What is ChatGPT?

• Generative AI is artificial intelligence capable of generating text, images, or other media – like ChatGPT and the tools listed below. Generative AI grew out of a field of AI study and practice called machine learning.
• Machine learning is a type of AI that uses algorithms trained on data sets to create models that enable machines to perform tasks that would otherwise only be possible for humans. When we put a bunch of these algorithms together in a way that allows them to generate new data based on what they’ve learned, we get a model or an engine tuned to generate a particular type of data. The engine that powers Chat GPT is a large language model.
• Large language models are a type of AI algorithm that use deep learning techniques and large data sets to understand, summarize, generate and predict new content.

People often use the term AI to mean all of these things, one of these things, or something altogether different.

Some guides:

• What Is Generative AI: A Super-Simple Explanation Anyone Can Understand by Bernard Marr at Forbes (September 2023).
• A simple guide to help you understand AI by By the Visual Journalism Team at BBC (July 2023).

And the controversial AI image generators:

DALL-E 2
Midjourney
Canva: Text to Image or Magic Edit
Padlet: I Can’t Draw
Adobe Firefly

Open Prompt Book from CampGPT at the Ed Tech Centre @ World Education: a resource for and by adult educators about how they use AI mostly as a brainstorming tool. As they report, “Over and over again in CampGPT, educators describe the use of chatbots as a great “starting point.” In fact, some find that using these tools is most effective for generating ideas rather than ready-to-use materials.” Here is a description of the Open Prompt Book: “In CampGPT, educators experimented with generative AI-enabled tools like chatbots and image generators to learn and explore together. Their work and insights have been compiled in the Open Prompt Book from CampGPT. Throughout this prompt book, you’ll learn more about generative AI, what educators use it for, and key tips and tricks.”

AI for Learning and Work from the Ed Tech Centre @ World Education: You can find the recordings of the four Generative AI EdTech Bytes that cover the applications and implications of generative AI for education (YouTube Playlist) plus a series of blog posts about the use of ChatGPT and AI in education.

ChatGPT: Leveraging AI to Support Personalized Teaching and Learning in the June 2023 Adult Literacy Education Journal by Sarah Cacicio and Rachel Riggs: a a resource for teachers/instructors with ideas for how to use ChatGPT for learning in an adult literacy setting.

My Digital Companion: Making Sense of ChatGPT from Contact North: a resource for students/learners to help them use ChatGPT safely, ethically and creatively for learning.

Leveraging ChatGPT Instead of Banning from Contact North: a resource for teachers/instructors with ideas for how to use ChatGPT for learning in a college setting.

10 Practical Ways Faculty and Instructors Can Use AI from Contact North

Contact North has a series of recorded webinars on the use of AI in education.

• ChatGPT: Threat or Menace?
• Content Creation Using AI: How AI Can Be Used to Build Courses and Learning Experiences
• ChatGPT, AI and The Future of Teaching and Learning: We All Need a Digital Assistant
• The Generative AI Mirror: The Five Pathologies of EdTech Discourse About New Technologies
• Navigating a World of Generative AI: Suggestions for Educators
• AI in Education: Innovate or Automate? Navigating the Pedagogical Crossroads

Super Tutor: AI to Support all Learners from Control Alt Achieve: a 1-hour training video that explores both AI tools (ChatGPT, Google Bard (now Gemini), Diffit, Eduaide, MagicSchoolAI, Brisk, Goblin Tools…) and practical uses (reading, writing, tutoring…) to help support learners. All the resources used in the video are included in a list on the page.

EdTech Teacher Chat GPT Tips by Tom Daccord: a resource for teachers/instructors with ideas for how to use ChatGPT for learning in a K-12 setting.

• Part 1 – Role-Playing Activities
• Part 2 – Quizzes and Tests
• Part 3 – Personalized Learning
• Part 4 – Teacher Writing Assistant
• Part 5 – Example Generator
• Part 6 – Creating Educational Games
• Part 7 – Language Learning
• Part 8 – Creative Writing
• Part 9 – Summarizing
• Part 10 – Feedback

AI Writing Tools by Erin Stapleton-Corcoran, CATE Instructional Designer and Patrick Horton, CATE Instructional Designer (2023)

“How to Approach AI Writing Tools in Your Classroom
While there is no universal approach to utilizing AI writing tools in your classroom, you should take into account different factors, including your course’s learning objectives, relevant disciplinary skills, and your level of comfort with the technology. As you create your unique AI usage guidelines, here are steps to help build your AI working policy.“

Teaching with AI: Stories of how educators are using ChatGPT and some prompts to help educators get started with the tool.

Akinator is a game that shows the questions machines ask to narrow down choices to pinpoint what a searcher is looking for. Think of a character (real or fictional), an animal or an object and answer the questions Akinator asks until it discovers what you are thinking of or gives up. The program sifts through all the data it contains after each response creating narrower and narrower categories until it can come up with a single guess. These are called decision trees.

To learn more about how data is used to train models, check out Slice of Machine Learning — an interactive tutorial that teaches you how to build a machine learning classification model using a decision tree where you can try to train a computer to identify pizza.

Quick Draw is a game that shows how AI learns to identify objects. Click Let’s play and try to draw the picture you are asked to draw. The program will try to guess what you are drawing as you go. Once you are finished playing, you are invited to see the ways other creators drew the items and how the program figured out – or didn’t – what you were drawing. You can see the complete data set it is using to make the guesses here: The world’s largest doodling data set. This is how we all contribute to to the AI datasets. We create things, put them on the internet, and programs are sent out to scrape our creations for the data they will use to create the next thing.

Some people say that using an LLM – large language model – like ChatGPT is like using a calculator but calculators do not show us content that is racist, sexist or homophobic. We can work on our critical thinking skills to adapt to a AI world but what is the benefit of being exposed to this type of content?

These Women Tried to Warn Us About AI by Lorena O’Neil at Rolling Stone Magazine (August 2023)

“Researchers — including many women of color — have been saying for years that these systems interact differently with people of color and that the societal effects could be disastrous: that they’re a fun-house-style distorted mirror magnifying biases and stripping out the context from which their information comes; that they’re tested on those without the choice to opt out; and will wipe out the jobs of some marginalized communities.”

What ChatGPT Tells Us about Gender: A Cautionary Tale about Performativity and Gender Biases in AI by Nicole Gross (June 2023)

“This paper’s central argument is that large language models work performatively, which means that they perpetuate and perhaps even amplify old and non-inclusive understandings of gender. Examples from ChatGPT are used here to illustrate some gender biases in AI. However, this paper also puts forward that AI can work to mitigate biases and act to ‘undo gender’.”

The Pear, You & AI by Valentine Goddard

“The Pear, You and AI is a women-led collaborative annotation initiative, designed as part of a larger project on Algorithmic Art to Counter Gender Bias in AI. In this initial phase, we are undergoing data collection based on your words and perceptions associated with words like women, beauty, imperfection.“

A People’s Guide to Artificial Intelligence by Mimi Onuoha and Diana Nucera a.k.a. Mother Cyborg via Allied Media Projects (PDF)

1. What does fairness look like when computers shape decision-making?
2. Who is creating the future, and how can we ensure that these creators reflect diverse communities and complex social dynamics?

“This zine, published in August 2018, explores these questions through a series of explanatory text and whimsically illustrated pages that takes the reader on a journey that demystifies the often opaque world of artificial intelligence.“

5 Ethical Implications of AI in Education: A Guideline for Responsible Classroom Implementation
by Luis Pardo (June 2023)

“A responsible AI implementation in a school context begins with careful planning and consideration of all stakeholders’ needs. This involves ensuring that AI tools are accessible and designed to accommodate diverse learning needs, including those of students with Special Educational Needs and Disabilities (SEND). Schools must ensure all students have access to the necessary technology to prevent the widening of the digital divide. The AI tools should be trained on diverse data sets to minimize algorithmic bias and should be designed to offer personalized learning experiences, considering each student’s unique learning pace and style.”

The Artificial Intelligence & Equality Initiative from the Carnegie Council for Ethics in International Affairs

“The Artificial Intelligence & Equality Initiative (AIEI) is an innovative impact-oriented community of practice seeking to understand the innumerable ways in which AI impacts equality for better or worse. We work to empower ethics in AI so that it is deployed in a just, responsible, and inclusive manner.”

AI and education: guidance for policy-makers from UNESCO (2021)

“…while AI might have the potential to support the achievement of the Sustainable Development Goals (SDGs) of the United Nations, the rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. And, while the main worries might involve AI overpowering human agency, more imminent concerns involve AI’s social and ethical implications – such as the misuse of personal data and the possibility that AI might actually exacerbate rather than reduce existing inequalities.”

One in five Canadians using generative artificial intelligence tools from KPMG (June 2023)

“A survey of 5,140 Canadians found 1,052 (20 per cent) have used generative AI to help them do their jobs or schooling. The most common uses include research, generating ideas, writing essays and creating presentations. Respondents say the use of the technology has enhanced productivity and quality, created revenue and increased grades but, in the process, they are engaging in behaviour that could create risks for their employers.”

More than one third of Canadian businesses experimenting with ChatGPT from KPMG (April 2023)

“A majority of Canadian businesses are aware of the risks of having poor quality data, with more than half (54 per cent) admitting they are very concerned their organization might be making decisions based on poorly designed AI algorithms, and yet only 44 per cent regularly retaining independent third-party experts to vet or assess their AI algorithms for errors and bias.”

Automation Nation? AI Adoption in Canadian Businesses from The Dais at the Toronto Metropolitan University (September 2023)

“In all businesses with five or more employees, as of the end of 2021, only 3.7 percent of firms say they had adopted artificial intelligence in any way.”

Canada’s AI imperative – From predictions to prosperity from Deloitte (November 2018)

Press release: AI adoption among Canadian businesses stagnant: Only 16 per cent of companies use AI, which remains unchanged since 2014 – Deloitte report finds Canadian consumers and businesses don’t understand or trust AI

“Truthfully, there are still many unknowns about general AI’s potential and humanity’s ability to grasp it. But regardless of whether we ever reach the point of general AI, there’s still a clear imperative for a country and its businesses to invest in AI technologies, and to shape the economic and social conditions required to foster their uptake.”