A computer service's capacity to perceive, reason about, and adapt to the environment is described in Artificial Intelligence, Employee Behavior, and Work Outcomes (AIBEWO). Complex and dynamic settings are no match for computer systems with superior artificial intelligence. To assist supervise their workforce, businesses are adopting AI solutions at a rapid pace. AI's appeal is due to two factors. Large volumes of data (also known as big data) regarding a business's activities are now available to companies, allowing them make highly competitive and successful management choices. Second, AI breakthroughs now allow businesses to gather and analyses this information in real time. Even in the most complicated and dynamic marketplaces, organizations may now integrate the newest updates into their decision-making. Although this is the case, employees who are now being managed and held responsible by AI face new problems. A future in which we all work with artificial intelligence (AI) is predicted. AI solutions are being created that have the ability to minimize prejudices and, as a consequence, allow more open and multicultural workplaces. Computers that can imitate intelligent behavior may not just influence the job we perform; they may also be able to assist decrease unfair discrimination inside companies. Engaged employees are driven and enthusiastic about their work, as per this section. To implement this, the paper gives several things: it provides the fundamental concepts underlying employee engagement, it discusses the factors necessary to ensure that AI encourages employee engagements, and issues of AI control and its impact on employee outcomes such as job satisfaction, meaningfulness, and retention. In this article, we look at the nature of diversity and inclusion (D&I), biases as a barrier to more diverse and inclusive workplaces. © 2021