USE OF AI ENABLED SOFTWARE IN INDIA FOR HIRING. THE NEED FOR LAWS AND COMPREHENSIVE FRAMEWORK FOR HIRING THROUGH AI.
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.5255Keywords:
Artificial Intelligence, Job, Hiring and Company Using Softwares, Regulations and LawAbstract [English]
In this era the result of what seems to be a lengthy hiring process consisting of screening, conducting numerous interviews and performing background checks, AI tools like Applicant Tracking Systems (ATS) have come into play as a tool to filter resumes based on key standards. This can now be achieved at the stroke of a few minutes, scanning thousands of resumes in accordance with the candidates skills, experiences and best matching keywords. This AI innovation enables quicker responds to be provided to candidates while simultaneously allowing companies to fill open positions at a faster rate than before. Hiring managers and employees are naturally swayed to look favorably towards a particular candidate due to biases that stem from hiring habits, but AI has proven to effectively neutralize this element by analyzing objective factors like skills and qualifications while filtering the demographic data. Specialized machine learning algorithms devised to disregard gender, ethnicity and age serve to strengthen diversity within the AI workforce. Through the utilization of chatbots and virtual assistants, candidates can now receive instantaneous responses to any questions they might have, alongside receiving feedback, enhancing engagement. AI chatbots employ predictive analytics in gauging the prospective success rate of candidates in accordance with previous job performances. By evaluating certain personality traits and overall business culture, the potential turnover rate is reduced, while long-term hires are ensured. By basing the AI-powered personalized job recommendations on candidate profiles, the overall job searching experience is improved which increases the chances of landing the right job.The scholar in this research article has tried to analyse the pros and cons of the hiring process through AI and the benefit that companies would derive out of this boon and the laws and regulations that should be in place to regulate such type of hiring.As we move into the future, there is no doubt AI technology will continue to develop, thus broadly enhancing its features within the workforce.
References
Al-Alawi, A. I., Naureen, M., AlAlawi, E. I., & Al-Hadad, A. A. N. (2021). The role of artificial intelligence in recruitment process decision-making. Paper presented at the 2021 International Conference on Decision Aid Sciences and Application (DASA). DOI: https://doi.org/10.1109/DASA53625.2021.9682320
Bhawan, P., & Nagar, E. A. (2020). Central pollution control board. Central Pollut. Control Board, New Delhi, India, Tech. Rep, 20-21.
Busru, S., & Singh, S. (2016). Indian Redefined Corporate Governance: In the Context of Companies Act 2013. Research Journal of Finance and Accounting, 7(5).
Chandrasekaran, S. (2015). Quantified Risk Assessment: Understanding the Hazards of LPG Filling Stations. Professional Safety, 60(09), 44-51.
Chowdhury, E. K. (2021). Prospects and challenges of using artificial intelligence in the audit process. The Essentials of Machine Learning in Finance and Accounting, 139-156. DOI: https://doi.org/10.4324/9781003037903-8
Edwards, R. M., & Kleiner, B. H. (2002). Conducting effective and legally safe background and reference checks. Managerial Law, 44(1/2), 136-150. DOI: https://doi.org/10.1108/03090550210770722
Fernández-Martínez, C., & Fernández, A. (2020). AI and recruiting software: Ethical and legal implications. Paladyn, Journal of Behavioral Robotics, 11(1), 199-216. DOI: https://doi.org/10.1515/pjbr-2020-0030
Fritzsche, M., Blom, G., Keitel, J., Goettsche, A., Seegel, M., Leicht, S., . . . Cimelli, A. (2022). NDMA analytics in metformin products: comparison of methods and pitfalls. European Journal of Pharmaceutical Sciences, 168, 106026. DOI: https://doi.org/10.1016/j.ejps.2021.106026
Ganapathy, V. (2023). AI in auditing: A comprehensive review of applications, benefits and challenges. Shodh Sari-An International Multidisciplinary Journal, 2(04), 328-343. DOI: https://doi.org/10.59231/SARI7643
Kodiyan, A. A. (2019). An overview of ethical issues in using AI systems in hiring with a case study of Amazon’s AI based hiring tool. Researchgate Preprint, 1-19.
Li, L., Lassiter, T., Oh, J., & Lee, M. K. (2021). Algorithmic hiring in practice: Recruiter and HR Professional's perspectives on AI use in hiring. Paper presented at the Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. DOI: https://doi.org/10.1145/3461702.3462531
Mabatha, N. (2023). IT auditors’ resilience during the COVID-19 pandemic in the South African banking industry. University of Johannesburg (South Africa),
Mathur, B. (2017). Transparency in Appointing the CAG. Economic and Political Weekly, 30-35.
Patel, P., & Uddin, M. N. (2022). AI for algorithmic auditing: mitigating bias and improving fairness in big data systems. International Journal of Social Analytics, 7(12), 39-48.
Princewill, A. O. Recruitment and Selection Process: Need for Background Checks.
Razzaque, A. (2021). Artificial intelligence and IT governance: a literature review. The Big Data-Driven Digital Economy: Artificial and Computational Intelligence, 85-97. DOI: https://doi.org/10.1007/978-3-030-73057-4_7
Sinha, A., Hickok, E., & Basu, A. (2018). AI in India: A policy agenda. The Centre for Internet & Society, 5.
Thottoli, M. M. (2024). Leveraging information communication technology (ICT) and artificial intelligence (AI) to enhance auditing practices. Accounting Research Journal, 37(2), 134-150. DOI: https://doi.org/10.1108/ARJ-09-2023-0269
Uma, V., Velchamy, I., & Upadhyay, D. (2023). Recruitment analytics: Hiring in the era of artificial intelligence. In The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part A (pp. 155-174): Emerald Publishing Limited. DOI: https://doi.org/10.1108/978-1-80382-027-920231008
Vevahare, N. R., & Tailor, N. (2023). The Impact of Technology on Diversity Hiring, Unbiased Hiring and Hiring Effectiveness. OPUS: HR Journal, 14(2).
Waddell, C. (2018). Effective hiring process background check strategies. Walden University,
https://hrexecutive.com/a-global-outlook-on-13-ai-laws-affecting-hiring-and-recruitment/
https://authbridge.com/blog/how-do-companies-do-background-checks-in-india/
https://www.veremark.com/blog/how-multinational-companies-mncs-do-background-verification
https://www.wecreateproblems.com/blog/companies-using-ai-for-recruitment
https://www.phenom.com/blog/examples-companies-using-ai-recruiting-platform
https://www.weil.com/~/media/mailings/2020/q3/employer-update_september-2020.pdf
https://carnegieendowment.org/research/2024/11/indias-advance-on-ai-regulation?lang=en¢er=india
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