Absolute answerability in the Era of Artificial Intelligence and Machine Learning: A talent management perspective

摘要

Robots, chat bots and many new forms of Artificial intelligence are having an impact on the way organizations function in the modern era. It all started with industrial revolution wave and automation. Slowly the impact of computers and other gadgets was severely felt. However, the impact that artificial intelligence has brought in, seems to be incomparable and indeterminate too. Human beings have been the providers of service at every point in the block chain. However, the replacement of humans by machines is not new. The issuing of pink slips and downsizing the organization is also a trend witnessed in due to many reasons, including digitalization. This research paper is an attempt to understand the role of people in organization amidst the confusion of who holds the absolute answerability. On the plain note, humans are answerable to any reservations that arise in organizations. But in this era where machines are becoming intellect, are we still playing the blame game on humans towards answerability? HR analytics have come up in a big way and analytical thinking as well as predictions are the prime armaments in the hands of an accomplished HR. When the scenario is changing in this direction, the workforce itself is changing and becoming dynamic. Decision making is facilitated by algorithms and the human interface is on a decline. In this scenario, the absolute answerability which was with the human force, till late is now in a quandary. The objective of the paper is to access the role of AI in the era of deep learning and the impact it has on the HR trends. The talent (workforce) component has to be not only managed but has to be molded in such a way that they exceed their performance when compared to machines. The creativity part has to be creatively enhanced. In doing so, the question is, will AI take a back seat or will it lead to a complete conquer of human resources in organizations. The answer is explored.