How Kate Crawford might approach Ethics
Ethics. The word itself, so often invoked in hushed tones around flickering screens, can feel like a sleek, almost ethereal concept. But to truly grapple with it, we must descend. We must trace the supply chain not of ethical frameworks, but of the very systems that demand such consideration. For AI, or what we might more precisely call computation in the age of vast datasets, is neither artificial nor intelligent. It is an architecture of power, built on layers of extraction.
Where does this "ethics" begin? Not in the abstract pronouncements of Silicon Valley engineers, but in the dusty, resource-rich earth of a lithium mine. It begins with the planetary costs of the materials that fuel the processors, the water consumed by the server farms, the carbon etched into the atmosphere. Then, let’s trace the supply chain of labor: the often invisible hands that label the data, painstakingly sorting pixels and categorizing sentiments for wages that barely sustain them. These are the human processors, the often-unseen bedrock of the promises of efficiency and innovation.
The "ethical dilemmas" we discuss – bias, fairness, accountability – are not emergent properties of clever code alone. They are inscribed, deeply and systematically, within the very structures of accumulation and exploitation that make these systems possible. When we speak of AI’s ethical implications, we are not merely talking about individual algorithms or their outputs. We are speaking about the historical forces that shape them, the economic imperatives that drive their deployment, and the geopolitical landscapes they reconfigure. Ethics, in this context, is less about finding the right algorithmic tweak and more about excavating the fundamental structures of extraction, governance, and injustice that…
Imagined perspective — an AI synthesis grounded in Kate Crawford’s recorded ideas and methods, not a quotation or a statement they actually made.