AI/lienated
Humanity After Outsourcing Its Judgment: Artificial Intelligence, Critical Thinking, and the Future of Human Autonomy
What happens when a tool designed to help us begins to think in our place? AI/lienated begins with a simple and unsettling suspicion: artificial intelligence does not need to be conscious to alter our idea of responsibility. Its answers only have to arrive faster than our questions.
The book follows an almost invisible act of delegation: first we outsource a search, then a comparison, and finally a decision. As convenience becomes a habit, work, education, creativity, intimacy, and public life begin to reorganize around systems that classify, predict, and recommend. Efficiency can become a way of avoiding responsibility for what we do.
At the center of the investigation are three researchers. Vera Salvatierra, a philosopher of judgment and epistemic responsibility, asks what it means to know when the answer comes from elsewhere. Samuel Ibarra, a sociologist of institutions and digital labor, traces how algorithms distribute authority and classify human beings. León Vale, a technologist specializing in language models, prompt design, and answer traceability, examines how the system is made to speak - and how its route can be questioned. Together, they construct a recursive protocol: an artificial intelligence instructed to interrogate the decision system that produces it.
AI/lienated is neither an apocalyptic prophecy nor a productivity manual. It is a critical essay for readers who want to understand what they are giving away - and what they can still recover - when they automate their judgment. The final question is not whether the machine thinks. It is whether we will keep thinking before we obey.
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