As artificial intelligence takes over more cognitive work, this chapter turns to a deeper cost: what happens to human thought, identity, and responsibility when thinking itself is outsourced. This chapter examines how successive technologies—from the typewriter to AI—have steadily shifted humans from producers of knowledge to managers of machine outputs. Introducing the concept of the outsourced human, the chapter shows how efficiency gains can hollow out professional identity, judgment, and purpose. Attention fragments, memory weakens, and symbolic knowledge labor becomes increasingly fragile, while embodied and relational forms of work regain importance. What looks like progress may conceal a profound cognitive and cultural inversion. At the same time, the chapter clarifies the limits of AI. Machines cannot originate new scientific paradigms or bear ethical responsibility—but they may enable a long-delayed transformation by integrating fragmented knowledge at scale. This chapter argues that this opens a final opportunity: to rebuild the social sciences on an evolutionary foundation, using AI not as a replacement for human judgment, but as scaffolding for a deeper renewal of meaning and responsibility.

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Outsourced Cognition and Identity

  • Klaus Solberg Söilen

摘要

As artificial intelligence takes over more cognitive work, this chapter turns to a deeper cost: what happens to human thought, identity, and responsibility when thinking itself is outsourced. This chapter examines how successive technologies—from the typewriter to AI—have steadily shifted humans from producers of knowledge to managers of machine outputs. Introducing the concept of the outsourced human, the chapter shows how efficiency gains can hollow out professional identity, judgment, and purpose. Attention fragments, memory weakens, and symbolic knowledge labor becomes increasingly fragile, while embodied and relational forms of work regain importance. What looks like progress may conceal a profound cognitive and cultural inversion. At the same time, the chapter clarifies the limits of AI. Machines cannot originate new scientific paradigms or bear ethical responsibility—but they may enable a long-delayed transformation by integrating fragmented knowledge at scale. This chapter argues that this opens a final opportunity: to rebuild the social sciences on an evolutionary foundation, using AI not as a replacement for human judgment, but as scaffolding for a deeper renewal of meaning and responsibility.