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.

机器学习对社会的当前和未来影响进行了综合分析，包括经济影响、道德和隐私问题以及公众对这项技术的看法，调查显示大部分受访者对机器学习概念有一定了解，相信它对社会有益，认为应优先发展和使用机器学习，研究建议进一步探讨机器学习对社会的影响，建立更强的法律法规以保护个人隐私和权益，增加机器学习决策过程的透明度和问责性，加强公众对机器学习的教育和意识。

机器学习对社会的影响：当前趋势和未来影响的分析