Research on Privacy Protection and Data Security Technologies for Artificial Intelligence Large Models
With the rapid development of artificial intelligence(AI)technology,large AI models are being increasingly applied in various fields.However,these models face numerous challenges in terms of ethics,security,and governance.This paper aims to explore the challenges that large AI models pose in these aspects,as well as corresponding strategies to address them.Firstly,this paper analyzes potential ethical issues that large AI models may raise,such as data privacy,algorithmic discrimination,and decision transparency.To tackle these issues,we propose measures such as strengthening data protection,improving algorithm design,and enhancing transparency.Secondly,this paper discusses the security challenges faced by large AI models,including adversarial attacks,model leakage,and malicious use.To cope with these challenges,we suggest enhancing security protection,establishing a security audit mechanism,and formulating strict usage guidelines.Lastly,this paper explores how to establish an effective regulatory framework to ensure the compliance and sustainable development of large AI models.We propose strategies such as promoting community cooperation.It is hoped that by adopting appropriate measures,the risks posed by large AI models in terms of ethics,security,and governance can be significantly mitigated.
LLM(Large Language Models)ethical governancedata privacyalgorithmic discriminationdecision transparencysecurity protection
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