The involvement of AI in higher education requires solid policies that guide its use and help ensure it is both ethical and effective. This chapter reviews the range of challenges and benefits linked to using AI in education, calling for laws that are capable of keeping up with fast changes in technology. By examining current government rules in detail, the chapter points out serious deficiencies in present laws and provides complete methods for solving legal, social, and technical challenges. The topic addresses models for working with stakeholders, ways to cooperate with other countries, AI literacy programmes, auditing of the system, and what to invest in. Integrating insight from worldwide examples and multiple academic fields, this chapter proposes a unified guideline for policy creation that keeps in mind both innovations and responsibility, equity, as well as efficiency and technological progress, while respecting human needs. According to the framework, adaptable structures in governance should adapt with technology, yet keep ethical standards. At the end of the chapter, steps are suggested for policymakers, those leading institutions, and teachers, highlighting that using AI in higher education works best if the rules and culture support ethics, democracy, and fairness in the digital age.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Future Directions and Policy Implications: AI in Higher Education

  • Osamah Mohammed Jasim,
  • Pushkar Baranwal,
  • Nitisha Aggarwal,
  • Abhirup Nandy,
  • Geetika Jain Saxena,
  • Amit Pundir,
  • Sanjeev Singh

摘要

The involvement of AI in higher education requires solid policies that guide its use and help ensure it is both ethical and effective. This chapter reviews the range of challenges and benefits linked to using AI in education, calling for laws that are capable of keeping up with fast changes in technology. By examining current government rules in detail, the chapter points out serious deficiencies in present laws and provides complete methods for solving legal, social, and technical challenges. The topic addresses models for working with stakeholders, ways to cooperate with other countries, AI literacy programmes, auditing of the system, and what to invest in. Integrating insight from worldwide examples and multiple academic fields, this chapter proposes a unified guideline for policy creation that keeps in mind both innovations and responsibility, equity, as well as efficiency and technological progress, while respecting human needs. According to the framework, adaptable structures in governance should adapt with technology, yet keep ethical standards. At the end of the chapter, steps are suggested for policymakers, those leading institutions, and teachers, highlighting that using AI in higher education works best if the rules and culture support ethics, democracy, and fairness in the digital age.