The Cogito in the Machine: On Being Human in the Age of the Algorithm - Softcover

Inhaltsangabe

The danger is not that machines conquer us. It is that we become like them, one default at a time.

The Cogito in the Machine: On Being Human in the Age of the Algorithm starts from Descartes and asks what remains of a thinking self when the thinking is handed off. Its claim is that the difficult parts of life, learning, craft, relationships, judgement and accountability, are where a self gets formed, and that we are removing them because each removal is convenient. Useful and good are not the same word.

What the book walks through:

• A short history from Dartmouth 1956 and Turing's imitation game to ELIZA, and why the machine did not become intelligent, it became large
• The interface: the command line and its priesthood, the graphical desktop, the touchscreen and the tethered self, and the blank box that asks what you want
• Work: the de-skilled hand, the invisible foreman when the manager is an algorithm, and AI in medicine, the classroom, transport and media
• The algorithmic conscience: privacy as a reader with infinite patience, the biased machine, the price that knows who you are, and the black box
• The algorithmic oracle and why a human in the loop can be a rubber stamp with a pulse, with four conditions for oversight that is real
• The empathetic machine: creativity, the digital doppelganger and the voice that sounds like you
• The Cartesian ghost, the augmented self, and a chapter titled The Best Argument Against This Book
• Education, policy and organisations that change the tool and not the work, and a closing section on a more humane future

The book argues with itself. It takes on the extended mind thesis and Socrates's worry about writing, then says where it still disagrees. Its closing point is that what separates us from the machines is not intelligence, creativity or empathy but that things matter to us.

The book is concrete. It cites data centres drawing roughly 1.5 percent of global electricity in 2024, the FDA's list of AI-enabled devices passing a thousand by late 2025, and about seventy percent of US teens having used an AI companion. It tells how ELIZA's creator watched his own secretary ask him to leave the room, and borrows Taylor's stopwatch to explain algorithmic management: the stopwatch is the work. Where it recommends something it is plain: preserve difficulty in education, require real oversight or drop the claim, and regulate by consequence, not by technique.

Why now: AI companions, voice cloning, entry-level jobs that disappear, personalised pricing and agents acting on our behalf are already here. The slow, uneven future is the likelier one, and the choices that shape it are being made as defaults today.

For professionals, managers, educators and students who use AI every day and want to keep their own mind in the loop.

Buy now and read the whole book and decide which choices you will make on purpose.

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