definition.