šŸ’” Introducing PowerNotes Insight: a NEW feature that gives educators control and confidence in an AI-enabled classroom. Learn more

The Great AI Debate in Education: How Universities Are Navigating the AI Revolution

PowerNotes
Posted On
March 15, 2023
Featured In
March 15, 2023
Share this article

Artificial intelligence (AI) is transforming various industries, and academia is no exception. With AI-powered tools like ChatGPT, DALL-E, and Elicit revolutionizing the way students complete assignments, universities across the country are grappling with the ethical implications and practical challenges of integrating these tools into their curriculums. We'll explore the current AI use policies at universities nationwide, delving into the more polarizing policies and discussing how software or tooling can help facilitate responsible AI adoption in the world of education.

Polarizing AI Use Policies

AI use policies at universities range from embracing AI tools in certain contexts to restricting or even prohibiting their use. While some institutions see AI as an inevitable part of the future, others are centrally focused on deterring cheating. This has led to two major categories of AI use policies:

  • Open and inclusive policies: These universities encourage the responsible use of AI tools for idea generation, brainstorming, and information synthesis. They emphasize the importance of skill development, ethical considerations, and proper attribution while allowing students to explore the potential of AI technology. These institutions often have specific guidelines for AI-generated content, including clear identification and citation requirements.
  • Restrictive and prohibitive policies: These universities prioritize academic integrity and worry about the potential for AI tools to facilitate cheating. As a result, they have stricter policies that limit the use of AI-generated content, sometimes even banning it outright. These institutions often have stringent consequences for policy violations, including academic penalties, course failures, or even expulsion.

Most AI Policies Lean Towards Responsible & Ethical Use

It seems as though there is consensus among most Institutions that AI is here to stay. Inclusive AI use policies in universities focus on embracing the potential of AI tools and integrating them into the educational experience in a responsible and ethical manner. These policies often encourage the use of AI for idea generation, brainstorming, and information synthesis while emphasizing skill development, ethical considerations, and proper attribution. Institutions with inclusive policies usually provide specific guidelines for using AI-generated content, including clear identification and citation requirements. By fostering an environment where students can explore AI technology responsibly and ethically, these universities aim to prepare students for the future while maintaining academic integrity.

Why Detection Wonā€™t Solve The Problem

While some universities establish strict consequences for policy violations, it's important to consider whether AI detection of AI-generated content is a zero-sum game. History of these kinds of policies in the educational system shows that individuals who are intent on cheating will cheat (we call these ā€˜dedicated cheatersā€™), and with enough determination find ways to circumvent detection systems. Instead of focusing solely on punitive measures, universities may benefit from fostering an environment that encourages responsible AI use and promotes a culture of academic integrity.

Themes Found Across Inclusive AI Use Policies

  1. Emphasis on original work: Many of the policies stress that assignments must be the student's own original work, and using AI-generated content without proper attribution is considered plagiarism.
  2. Guidelines for acceptable AI use: Some policies outline specific situations where AI tools are permitted, while others prohibit their use altogether. When allowed, students are often advised to use AI tools for brainstorming or idea generation rather than directly submitting the AI-generated content.
  3. Clear attribution and citation: If AI-generated content is used, many policies require students to clearly indicate which parts were generated by AI and provide proper citations, including the specific AI tool used.
  4. Penalties for violating AI policies: The consequences for violating AI use policies range from receiving a zero on the assignment to potential disciplinary action or failing the course. Some policies mention that violations may be treated as academic misconduct or plagiarism.
  5. AI tool limitations: Several policies mention the limitations of AI tools, such as the potential for inaccurate, incomplete, or biased information. Students are warned to use AI tools cautiously and to verify the information they generate.
  6. Encouragement for responsible AI use: A few policies encourage the responsible use of AI tools while acknowledging their potential benefits for idea generation and learning. These policies often provide guidance on when and how to use AI tools effectively and ethically.
  7. Academic integrity: Many policies highlight the importance of upholding academic integrity when using AI tools. Students are reminded that submitting AI-generated work without proper attribution is a violation of academic integrity policies.
  8. Instructor discretion and guidance: Some policies defer to the instructor's discretion in determining acceptable AI tool usage or provide specific guidance on when AI tools may be used in the course.
  9. Adapting to new technologies: A few policies recognize the evolving nature of AI tools and their potential impact on future careers. They also acknowledge the need for society to determine when and how these tools should be used in educational settings.
  10. AI as a learning tool: AI, including ChatGPT and image generation tools, is considered an emerging skill and an important pedagogical opportunity in education. Learning to use these tools responsibly is essential.
  11. Importance of academic honesty and attribution: Many policies emphasize the need for proper attribution when using AI-generated content. Failure to acknowledge AI assistance may result in a violation of academic honesty policies.
  12. Recognition of AI limitations: AI tools have limitations, such as providing inaccurate information or requiring refined prompts to produce quality results. Students are advised to verify any facts or data provided by AI tools.
  13. Instructor guidance and permissions: Some policies require students to obtain permission from the instructor before using AI tools in assignments. This ensures that students are aware of appropriate use and adhere to course expectations.
  14. Co-creation of class agreements: In some cases, students and instructors co-create agreements on AI tool usage, ensuring equal access, understanding of benefits and limitations, and alignment with academic integrity policies.
  15. Ethical considerations: Several policies highlight the importance of maintaining high ethical standards when using AI tools in educational settings.
  16. Suggestions for appropriate AI use: Policies provide examples of how AI can be used effectively, such as refining research questions, brainstorming ideas, drafting outlines, or improving grammar and style.

The Role of Software and Tooling in Promoting Responsible AI Use

As universities adapt to the rise of AI tools, software and tooling can play a vital role in promoting responsible AI integration in academic settings. Here are a few ways that technology can help:

  1. Attribution and citation assistance: Software can be developed to automatically generate proper citations for AI-generated content, making it easier for students to comply with attribution requirements.
  2. Activity logs: Version control gives us a good mental model for understanding how a product takes shape. Similar things can be done in tools to track progress over time.
  3. Insights & Scoring: AI-powered tools can provide Educators with the insights needed to assess progress, as well as confidence scores around a studentā€™s proof-of-work, which is central to the learning process.
  4. Flexibility: Software designers can choose to build features that provide more power to the professor, including which language models are used and provide controls for limiting their use to follow acceptable standards set by the Professor.
  5. Responsible copyright and data use policies: Universities care a lot about how services may use student data, especially their own original writing. Software developers need to consider studentsā€™ rights and develop ethical and transparent data use policies to ensure these rights are represented.
  6. Content quality guidance: AI-powered tools can be used to help evaluate the quality, accuracy, and relevance of both human-generated and AI-generated content, encouraging students to critically examine their work, the work born from AI, and develop essential skills theyā€™ll carry into the future.
  7. AI-powered feedback: Tools that provide feedback on AI-generated content can help students understand the limitations and biases inherent in AI-generated work, enabling them to make informed decisions about when and how to use AI tools.
  8. Educator support: Software and tooling can also assist educators in monitoring AI usage, guiding students in responsible AI adoption, and adjusting their teaching methods to address the challenges posed by AI integration.
  9. Honor pledges: Building in commitments made by students to uphold the university's policies on academic integrity and the responsible use of AI tools. By signing this pledge when creating or submitting work, students affirm that their work is produced in an authorized manner, and adheres to the institution's guidelines. The pledge serves as a reminder of the importance of ethical behavior in the academic environment and encourages students to take responsibility for maintaining the highest standards of academic honesty.

Conclusion

As the world of education continues to grapple with the rise of AI tools, it's clear that striking the right balance between embracing AI's potential and addressing its limitations will be key to shaping the future of education in the age of artificial intelligence. By examining the more polarizing policies and considering the role of software and tooling in promoting responsible AI use, universities can better navigate the integration of AI technology into their curriculums and foster an academic environment that upholds integrity, encourages critical thinking, and promotes ethical considerations.

ā€Disclaimer: AI was used to edit this post and generate the cover image.


Wilson Tsu is the Founder of PowerNotes and since 2017, has been committed to helping institutions improve their students' research, writing, and learning process.

Over the years, our academic partners have been an essential voice in helping to steer and mold PowerNotes into the robust kit of tools that it is today.

Today, we're seeing an opportunity to shift how schools and universities approach student assessment in the face of AI. If you'd like to be a part of these key conversations around the future of AI in education please reach out and let us know!