When we think of AI, we often imagine intelligent machines operating independently. Yet, as Kate Crawford’s Atlas of AI reveals, human labor remains central to AI’s functioning, often hidden behind sleek interfaces and automation rhetoric.
In warehouses, robots move shelves and heavy items, but humans perform delicate picking and packing tasks that machines cannot yet handle. These workers face relentless time pressures, constant algorithmic monitoring, and physically demanding conditions that lead to injuries and stress.
Beyond physical labor, the digital realm hosts thousands of crowdworkers who label images, moderate content, and verify AI outputs. Platforms like Amazon Mechanical Turk connect companies to this global workforce, which often earns below minimum wage and lacks labor protections.
This hidden labor challenges the myth of AI as fully autonomous. Crawford terms some AI systems 'Potemkin AI' — facades that rely heavily on human intervention behind the scenes. Recognizing this labor is essential for addressing the ethical and social implications of AI, including fair wages, working conditions, and respect for workers’ rights.
As AI technologies evolve, so too must our understanding of labor and automation. The future of AI depends not only on technological innovation but on justice and equity for the people who make AI possible.
Sources: SCL, Technology Review
Want to explore more insights from this book?
Read the full book summary