Feminist Technoscience: Co-constructing Technology and Society

Hello! Welcome to your first lesson in our exploration of the theories behind human-AI relationships.

Your goal is to get a primer on the academic research in this area, drawing from diverse fields like psychology, HCI, and feminist theory. This course is designed to build that foundation, and we're starting with a crucial perspective from critical theory.

This lesson addresses the first learning outcome in the "Critical Perspectives" module: "Outline the core tenets of feminist technoscience as a lens for analyzing the co-construction of technology and society."

We'll explore why technology, including the AI you're interested in, is never truly neutral. We will see how it is deeply intertwined with the society that creates it, and how feminist technoscience gives us a powerful set of tools to analyze this relationship.

Let's begin by looking at the real-world impact of this relationship.

1. The Problem in Practice: The Gender Data Gap

Before we dive into theory, it's helpful to see the tangible problems that these theories try to explain. We often assume that technology is objective and that data is neutral, but what happens when the data itself reflects longstanding societal biases?

The following TEDx talk by Karen De Sousa Pesse provides a clear and compelling introduction to this issue, showing how a lack of gender perspective in technology design and data collection has dangerous consequences. It provides a perfect setup for why a field like feminist technoscience is so necessary.

As the video illustrates, technology is not built in a vacuum. The car safety systems, medical procedures, and AI algorithms described were not intentionally designed to be biased. Rather, they were built on data and assumptions that reflected a world where the male experience was treated as the default. The AI, in turn, learns and automates these existing societal biases.

This brings us to the core question that feminist technoscience asks: How are science, technology, and society mutually shaped?

2. A Framework for Analysis: Introducing Feminist Technoscience

Feminist technoscience is an interdisciplinary field that provides a critical lens to examine the relationship between technology, science, society, and power. It moves beyond simply counting the number of women in tech and instead asks fundamental questions about how knowledge is produced and how technology gets built.

The following article provides a concise overview of the field and its core concepts.

To summarize and build on that reading, here are the core tenets of feminist technoscience:

• Co-construction: This is the central idea. It means that technology and society are not separate things where one simply impacts the other. Instead, they actively create and shape one another. Social values (like ideas about gender) are built into technologies, and those technologies, in turn, reinforce or change those social values.
• Science is Not Neutral: The field rejects the idea that scientific knowledge is purely objective or value-free. It argues that knowledge is always created by people who have specific perspectives, assumptions, and positions within society.
• Situated Knowledge: This follows from the previous point. All knowledge is "situated"—it comes from a particular social, historical, and cultural location. Acknowledging this "situatedness" is seen as a path to a more honest and robust form of objectivity, rather than pretending to have a "view from nowhere."
• Intersectionality and Power: Feminist technoscience analyzes how power operates through science and technology. It pays close attention to how factors like gender, race, class, and disability intersect to create different experiences of technology and its effects.

Now, let's explore the concept of "situated knowledge" and the critique of objectivity in more detail through the work of one of the field's most important thinkers.

3. Deconstructing Objectivity: Haraway's "Situated Knowledges"

Donna Haraway, a biologist and philosopher, is a foundational figure in feminist technoscience. Her work provides a deep critique of traditional scientific objectivity. She famously coined the term "the god trick" to describe the impossible and misleading claim of a disembodied, all-seeing, "view from nowhere." For Haraway, this pretense of universal objectivity often masks a very specific, privileged (and historically, white and male) point of view.

The alternative she proposes is not relativism—the idea that all views are equally valid. Instead, she argues for "situated knowledges," which embraces the fact that all knowledge is partial and comes from a specific body and perspective. True objectivity, in this view, comes from acknowledging our perspective and being accountable for it.

The following podcast discussion explores these core Harawayan ideas and, crucially, connects them directly to the world of AI.

The podcast discussion makes a vital connection. The AI recruitment tool that penalizes the word "women" (as mentioned in the TEDx talk) is a perfect example of the "god trick." The algorithm is presented as an objective, data-driven solution. However, a feminist technoscience analysis reveals its "situatedness": it was trained on biased historical data, reflecting a company culture that historically hired more men. The algorithm isn't a "view from nowhere"; it's a view from a specific, biased past, now automated and scaled.

Feminist technoscience gives us the vocabulary and analytical framework to see this, critique it, and demand accountability.

Conclusion

In this lesson, we have outlined the core tenets of feminist technoscience as a critical lens for understanding technology.

Key Takeaways:

• Feminist technoscience analyzes the co-construction of gender, science, and technology, arguing that they mutually shape one another.
• It challenges the idea of scientific neutrality, proposing instead that all knowledge is situated—produced from a specific perspective and context.
• It critiques the pretense of a disembodied, universal viewpoint, which Donna Haraway calls the "god trick."
• This framework is essential for analyzing AI, as it helps us identify how societal biases (related to gender, race, etc.) are embedded in algorithms that are often presented as objective.

By understanding these tenets, you now have a foundational tool for critically examining the claims made about AI and for analyzing the complex social and ethical dimensions of human-AI relationships.

Preview of the Next Lesson:

We will continue with the work of Donna Haraway in the next lesson, focusing on her most famous essay, "A Cyborg Manifesto." We will explore her concept of the "cyborg" as a figure that breaks down the boundaries between human, animal, and machine, and discuss its profound relevance for thinking about our increasingly intimate relationships with AI.