AI

AI

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AI Is Dangerous, but Not for the Reasons You Think | Sasha Luccioni | TED
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.
·youtube.com·
AI Is Dangerous, but Not for the Reasons You Think | Sasha Luccioni | TED
Destination AI – CIFAR
Destination AI – CIFAR

Free, online. Learning outcomes Construct a Definition of Artificial Intelligence Discover the Societal Impact of Artificial Intelligence Describe the Inner Workings of an Artificial Intelligence Project

·cifar.ca·
Destination AI – CIFAR
First Nations and Artificial Intelligence Research Paper - Chiefs of Ontario
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
·chiefs-of-ontario.org·
First Nations and Artificial Intelligence Research Paper - Chiefs of Ontario
What Is Human-Centered AI (HCAI)? — updated 2025
What Is Human-Centered AI (HCAI)? — updated 2025
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.
·interaction-design.org·
What Is Human-Centered AI (HCAI)? — updated 2025
About – Abundant Intelligences
About – Abundant Intelligences
Abundant Intelligences is an Indigenous-led research program that conceptualizes, designs, develops, and deploys Artificial Intelligence based on Indigenous Knowledge systems.
·abundant-intelligences.net·
About – Abundant Intelligences
Google teaching responsible ai
Google teaching responsible ai
Lesson plan for teaching responsible use of AI, including digital & print handouts
·services.google.com·
Google teaching responsible ai
OpenAI Academy
OpenAI Academy
Free online courses for learning about AI
·academy.openai.com·
OpenAI Academy
From Cheating to Critical Thinking: How AI in the Classroom Can Empower Students - Learning-Focused
From Cheating to Critical Thinking: How AI in the Classroom Can Empower Students - Learning-Focused
More and more of my 8th-grade English Language Arts students have been using AI chatbots like ChatGPT and Grammarly to complete their writing assignments. This is concerning for several reasons, not the least of which is academic dishonesty. While it’s not difficult to pick out an essay written by ChatGPT, it can be difficult to…
·learningfocused.com·
From Cheating to Critical Thinking: How AI in the Classroom Can Empower Students - Learning-Focused
AI and Ethics - LEARN
AI and Ethics - LEARN
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 […]
·learnquebec.ca·
AI and Ethics - LEARN
Generative AI for Educators
Generative AI for Educators
You’ll explore how to use generative AI tools to assist your teaching practice by saving time on everyday tasks, personalizing instruction to meet student needs, and enhancing lessons and activities in creative ways.
·skillshop.exceedlms.com·
Generative AI for Educators
A social sciences and humanities reading list on AI in education The… | Ben Williamson
A social sciences and humanities reading list on AI in education The… | Ben Williamson
A social sciences and humanities reading list on AI in education The racializing forces of/in AI educational technologies https://lnkd.in/djEr2f7e Methodology, Legend, and Rhetoric: The Constructions of AI by Academia, Industry, and Policy Groups for Lifelong Learning https://lnkd.in/djju2kHB The future of AI and education: Some cautionary notes https://lnkd.in/dGeBX43Q AI and the University as a Service https://lnkd.in/eDkrvMF8 State of the art and practice in AI in education https://lnkd.in/dfK-HrZz The social life of AI in education https://lnkd.in/dCMxisyU Repackaging authority: artificial intelligence, automated governance and education trade shows https://lnkd.in/deRGu6Ss How the ‘taming’ of private education in China is impacting AI https://lnkd.in/dzeEEiau Against personalized learning https://lnkd.in/dbmKhYCh Deep learning goes to school: toward a relational understanding of AI in education https://lnkd.in/dRXQQGKY Unpacking the “Black Box” of AI in Education https://lnkd.in/dfXYbHz7 Generative AI and the (Re)turn to Luddism https://lnkd.in/dXTATkC7 Re-examining AI, automation and datafication in education https://lnkd.in/dUDq6qjE Just in case you need some research-informed material from many years of work in the social sciences and humanities (partial as this list is), given the AI pressure in education is only growing as industry and government actors have come to share expectations and desires.
·linkedin.com·
A social sciences and humanities reading list on AI in education The… | Ben Williamson