HRM and Role of Artificial Intelligence: Triple Bottom Line Sustainability

Abstract

The sustainability framework is inherent in the balanced scorecard, which accounts for financial and non-financial indicators, methodological challenges in developing matrices for triple bottom line performance and establishing decision support frameworks. According to our work, we are focusing on human cognition when confronted with multi-attributed platforms. The research in the field of Artificial Intelligence $(AI)$ results in the growth and development of a wide range of sectors. Through various studies done in the past on the impact of $AI$ it was found that $AI$ systems will play a significant role in achieving sustainability both in positive and negative ways. Through our work, we aim to draw light and focus on reducing the shortcomings of Artificial Intelligence $(AI)$ which were found by using the consensus-based expert elicitation process that AI has a negative impact on 59 targets of 17 sustainable development goals. Our main focus is on Three sustainability areas: Environment, Economy and Society where we worked on indicating the negative impacts of $AI$ on various targets of 17 SDGs. Building on the balanced scorecard, many approaches to the triple bottom line are based largely on accounting and reporting. In other words, firms identify social, environmental and economic metrics and track and report performance.