CHALLENGES OF ARTIFICIAL INTELLIGENCE IN HR
Dr.S.SUNDARARAJAN, Associate Professor-MBA, SIMS

Human Resource Professional are working on lucrative HR strategies, to avoid attrition of their key personnel. Sometimes it is difficult to adopt and learn different AI tools and techniques proficiently by creating a hurdle in achieving the desired goals. The corporate environment is full of uncertainty, complexity and unpredictable. Digital era has opened many new opportunities for Human resources with its limitations which the HR personnel should be aware of. HR personnel should be given periodical training to overcome the limitations. HR should monitor and control the Artificially Intelligent Human systems, as there are certain human traits, indications and language that can only be understood by a human being. Creativity, empathy, teamwork and the ability to work with AI systems can assure smooth working of the AI system.Top Common Challenges in AIComputing Power: The algorithms used by AI is very complicated and huge, the correctness of the algorithms depends upon the correct output, as the input is huge the developers shy away from creating programs for AI and the correctness of the AI depends upon the backend coding, hence very difficult to predict.Trust Deficit: The question arises on the output of AI, how can a single input coding give output under various circumstance and devise a solution for various problem, people are skeptical about the same hence the delay in embracing AI.Limited Knowledge: People in various walks of life are still not aware of the potential of AI, hence there is a limitation in using them.Human-level: Human beings are more accurate than AI, as the response from AI will be based on the inputs given to the machine.Data Privacy and Security. AI uses database to provide information and these data are prone to theft from security, this is one of the biggest challenges faced by AI.The Bias Problem: This problem may continue as whatever data is fed into the system a similar output is given and it is the human being who are going to feed data from various sources, hence bias cannot be eliminated completely.Data Scarcity: Many developing nations have started following a stringent IT rule to protect the data freely available to giants on the basis of which programs were generated. Hence these multinationals are using local database to create programs which might be flawed if applied globally.Human touch: 75% of candidates who have searched for a job in the past five years have told that they prefer human interaction through the process of the job hunt. Due to the interaction with AI taking on various conversations and due to the absence of human touch candidates may terminate the interview process prematurely. Due to the robotic conversations of AI candidate may feel that they are not fully capable of understanding human lingo and emotions and these factors may impact the candidate experience rather negatively. Reliability: Most of the AI-based tools are still in their early stages. As they are going through the initial data learning curve, the tool may have numerous inconsistencies and flaws. The data made available to these tools is not adequate many a time. They need a lot of data to recognize patterns and derive at conclusions.Unemployment: By AI technologies humans will lose their creativity and thinking power. Humans are always dependent on machines if the use of AI becomes widespread in society can lead to large scale unemployment in the society as an undesirable changes.Artificial intelligence, which has gradually entered all the functions of the company, has also captured services of human resource function. While some see it as degrading the HR function, HR professionals should take it as an opportunity to focus on missions that a machine can’t accomplish.