Introduction to Artificial Intelligence
The story of Clever Hans, a horse in the early 1900s that appeared to solve complex math problems, serves as a foundational lesson in how we perceive intelligence. While the public believed Hans possessed human-like reasoning, a psychologist named Oskar Pfungst discovered the horse was actually responding to subtle, unconscious physical cues from his trainer. This phenomenon, known as the Clever Hans Effect, illustrates a central trap in artificial intelligence. Systems that appear to perform spectacularly may simply be reflecting the biases and cues of their creators rather than possessing genuine understanding.
Artificial intelligence is often described through two misleading myths that obscure its true nature. The first myth suggests that non-human systems are direct analogues for the human mind and can be built from scratch without considering how humans are physical, social, and relational beings. The second myth treats intelligence as something natural and independent of social, cultural, and political forces. In reality, the concept of intelligence has historically been used to justify domination and inequality, and modern technology often inherits these historical prejudices.
Author Kate Crawford argues that artificial intelligence is neither truly artificial nor intelligent. Instead, it is a material industry built from natural resources, human labor, and massive infrastructures. To understand this technology, we must look beyond code and algorithms and view it as an extractive industry that takes heavily from the physical world. This perspective requires mapping the shifting landscapes of power to see who benefits from these systems and who bears the costs.
Ultimately, artificial intelligence functions as a registry of power that reinforces existing social hierarchies. It is a manifestation of highly organized capital backed by a small number of dominant corporations. By abstracting away the material conditions of its creation and extracting resources from those with the least power, the industry avoids accountability. Understanding artificial intelligence as a political and economic force allows us to make collective decisions about the role technology should play in our future.
Full summary available in the Readsome app
