The Role of Artificial Intelligence in Enhancing Fairness and Efficiency in Minimum Wage Adjustments

Batchu, R. K. (2023). Artificial intelligence in credit risk assessment: Enhancing accuracy and efficiency. ITAI, 7(7), 1-24. Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency, 149-159. Brown, A. (2019). The role of AI in economic analysis. Journal of Economic Perspectives, 33(4), 67-85. Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company. Dastin, J. (2018). Amazon scrapped a secret AI recruiting tool after it showed bias against women. Reuters. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. De Stefano, V. (2019). Labor protection in the age of automation. Comparative Labor Law & Policy Journal, 41(1). Doe, J. (2021). AI in policy making: Case studies and applications. Policy and Technology Review, 12(3), 45-60. Ernst, E., Merola, R., & Samaan, D. (2019). Economics of artificial intelligence: Implications for the future of work. IZA Journal of Labor Policy, 9(4). Garcia, M. (2022). Expert opinions on AI for minimum wage adjustments. Economic Innovations Journal, 8(2), 99-113. Kramer, A. D. I. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1-22. Lee, H., & Kim, S. (2018). Predictive analytics for economic forecasting. International Journal of Data Science, 6(1), 23-40. O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group. Patel, R. (2020). Challenges in implementing AI-driven systems. Journal of Technology and Society, 14(1), 77-92. Sabil, S., Bangkara, B. M. A. S. A., Mogea, T., Niswan, E., & Timotius, E. (2023). Identification of HRM improvement strategy using artificial intelligence in modern economic development. International Journal of Professional Business Review, 8(6), 1-14. https://doi.org/10.26668/ijpr.2023.e01835 Savage, L. J. (1954). The foundations of statistics. John Wiley & Sons. Smith, J., & Jones, L. (2020). Machine learning in economic data analysis. Artificial Intelligence Review, 44(3), 101-118. Von Bertalanffy, L. (1968). General system theory: Foundations, development, applications. George Braziller. West, S. M. (2018). The ethics of AI and the future of work. Brookings Institution. Zarsky, T. Z. (2016). Transparent predictions. University of Illinois Law Review, 2016(4), 1505- 1550.