• 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

Why AI Ethics Is a Critical Theory

March 2, 2022

🔬 Research summary by Connor Wright, our Partnerships Manager.

[Original paper by Rosalie Waelen]


Overview: How can we solve the problems associated with the principled approach to AI Ethics? One way to do so is to focus on AI Ethics as a critical theory. This all begins with exploring how AI principles could all bear a common thread in the form of power, emancipation and empowerment.


Introduction

The principled AI approach has taken centre stage in approaches to AI Ethics, especially in the governmental arena. The outlook aims to deal with the ethical problems that arise from AI as an object (such as facial recognition technology) and as a subject (like questions over moral agency). However, with complaints about the principles being too intangible, viewing AI Ethics as a critical theory can help simplify these aims into more achievable goals. To do so, I’ll showcase the main argument from Waelen before offering her examination of what a critical theory is and then launch into how this relates to AI Ethics.

Key Insights

The main argument

From my point of view, the main argument proposed is how AI Ethics is a critical theory, as it is fundamentally concerned with the emancipation of humanity and empowerment. Consequently, we should analyse AI ethics through the critical theory lens to overcome some of the shortcomings of the principled approach to AI. 

The principled approach has been the main plan of action for AI, with themes such as AI justice and fairness being two staple products. However, Waelen mentions how these principles have often been considered too far-reaching. Hence, viewing these maxims concerning power through the critical theory lens makes their desired goals seem more tangible. It will also help unite all the approaches to AI in one common goal, namely emancipating humanity.

To verify all of this, we should observe what constitutes a critical theory.

What constitutes a critical theory?

A critical theory aims to ‘diagnose and change society’ (pp. 3). Instead of working towards a predefined singular utopian future, critical theorists argue for ‘immanent transcendence’ (pp. 3), where different futures are worked towards based on how the world currently is. In this endeavour, a critical theory is always looking to overcome constraints and restrictions on humanity. One way to do so is to examine the concept of power.

The concept of power

Different views of power are put under the microscope. For example, some believe power is a capacity (the dispositional view), whereas others believe power is exercising a capacity (the episodic view). Furthering this, the systemic view observes how social elements can hold power of people, while constitutive power notes power’s effect over individuals. Despite these final two theories referring more so to structures than agents, Waelen deems all four theories compatible and necessary to examine AI Ethics as a critical theory.

To manifest their thinking, Waelen demonstrates the common thread of emancipation and empowerment in AI Ethics by showing the relation between power and AI principles. The connections are as follows:

  • Transparency and power – the individual is empowered to control their data through data processes being made transparent.
  • Justice, Fairness and Solidarity – these principles ensure that the power relations established between and amongst people are fair and do not divide society further.
  • Non-maleficence and Beneficence – the aim is to ensure AI does not get in the way of emancipating humanity and that non-maleficent power relations do not develop.
  • Responsibility and Accountability – they inspire setting up checks and balances to avoid unjust power relations being established.
  • Privacy – paramount here is the empowerment of individuals to control access to their own information.
  • Freedom and autonomy – the goal is to make sure that the AI technology emancipates and empowers instead of restricting and limiting humanity.
  • Trust – serves to guarantee that humanity doesn’t have to worry about AI enacting unnecessary power over us.

Between the lines

I greatly appreciated how Waeler noted that there are other non-Western ways to view the concept of power. One of them mentioned is my personal favourite Ubuntu, which I believe ties nicely into AI Ethics as a critical theory’s aim of focussing on humanity. The emphasis on emancipation and empowerment can help us see how what gives life to AI is human data and what gives it purpose is human need. Hence, if viewing AI Ethics as a critical helps to emphasise this, I am all for it.

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

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

A rock embedded with intricate circuit board patterns, held delicately by pale hands drawn in a ghostly style. The contrast between the rough, metallic mineral and the sleek, artificial circuit board illustrates the relationship between raw natural resources and modern technological development. The hands evoke human involvement in the extraction and manufacturing processes.

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

related posts

  • Quantifying the Carbon Emissions of Machine Learning

    Quantifying the Carbon Emissions of Machine Learning

  • Scientists' Perspectives on the Potential for Generative AI in their Fields

    Scientists' Perspectives on the Potential for Generative AI in their Fields

  • Anthropomorphic interactions with a robot and robot-like agent

    Anthropomorphic interactions with a robot and robot-like agent

  • Corporate Governance of Artificial Intelligence in the Public Interest

    Corporate Governance of Artificial Intelligence in the Public Interest

  • Bias and Fairness in Large Language Models: A Survey

    Bias and Fairness in Large Language Models: A Survey

  • Research summary: Integrating ethical values and economic value to steer progress in AI

    Research summary: Integrating ethical values and economic value to steer progress in AI

  • Rise of the machines: Prof Stuart Russell on the promises and perils of AI

    Rise of the machines: Prof Stuart Russell on the promises and perils of AI

  • UNESCO’s Recommendation on the Ethics of AI

    UNESCO’s Recommendation on the Ethics of AI

  • Evaluating a Methodology for Increasing AI Transparency: A Case Study

    Evaluating a Methodology for Increasing AI Transparency: A Case Study

  • Fairness Uncertainty Quantification: How certain are you that the model is fair?

    Fairness Uncertainty Quantification: How certain are you that the model is fair?

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.