AI Guidelines / Policies in Your Region, Organization?

Dare we utter the trending topic almost everywhere? But I was impressed when one of my Google alerts sent me to the Kwantlen Polytechnic University’s Teaching and Learning Commins new site: Generative AI for Teaching and Learning at KPU

What is Generative AI? site at KPU

So what is going on at your institution or at the regional level? I started looking around high level and found:

Then I started some searches at the country level like,,

Finding much of this is available the OCED AI Observatory

There is much going on, right? How is your institution, organization addressing the wave of AI?

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I have been working on a national survey on AI to support instruction and learning at higher ed institutions and organizations across the U.S. for the WICHE Cooperative for Educational Technologies. We hope to release the report by the end of this month. I’ll be previewing the findings in a webinar on June 20th at 11:00 AM - 12:00 PM MT. It is free and open to all. You can see more info and register at Supporting Instruction and Learning Through Artificial Intelligence - WICHE Cooperative for Educational Technologies.


At World Education, we’ve been engaging educators in a few ways to gather and share information through our Leveraging AI for Learning and Work initiative. Here are some things we have going on:

Keeping an eye on various initiatives regarding policy, as well. UNESCO and OET that you mentioned have been helpful. I find the Collective Intelligence Project to be intriguing, too. Still working through reading that white paper… lots to read and take in right now!


Registered! Thanks for sharing, Judith.

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My pleasure, Rachel!

Here are two further AI sessions I am aware of.
A keynote for a recent EuroCALL spring festival based around uses of AI for language teaching
An upcoming webinar by Future Teacher on Getting digitally savvy on 29th June Register here.
Lots of conversations which is fab. I think there is a lack of understanding however of the use of the word Open when it comes to AI - something this group could usefully comment on maybe?

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Thanks Teresa, I encourage you and everyone else to post events over in the OE Events corner of this messy community.

I was more looking for examples of policies and guidelines organizations are creating/sharing regarding the slippery field we are navigating (or its navigating us).

Quite ironic, well sadly/sickly ironic, open washing indeed. I’ve made a number of sarcastic comments, but that’s my usual NI language.

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Okay this is a relevant resource that came my way via Mastodon… Lance Eaton has collected a google doc of classroom policies for AI use, so ways instructors are modifying their syllabi to address the impending challenge.

the direct link (and its open to add more examples, yay crowd sourcing!)

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Just keeping the pulse going here-- The Russell Group (24 universities UK) has published Principles on the use of Generative AI Tools in Education not policy per se but may have some influence (?)

These include:

1. Universities will support students and staff to become AI-literate.

2. Staff should be equipped to support students to use generative AI tools effectively and appropriately in their learning experience.

3. Universities will adapt teaching and assessment to incorporate the ethical use of generative AI and support equal access.

4. Universities will ensure academic rigour and integrity is upheld.

5. Universities will work collaboratively to share best practice as the technology and its application in education evolves.

Found via a helpful critical review by @helen.beetham

Thank you Alan for mentioning my post. If a critical review of the Russell Group principles on AI sounds a bit dry for a Friday read, there are cat pictures :slight_smile:

I can deal with both! I’d love to instigate more critical conversations here…

But here’s Ollie…

2023/265/106 I Izz Sweet flickr photo by cogdogblog shared into the public domain using Creative Commons Public Domain Dedication (CC0)

And more! A newly released working paper from Modern Language Association (MLA) and Conference on College Composition and Communication (CCCC) – MLA-CCCC Joint Task Force on Writing and AI Working Paper: Overview of the Issues, Statement of Principles, and Recommendation

This working paper discusses the risks and benefits of generative AI for teachers and students in writing, literature, and language programs and makes principle-driven recommendations for how educators, administrators, and policy makers can work together to develop ethical, mission-driven policies and support broad development of critical AI literacy.

We invite you to comment on the working paper to help inform the task force’s ongoing activities. We intend for this to be the first of subsequent working papers that will be developed as the task force receives feedback and identifies priorities in the coming year.

Comments on the announcement link above or go directly to the working paper (PDF)

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Also worth noting is a post from Selena Deckelmann, Chief Product and Technology Officer at Wikimedia Foundation on principles for use of generative AI content. If you do not know, Wikipedia is the largest source of training data for large language models.

Selena opens with starting with a provocative question:

If there was a generative artificial intelligence system that could, on its own, write all the information contained in Wikipedia, would it be the same as Wikipedia today?

Still keeping my eyes out and ears open here. I can see my colleague Bryan Alexander is doing the same, he has cast a call from his blog asking, for campuses where classes start in in a few weeks, what policies/guidelines are being developed:

as well as a related article in his new Academics and AI substack

In both he has written about fascinating work at College Unbound by Lance Eaton – so a plug for Tuesday’s OEG Live where Lance will be one of our panelists.

AI, eh?

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In case anyone has not yet read it, there is an excellent Blueprint for an AI Bill of Rights for Education from Katie Conrad, published as an early release from a new journal Critical AI. Lots to interest OpenEd ppl:

This is exactly what I was criticising the Russell Group principles for not being/doing.

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Well much later and following on the other discussions here that @paulstacey started (see ones tagged ask-ai), nice to note that my country, Canada, has published a guide on the use of Generative AI (thanks @Downes who posted this).

From this guide, the practices for all users of generative AI in Canadian federal institutions seem very reasonable, as practice for more of us (?)

  • Review generated content to ensure that it aligns with GC commitments, values and ethics and meets legal obligations. This includes assessing for biases or stereotypical associations.
  • Formulate prompts to generate content that provides holistic perspectives and minimizes biases.
  • Strive to understand the data that was used to train the tool, for example, where it came from, what it includes, and how it was selected and prepared.
  • Learn about bias, diversity, inclusion, anti-racism, and values and ethics to improve your ability to identify biased or discriminatory content.
  • Notify recipients when content has been produced by generative AI.

And also again, for those tracking AI policy, it looks like the OECD policy observatory is a key place to understand the space on a global scale – I’d still be curious for people from the countries listed to comment on (a) how current the dashboard is and (b) how widely known are these policies?

Also note the interesting data driven visualizations for trends like Contributions to public AI projects by country and project popularity, Share of women in AI scientific publications by country, or how about AI courses in English word cloud by sub-discipline – accountancy??

This is a fascinating site to explore…

Hey all, you’ll like this run down from AI x Education of different policies regarding AI. From government level (report from Office of EdTech in US) to classroom level. Enjoy!

Surely since this thread started last june there’s some solid movement, developments, actions on the policy front? What’s going on where you are?

Thought of this from a new talk for Maskwacis Cultural College on Introduction to AI Policies, Guidelines, and Frameworks presented/ shared by Stephen Downes @Downes

Waking up this thread again, to add a new EDUCAUSE Review article out by Esther Brandon, Lance Eaton, Dana Gavin and Allison Papini

I heard about this from Lance Eaton’s most usedul Substack newsletter, AI + Education = Simplified:

in which he shares a padlet that includes a whole long collection of University AI policies a resource worth noting and worth contributing to.