A Thorough Analysis of Artificial Intelligence’s Effect on Video Conference Platforms

A result of the COVID-19 pandemic, video conferencing still is a necessity in communication. In this paper we explore the use of artificial intelligence and machine learning (AI/ML) in video conferencing, with examples and discussions about the development of the technology, its limitations, and the privacy issues. Virtual backgrounds, real-time transcription, noise reduction among other AI powered features have made users experience and collaboration vastly better. Nevertheless, related issues as to privacy, cybersecurity and scalability still hinder adoption. The research tackles the influence AI has on the user experience, remote collaboration and accessibility, which necessitates seamless AI integration. It also identifies gaps in the research, including the tension between automation and user control, privacy concerns and the absence of metrics for AI performance. Future research should focus on long term user behavior, gaining better accessibility features, ethical implications and better data security. These issues will be solved, which will enable us to use AI to its fullest, making video conferencing platforms more secure, more effective and more user focused.