Teaching AI Ethics 2025: Introduction - Leon Furze
Over the next few months, I’ll be updating my 2023 Teaching AI Ethics collection. In this post, I’ll explain why the updates are necessary and give a recap on the nine original areas from the series. When I wrote the original series in 2023, ChatGPT was only just on people’s radars. I had started my […]
Digital Sobriety: An Ingredient for Success in Higher Education? | Observatoire sur la réussite en enseignement supérieur
Behavioural (lifestyle), physiological, biochemical or cognitive mechanisms are responsible for these impacts (Lemétayer, 2023). Most often, these mechanisms are interrelated, as in the case of sleep disorders, which can be caused by the encroachment of screen time on sleep time, by the effects of blue light and by cognitive overstimulation. Research also shows the psychosocial […]
Sobriety is rooted in an ethical reflection on digital technology, “so that individual actions are consistent with values such as preserving the environment, fighting climate change, and ensuring the physical and mental health of populations
We discuss how the human agency behind AI systems gets masked, and we've got a tool for you to play with that rephrases dodgy headlines
All AI systems are designed by humans, are programmed and calibrated to achieve certain results, and the outputs they provide are therefore the result of multiple human decisions.
overcoming bias in artificial intelligence begins with rigorous and honest critique, and a recognition of “the long history of western technology being used to the disadvantage of Indigenous people, Black people, poor people, and so on.”
Digital sobriety: how can we adapt our uses for a positive impact on the environment?
Digital sobriety is an approach that aims to reduce the environmental impact of digital technology. The French expression “la sobriété numérique” was coined in 2008 by the association 
AI Is Dangerous, but Not for the Reasons You Think | Sasha Luccioni | TED
AI won't kill us all — but that doesn't make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future — so it's inclusive and transparent.
First Nations and Artificial Intelligence Research Paper - Chiefs of Ontario
The Chiefs of Ontario’s Research and Data Management Sector has released a research paper analyzing the effects of Artificial Intelligence (AI) on First Nations in Ontario. AI is a powerful and disruptive technology. It has a great deal of potential, but this potential comes paired with serious risks for First Nations. This paper lays out
Human-centered AI refers to the development of AI technologies that prioritize human needs, values, and capabilities at the core of their design and operation.
Abundant Intelligences is an Indigenous-led research program that conceptualizes, designs, develops, and deploys Artificial Intelligence based on Indigenous Knowledge systems.
AI and Ethics Ethical Use of Artificial Intelligence in Schools There are many benefits of artificial intelligence (AI) applications in education. Many of these include personalized learning, automated assessment, predictive analytics, and chatbot guides. These applications leverage machine learning with predetermined algorithms created by humans and have shown promise to support teachers and students in […]
Indigenous Perspectives in AI - High School - Learning@CIFAR
It seems each time I highlight a new section of the course, it creates a new entry?
Each nation has its own worldview and cultural lens, but there is a shared belief that Indigenous knowledge is grounded in reciprocity and caring. The collective responsibility comes before personal gain. Through this viewpoint we see AI’s purpose as serving the common good of people, instead of corporate profits.
3 courses on Indigenous perspectives in AI
High school
Undergrad
Postgrad
Free
From the high school intro "This module is not a technical AI training manual. It will not address how to code or design neural networks. Rather, the module encourages you to think about the value, purpose, and practices of AI work."