In: Operations Management
research topic in human capital management and offer
websites that speak to that perspective
The latest topic in the field of HRM and managing the human currency deals with the use and impact of artificial intelligence in the field, at a much higher capacity than it is currently being utilized. The fact that technology and machine learning in the recent years have evolved to a point of complete autonomy in decision making, even in areas like candidate selection, interview, and for making collective decisions about employee feedback and evaluation, removing all the biases that can reduce the effectiveness of a human manager’s decision due to factors like emotions. The main trends involve debate between the ethical use behind technology making decisions that take into account humans and its efficacy in providing the necessary results because it is said that it is human intuition and not our ability to process thousands of lines of data in seconds that let us choose the best possible outlook.
We also have concerns where the entire aspect of human resource functions is affected. This is a valid concern when we look to the past where manual labor is almost completely replaced by automation, assembly line, and other functions. It is already a major consent in fields such as banking where the positional responsibility of tellers shows high applicability of automation and the field of human resource, which is considered the main aspect when it comes to thinking for employees in terms of humans and not workers. Human capital would, therefore, be affected as a result where the company's process of selection world becomes based on probability and statistics rather than future outlook, fit and growth, and sustainability. This might negatively impact the workforce in the sense that most of the employees, if selected by a machine would be reasonably similar, leaving a large gap when it comes to catering towards creative work and stunt innovation as a result.
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