• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

  • Articles
    • Public Policy
    • Privacy & Security
    • Human Rights
      • Ethics
      • JEDI (Justice, Equity, Diversity, Inclusion
    • Climate
    • Design
      • Emerging Technology
    • Application & Adoption
      • Health
      • Education
      • Government
        • Military
        • Public Works
      • Labour
    • Arts & Culture
      • Film & TV
      • Music
      • Pop Culture
      • Digital Art
  • Columns
    • AI Policy Corner
    • Recess
    • Tech Futures
  • The AI Ethics Brief
  • AI Literacy
    • Research Summaries
    • AI Ethics Living Dictionary
    • Learning Community
  • The State of AI Ethics Report
    • Volume 7 (November 2025)
    • Volume 6 (February 2022)
    • Volume 5 (July 2021)
    • Volume 4 (April 2021)
    • Volume 3 (Jan 2021)
    • Volume 2 (Oct 2020)
    • Volume 1 (June 2020)
  • About
    • Our Contributions Policy
    • Our Open Access Policy
    • Contact
    • Donate

Tech Futures: Introducing the Resist List

May 25, 2026

✍️ By Sarah Ruth and Marion Meyers

Sarah is a researcher committed to building critical AI literacies and worked as a copywriter on the Resist List.

Marion is an independent researcher focused on AI and degrowth, and worked as a project manager on the Resist List.


📌 Editor’s Note: This article is part of our Tech Futures series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Responsible Artificial Intelligence Network (RAIN). The series challenges mainstream AI narratives, proposing that rigorous research and science are better sources of information about AI than industry leaders. This ninth instalment of Tech Futures explores the growing movement of individuals and collectives working to counter the dominant narratives of AI’s inevitability and introduces the AI Resist List, a newly launched resource that details such efforts happening around the globe.


The last edition of the Tech Futures series explored the AI inevitability narrative, its roots in eugenics ideologies, the ways it is used to justify extractive practices that exacerbate the climate crisis, and its parallels with science fiction. And yet, amid negative news cycles, narratives of AI inevitability remain pervasive. 

Distracting lawsuits, claims about capability advancements, and rumours of OpenAI’s IPO are often wrapped in language about AI’s inevitability. Ultimately, they tend to instil fear in the public and quiet questions about why many AI systems are being built in the first place. 

But it’s not only the media and AI industry that further narratives of inevitability. Governments are demanding a plan to deal with AGI and cementing AI know-how as a crucial skill and defining feature in the future of work, when they could instead be questioning the industry’s development at large or, at the very least, developing meaningful governance, limitations, or policies. 

Some have called the narrative of inevitability a key component and mechanism for the increasing rise of technofascism. Explained by the tech ethics scholar Mark Coeckelbergh as “the fusion of technological pervasiveness with fascist tendencies and conditions,” technofascism explains how technologies increase capitalist control and privilege authoritarian politics. 

If technofascism is intended to suppress political speech and silence resistance to the state or capitalism, as suggested by Joan Donavan, then it is all the more important to push back and build solidarity amongst the people and communities working to reshape and reimagine a future of meaningful beneficence. 

Just this week, Karen Hao, the DAIR Institute, We and AI, and the Refugee Law Lab at York University launched a project that encapsulates and highlights just how wide this global movement of resistance to AI already is. 

The AI Resist List is a curated journalistic resource that showcases examples of people, communities, and organisations combating the scale-at-all-costs approach to AI development happening around the world. The project was built on the collaborators’ shared belief that the future of AI is a shared decision, one that should be led by community needs rather than the ideologies and financial goals of a few tech companies. 

At a time when more and more people are concerned about AI and its effects on their everyday lives, the project is timely in its aim to counter the rise of technofascism and to provide inspiration and hope for a better alternative. The AI Resist List is designed to appeal to a variety of audiences, from those who are deep in the trenches, raising awareness and fighting against AI inevitability narratives, to those who have become disillusioned about their limited role in technology. It is also for those who simply aren’t sure why talk of AI sometimes feels eerie, cringe, or a little off, or who are simply feeling overwhelmed by the endless string of absurd claims about AI from Big Tech executives, politicians, journalists, and so on. The AI Resist List is here to help diverse audiences realise that they are not alone in their uncertainties and that there are options to counter AI hype.

The AI Resist List is rooted in We and AI’s Resisting, Refusing, Reclaiming, Reimagining framework for challenging AI inevitability as well as Hao’s depiction of the current shape of the AI industry as an empire. It specifically took inspiration from Choose Democracy’s Resist List against authoritarianism to define a set of “pillars of support” that uphold and perpetuate the empire, namely:

  • Narratives
  • Funding
  • Data
  • Resource extraction
  • Data centers
  • Labour 
  • Adoption
  • Surveillance
  • Policy

Some projects featured on the list are rejecting  Big Tech, like the South Island School in Hong Kong, where students and teachers are ridding the tech giants from their classrooms and are instead trialing alternative technologies and platforms like Pixelfed, an open-source alternative to Instagram. Others, such as O Panóptico in Brazil, are monitoring how surveillance technologies like facial recognition are used in public security systems. 

The AI Resist List contains a section dedicated to showcasing the ways in which communities, organisations, and individuals are already reimagining and reclaiming AI to build alternative futures. It includes initiatives such as Te Hiku Media’s Te Reo Māori speech-recognition tool, built on the basis of community consent and interest, and the permacomputing movement, which seeks to reimagine the extractive relationship between computing, people, and the planet. 

What the database shows is that there are many ways to resist the AI empires and Big Tech. While the AI Resist List is a journalistic and research attempt to capture current efforts, We and AI’s notinevitable.ai will be an associated forum for writing, research and discourse related to the theory, practice and stories that accompany it.

If you are working on an initiative that argues for a future that is collectively decided, against inevitability or technofascism, you are encouraged to contribute to the growing repository.

The future of AI is in our hands, but we cannot idly expect it to follow the interests of the many. The AI Resist List and notinevitable.ai database remind us that we can change the narratives and practices surrounding emerging technologies, and that we are not alone in wanting better approaches to AI.

You can stay up to date or connect with those building alternative futures via the AI Resist List contact form. 

Image credit: Image created by Yemariam Mamo and Pauline Wee for the AI Resist List

Want quick summaries of the latest research & reporting in AI ethics delivered to your inbox? Subscribe to the AI Ethics Brief. We publish bi-weekly.

Primary Sidebar

🔍 SEARCH

Spotlight

Tech Futures: Introducing the Resist List

An abstract spiral of dark circles appears at the centre, resembling a tornado. Several vintage magazine covers and advertisements are being drawn toward the spiral. The artworks that have already been pulled into it are becoming distorted and replaced with clusters of numbers representing their numerical embeddings.

Tech Futures: Better Imagination for Better Tech Futures

This image is a collage with a colourful Japanese vintage landscape showing a mountain, hills, flowers and other plants and a small stream. There are 3 large black data servers placed in the bottom half of the image, with a cloud of black smoke emitting from them, partly obscuring the scenery.

Tech Futures: Crafting Participatory Tech Futures

A network diagram with lots of little emojis, organised in clusters.

Tech Futures: AI For and Against Knowledge

A brightly coloured illustration which can be viewed in any direction. It has many elements to it working together: men in suits around a table, someone in a data centre, big hands controlling the scenes and holding a phone, people in a production line. Motifs such as network diagrams and melting emojis are placed throughout the busy vignettes.

Tech Futures: The Fossil Fuels Playbook for Big Tech: Part II

related posts

  • AI Policy Corner: U.S. Executive Order on Advancing AI Education for American Youth

    AI Policy Corner: U.S. Executive Order on Advancing AI Education for American Youth

  • Recess: Reprogramming the Public Sphere: AI and News Visibility on Social Media

    Recess: Reprogramming the Public Sphere: AI and News Visibility on Social Media

  • Regulating Artificial Intelligence: The EU AI Act - Part 1

    Regulating Artificial Intelligence: The EU AI Act - Part 1

  • AI Policy Corner: Singapore's National AI Strategy 2.0

    AI Policy Corner: Singapore's National AI Strategy 2.0

  • Can we blame a chatbot if it goes wrong?

    Can we blame a chatbot if it goes wrong?

  • The Paris AI Summit: Deregulation, Fear, and Surveillance

    The Paris AI Summit: Deregulation, Fear, and Surveillance

  • AI Governance on the Ground: Canada’s Algorithmic Impact Assessment Process and Algorithm has evolve...

    AI Governance on the Ground: Canada’s Algorithmic Impact Assessment Process and Algorithm has evolve...

  • This image shows a large white, traditional, old building. The top half of the building represents the humanities (which is symbolised by the embedded text from classic literature which is faintly shown ontop the building). The bottom section of the building is embossed with mathematical formulas to represent the sciences. The middle layer of the image is heavily pixelated. On the steps at the front of the building there is a group of scholars, wearing formal suits and tie attire, who are standing around at the enternace talking and some of them are sitting on the steps. There are two stone, statute-like hands that are stretching the building apart from the left side. In the forefront of the image, there are 8 students - which can only be seen from the back. Their graduation gowns have bright blue hoods and they all look as though they are walking towards the old building which is in the background at a distance. There are a mix of students in the foreground.

    Tech Futures: Co-opting Research and Education

  • AI Policy Corner: Restriction vs. Regulation: Comparing State Approaches to AI Mental Health Legisla...

    AI Policy Corner: Restriction vs. Regulation: Comparing State Approaches to AI Mental Health Legisla...

  • The undying sun hangs in the sky, as people gather around signal towers, working through their digital devices.

    Dreams and Realities in Modi's AI Impact Summit

Partners

  •  
    U.S. Artificial Intelligence Safety Institute Consortium (AISIC) at NIST

  • Partnership on AI

  • The LF AI & Data Foundation

  • The AI Alliance

Footer


Articles

Columns

AI Literacy

The State of AI Ethics Report


 

About Us


Founded in 2018, the Montreal AI Ethics Institute (MAIEI) is an international non-profit organization equipping citizens concerned about artificial intelligence and its impact on society to take action.

Contact

Donate


  • © 2025 MONTREAL AI ETHICS INSTITUTE.
  • This work is licensed under a Creative Commons Attribution 4.0 International License.
  • Learn more about our open access policy here.
  • Creative Commons License

    Save hours of work and stay on top of Responsible AI research and reporting with our bi-weekly email newsletter.