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July 26, 2024AI & Society12 citationsOpen Access

Embracing liberatory alienation:AI will end us, but not in the way you may think

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ASAlexander M. SidorkinCalifornia State University, Sacramento

Key Points

  • Liberatory alienation through artificial intelligence allows humans to shed labor-tied constraints, unlocking authentic human agency and creative potential.
  • The theoretical model demonstrates that automating routine cognitive tasks frees individuals to cultivate essential qualities like creativity and joy.
  • Theoretical analysis critiquing Marx's theory of alienation highlights the need for educational reform, while managing AI environmental impacts.

Abstract

Abstract This paper introduces the concept of "liberatory alienation" to explore the complex relationship between technological advancement, particularly artificial intelligence (AI), and human essence. Building upon and critiquing Marx's theory of alienation, we argue that the externalization of human abilities through technology, while potentially disorienting, can ultimately lead to societal liberation and a redefined conception of humanity. The paper examines how AI and automation are reshaping our understanding of labor, skills, and human nature, challenging traditional notions of what it means to be human. We propose that as AI increasingly takes over both manual and routine cognitive tasks, humans are liberated to focus on uniquely human qualities such as creativity, agency, and the capacity for joy. This transformation is likened to an evolutionary process, where humans shed layers of false humanity tied to productive labor, revealing a more authentic core. The implications of this shift for education are discussed, advocating for a fundamental reassessment of educational priorities to cultivate these essential human qualities. The paper also addresses potential challenges, including the environmental impact of AI development and the need for human control over AI systems. By reframing alienation as a potentially liberating force, this work contributes to ongoing debates about the future of work, human identity, and the role of technology in society, offering a nuanced perspective on how we might navigate the profound changes brought about by AI and automation.

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Cite This Study

Alexander M. Sidorkin (2024) studied this question.

synapsesocial.com/papers/68e5ee87b6db643587582e08https://doi.org/10.1007/s00146-024-02019-6
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Human Compatible: Artificial Intelligence and the Problem of Control2019 · 792 citations
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  4. 4Capital: A Critique of Political Economy, Volume I (1867)2018 · 340 citations
  5. 5Three Myths of Computer Science1978 · 154 citations