10 Recommendations for Academic Integrity Action: An AI-Assisted Experiment

January 27, 2025

I worked with a GenAI LLM (Claude) to create an infographic based on this open access article that I wrote:

Eaton, S. E. (2022). New priorities for academic integrity: equity, diversity, inclusion, decolonization and Indigenization. International Journal for Educational Integrity, 1-12. https://doi.org/10.1007/s40979-022-00105-0 

Here’s the result:

An AI-generated infographic with 10 circles, each of a different colour, with black text inside each of them.
AI-Generated infographic summarizing key ideas in a research article.

I wanted to see how #AI could be used to help with knowledge mobilization and communicating complex research ideas in simple and visually appealing ways. I am not 100% happy with this, but I am also not entirely unhappy. I am curious to see how researchers and scholars can use AI to help make our research more digestible to the general public.

At the end of the experiment, I asked Claude: Based on our interaction just now, what would you say are the benefits and drawbacks of working with AI to create infographics to share findings of research articles?

Claude’s reply:

“I can identify several key benefits and drawbacks of using AI to create infographics for research articles:

Benefits:

  1. Rapid Prototyping and Ideation
  • Quick generation of multiple concept ideas (as shown when I suggested 4 different infographic approaches)
  • Fast iteration based on feedback (like when we added your name and citation)
  • Ability to quickly visualize complex concepts from text
  1. Structured Organization
  • Systematic breakdown of complex research findings into visual elements
  • Logical arrangement of information hierarchies
  • Consistent application of design principles
  1. Customization and Flexibility
  • Ability to modify designs based on specific requests
  • Easy incorporation of branding elements or author attribution
  • Adaptable to different formats and styles
  1. Technical Precision
  • Exact color codes and measurements
  • Consistent spacing and alignment
  • Precise vector graphics that maintain quality at any size

Drawbacks:

  1. Format and Output Limitations
  • Cannot directly generate common file formats like JPG or PowerPoint
  • Unable to provide downloadable files
  • Limited to specific output formats (in our case, SVG)
  1. Technical Barriers
  • Users need to know how to convert or adapt the outputs
  • May require additional tools or software to get desired final format
  • Some technical knowledge needed to implement suggestions
  1. Creative Constraints
  • Limited to certain types of visual representations
  • May not capture nuanced design choices that a human designer would make
  • Restricted by pre-programmed design patterns
  1. Implementation Challenges
  • Gap between AI suggestions and practical implementation
  • Need for manual conversion or recreation in other software
  • Extra steps required to get to final usable format
  1. Quality Control Requirements
  • Need for human oversight and verification
  • May require professional designer input for polishing
  • Could need additional refinement for professional publication

For optimal results, it seems the best approach would be to use AI as a rapid prototyping and ideation tool, then work with a professional designer or use appropriate software to create the final, polished version in the desired format. This combines the efficiency of AI for initial concept development with the precision and format flexibility of professional design tools.”

Note: The numbering issue is a function of formatting in WordPress. I’ll fix that later.

This was an interesting experiment. I’ll be interested to see how AI apps can help us better communicate our research and scholarship to members of the general public.

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Sarah Elaine Eaton, PhD, is a Professor and Research Chair in the Werklund School of Education at the University of Calgary, Canada. Opinions are my own and do not represent those of my employer.


Postplagiarism in THE

January 15, 2025

How lovely to wake up this morning and see an article about postplagiarism in Times Higher Education. Karen Kenny from Exeter University writes about the six tenets and then extends the discussion to assessment.

It seems that the idea of postplagiarism is catching on. Dr. Rahul Kumar and I have launched a postplagiarism online community, where we share blogs, news, articles, and translations of the work into other languages. You can check out all our resources over on our other site.

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This blog has had over 3.7 million views thanks to readers like you. If you enjoyed this post, please ‘Like’ it using the button below or share it on social media. Thanks!

Sarah Elaine Eaton, PhD, is a Professor and Research Chair in the Werklund School of Education at the University of Calgary, Canada. Opinions are my own and do not represent those of my employer. 


The GenAI Gender Gap

January 10, 2025

There is a gender gap when it comes to GenAI.

Just 26.3% of the European Union’s artificial intelligence (AI) professionals are women, according to a report from LinkedIn.

In my work with of the Women for Ethical AI (W4EAI) UNESCO platform, we had similar findings in our gender outlook study.

An AI-generated image of a group of women.

There are no easy solutions to this gap, but for those working in this area, some five concrete things you can do to promote gender inclusion (and equity in general) are:

  • 
Invite women into leadership roles, strategic planing for artificial intelligence and advanced technology.
  • Ensure that policies explicitly include women, girls, and other equity-deserving groups.
  • Invite women (and in particular, early career women and those who are precariously employed) to share and showcase their expertise and knowledge (and compensate them for their contributions).
  • Create formal sponsorship programs for women and girls who want to develop their knowledge and cp-competencies related to AI, with ongoing opportunities for learning and skill development.
An AI-generated image of a group of women.

There are a myriad of ethical complexities when it comes to artificial intelligence and gender is only one of them. Acknowledging inequalities and then working to support equity, fairness, and justice will remain ongoing work in the years to come.

References

AI in the EU: 2024 Trends and Insights from LinkedIn. (2024). https://economicgraph.linkedin.com/content/dam/me/economicgraph/en-us/PDF/AI-in-the-EU-Report.pdf

United Nations Educational Scientific and Cultural Organization (UNESCO). (2024). UNESCO Women for Ethical AI: Outlook study on artificial intelligence and gender. https://unesdoc.unesco.org/ark:/48223/pf0000391719

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This blog has had over 3.7 million views thanks to readers like you. If you enjoyed this post, please ‘Like’ it using the button below or share it on social media. Thanks!

Sarah Elaine Eaton, PhD, is a Professor and Research Chair in the Werklund School of Education at the University of Calgary, Canada. Opinions are my own and do not represent those of my employer. 


Upcoming Talk: From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education

January 3, 2025
An promo announcement on a white background. There is a red stripe down the left-hand site. The University of Calgary logo appears on the top right. The following text is written in black, orange and red:
From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education
The first 2025 public presentation about #Postplagiarism
is now open for registration!

Free and open to the public.
Join us in person or via webinar.
January 29, 2025| 12:00 – 13:00 Mountain time

https://workrooms.ucalgary.ca/event/3854045

Join us for our first presentation of 2025:

From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education

Format: Hybrid (in person or live stream)

I am delighted to kick off a speaker series on GenAI hosted by my colleague, Dr. Soroush Sabbaghan, through the Centre for Artificial Intelligence Ethics, Literacy, and Integrity (CAIELI) at the University of Calgary.

Description

Generative AI (GenAI) is transforming teaching, learning, and assessment in higher education.

Learn to integrate GenAI effectively while maintaining academic integrity and enhancing student agency.

Dr. Sarah Eaton shares innovative strategies that promote critical thinking and original scholarship. Explore how GenAI reshapes academic practices and discover proactive approaches to leverage its potential.

This session equips educators, administrators, and policymakers to lead purposefully in a dynamic academic landscape.

Speaker bio

Sarah Elaine Eaton is a Professor and research chair at the Werklund School of Education at the University of Calgary (Canada). She is an award-winning educator, researcher, and leader. She leads transdisciplinary research teams focused on the ethical implications of advanced technology use in educational contexts. Dr. Eaton also holds a concurrent appointment as an Honorary Associate Professor, Deakin University, Australia.

More Details

Date: January 29, 2025

Time: 12:00 – 13:00 Mountain time

This talk is free and open to the public, but there are only 20 seats available to join us in person! We can also accommodate folks online.

Get more details and register here.

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This blog has had over 3.7 million views thanks to readers like you. If you enjoyed this post, please “like” it or share it on social media. Thanks!

Sarah Elaine Eaton, PhD, is a Professor and Research Chair in the Werklund School of Education at the University of Calgary, Canada. Opinions are my own and do not represent those of my employer. 


Future-proofing integrity in the age of artificial intelligence and neurotechnology: Prioritizing human rights, dignity, and equity

November 13, 2024

Once a year I write an editorial for the International Journal for Educational Integrity. I take a big idea, ground it in literature written by some of the best in the world and then call for ways to improve our field even more. In 2023 I wrote about Postplagiarism and in 2022, I focused on equity, diversity, inclusion, accessibility and decolonization as new priorities for academic integrity. Here is this year’s editorial:

Future-proofing integrity in the age of artificial intelligence and neurotechnology: prioritizing human rights, dignity, and equity

A screenshot of an article title page. There is black text on a white background with a green banner at the top.
Here is a link to the original: https://edintegrity.biomedcentral.com/articles/10.1007/s40979-024-00175-2

Abstract

In this article I argue for the prioritisation of human rights when developing and implementing misconduct policies. Existing approaches may be perpetuate inequities, particularly for individuals from marginalised groups. A human-rights-by-design approach, which centres human rights in policy development, revision, and implementation, ensuring that every individual is treated with dignity and respect.

Recommendations for implementing a human-rights approach to misconduct investigations and case management are offered, covering areas such as procedural fairness, privacy, equity, and the right to education. Additional topics covered are the need to limit surveillance technologies, and the need to recognize that not all use of artificial intelligence tools automatically constitutes misconduct. I disentangle

the differences between equity and equality and explain how both are important when considering ethics and integrity. A central argument of this paper is that a human-rights-by-design approach to integrity does not diminish standards but rather strengthens educational systems by cultivating ethical awareness and respect for personhood. I conclude with a call to action with a seven-point plan for institutions to adopt a human-rights-based approach to ethics and integrity. In the age of artificial intelligence and neurotechnology, insisting on human rights and dignity when we investigate and address misconduct allegations is an ethical imperative that has never been more important.

Keywords Academic misconduct, Academic dishonesty, Plagiarism, Policy, Human rights, Restorative justice, Artificial intelligence, Neurotechnology, Higher education, Education

Commentary

As I reflect on the current state of academic and research integrity, I am struck by a glaring omission in our discussions: the connection between misconduct and human rights. We often treat these as separate entities, failing to recognize the profound impact that misconduct investigations and policies can have on the fundamental rights of individuals. This oversight is particularly concerning in the age of artificial intelligence (AI) and neurotechnology, where the potential for harm is magnified.

Take, for example, the case of a professor in Canada who physically assaulted international students accused of plagiarism. This horrifying example demonstrates how the pursuit of academic integrity can be twisted into a justification for degrading and inhumane treatment, violating the very principles of dignity and respect that should guide our actions. While this is an extreme case, it highlights the need for a fundamental shift in our approach.

In this editorial, I offer a call to action to move beyond simply adhering to legal requirements and embrace a ‘human-rights-by-design’ approach that embeds human rights principles into our policies and practices. This means ensuring procedural fairness throughout investigations, safeguarding the privacy of individuals, and recognizing the right to be presumed innocent until there is proof to the contrary. It also requires us to acknowledge the diverse backgrounds and circumstances of our students and staff, striving for equitable treatment that addresses systemic inequalities and provides the support needed for everyone to succeed.

In the face of rapidly evolving technologies like AI, we must be especially vigilant in upholding human rights. The temptation to rely on unproven AI detection tools or to rush to judgement based on suspicion rather than evidence is strong, but it is a path that leads us away from justice and fairness. We cannot allow fear or expediency to erode our commitment to human dignity.

By centring human rights in our approach to integrity, we can create educational and research environments that are not only ethically sound but also truly just and equitable. This is not about lowering standards; it is about building a culture of integrity that upholds the inherent worth of every individual.

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This blog has had over 3 million views thanks to readers like you. If you enjoyed this post, please “like” it or share it on social media. Thanks!

Sarah Elaine Eaton, PhD, is a Professor and Research Chair in the Werklund School of Education at the University of Calgary, Canada. Opinions are my own and do not represent those of my employer.