Abstract
<jats:p>The phrase artificial intelligence (AI) describes a machine or software's ability to simulate intelligent human behavior, perform instantaneous computations, and evaluate new data based on previously evaluated data. AI is typically integrated with both software and hardware, with its primary focus being on algorithms from a software perspective. AI employs a variety of algorithms to identify complicated non-linear relationships in large datasets (analysis). Machines learn by fixing tiny algorithmic flaws (training), which improves prediction model accuracy (confidence). The legal and ethical issues that confront society due to AI include privacy and surveillance, bias, or discrimination, and potentially the philosophical challenge. Concerns about newer digital technologies becoming a new source of inaccuracy and data breaches have arisen because of their use. This article attempted to address these pertinent issues, highlighting the need for algorithmic transparency, privacy, and protection for all the beneficiaries involved, as well as the cybersecurity of associated vulnerabilities.</jats:p>