Focus:

• This article would address the ethical implications of using AI in education.

• It would examine issues such as data privacy, algorithmic bias, and the potential for AI to exacerbate existing inequalities.

• It would also discuss how to ensure that AI is used responsibly and ethically in educational settings.

• Key Points:

  • The importance of data privacy and security in AI-driven learning.

  • The need to address algorithmic bias and ensure fairness.  

    
    

  • The potential for AI to create new forms of inequality.

  • The importance of human oversight and ethical guidelines.

• Modern Relevance:

  • As AI becomes more prevalent in education, it's crucial to address the ethical challenges it poses.