Advances in artificial intelligence (AI) are having a major impact on almost every field, including computer science, robotics, social engineering, psychology, and criminology. Technology along with the economy have changed rapidly due to the advent of artificial intelligence (AI). AI has successfully solved many challenges, but researchers have expressed concerns about potential security threats associated with AI algorithms and machine learning (ML). Today, data is collected pointlessly, recording all machine and human activity and analyzing the data needed in the future. But trust issues arise when data goes through many stages as it is analyzed by different parties. Data may contain sensitive or personal information that may be ignored by organizations involved in the analysis. The privacy issues related to AI and ML are divided into categories based on their unique security needs and threats possesed on the data. The existing security gaps and efficiency realted issues suggests avenues for future research to provide the seamless adoption of new applications in this area.