The Impact of Machine Learning on Society: An Analysis of Current Trends
  and Future Implications
Md Kamrul Hossain Siam Manidipa Bhattacharjee Shakik Mahmud Md. Saem Sarkar Md. Masud Rana
The Machine learning (ML) is a rapidly evolving field of technology that has
the potential to greatly impact society in a variety of ways. However, there
are also concerns about the potential negative effects of ML on society, such
as job displacement and privacy issues. This research aimed to conduct a
comprehensive analysis of the current and future impact of ML on society. The
research included a thorough literature review, case studies, and surveys to
gather data on the economic impact of ML, ethical and privacy implications, and
public perceptions of the technology. The survey was conducted on 150
respondents from different areas. The case studies conducted were on the impact
of ML on healthcare, finance, transportation, and manufacturing. The findings
of this research revealed that the majority of respondents have a moderate
level of familiarity with the concept of ML, believe that it has the potential
to benefit society, and think that society should prioritize the development
and use of ML. Based on these findings, it was recommended that more research
is conducted on the impact of ML on society, stronger regulations and laws to
protect the privacy and rights of individuals when it comes to ML should be
developed, transparency and accountability in ML decision-making processes
should be increased, and public education and awareness about ML should be
enhanced.