This chapter investigates the question: What constitutes a constructive ethics of Artificial Intelligence (AI) in the age of surveillance capitalism? The approach is twofold. First, it explores the rise of surveillance capitalism as a new economic order in the digital age. The discourse on AI ethics often focuses on constraints to mitigate risks, but this overlooks the mediation of our relationship with technology by surveillance capitalism, leading to societal regress. Instead, the chapter advocates for a shift towards a constructive ethics of AI that rethinks our relationship with technology to foster societal progress. Second, it adopts a political concept of responsible innovation, proposing that a constructive ethics of AI must consider the human-technology relationship from a political perspective. This entails that AI systems should promote plurality, empower citizens, and serve the public sphere. The chapter concludes with a critical perspective, questioning whether AI systems can simultaneously serve the public sphere and the public good, or if these objectives might sometimes conflict.

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Towards a Constructive Ethics of Artificial Intelligence in the Age of Surveillance Capitalism

  • Lucien von Schomberg

摘要

This chapter investigates the question: What constitutes a constructive ethics of Artificial Intelligence (AI) in the age of surveillance capitalism? The approach is twofold. First, it explores the rise of surveillance capitalism as a new economic order in the digital age. The discourse on AI ethics often focuses on constraints to mitigate risks, but this overlooks the mediation of our relationship with technology by surveillance capitalism, leading to societal regress. Instead, the chapter advocates for a shift towards a constructive ethics of AI that rethinks our relationship with technology to foster societal progress. Second, it adopts a political concept of responsible innovation, proposing that a constructive ethics of AI must consider the human-technology relationship from a political perspective. This entails that AI systems should promote plurality, empower citizens, and serve the public sphere. The chapter concludes with a critical perspective, questioning whether AI systems can simultaneously serve the public sphere and the public good, or if these objectives might sometimes conflict.