Artificial Intelligence in Academia

Artificial Intelligence in Academia

Ethical use without plagiarism – A practical guide



Sub Category

  • Other Teaching & Academics

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Objectives

  • Critical Evaluation: Ability to assess AI outputs with caution and verify accuracy through triangulation.
  • Ethical Awareness: Understanding of plagiarism risks and principles of academic integrity in AI use.
  • Transparency Practice: Confidence in disclosing AI support responsibly to build trust and credibility.
  • Risk Management: Skills to identify and handle fabricated data, misquoted sources, and outdated information.
  • Strategic Application: Practical strategies for using AI efficiently in academic tasks without compromising originality.
  • Resilience and Empowerment: Capacity to resist AI shaming and foster constructive, ethical engagement with technology.


Pre Requisites

  1. There are no specific requirements for taking this course. It's open and accessible to all individuals.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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