Dutch Comfort: The Limits of AI Governance through Municipal Registers.

In this commentary, we respond to the editorial letter by Professor Luciano Floridi entitled "AI as a public service: Learning from Amsterdam and Helsinki." Here, Floridi considers the positive impact of municipal AI registers, which collect a limited number of algorithmic systems used by the city o...

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Publicado en:Techné: Research in Philosophy & Technology Vol. 26; no. 3; pp. 395 - 413
Autores principales: Cath, Corinne, Jansen, Fieke
Formato: Artículo
Publicado: Philosophy Documentation Center 2022
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Acceso en línea:Ver este registro en EBSCOhost
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          Cath, Corinne
          Jansen, Fieke
        affil:
          Minderoo Centre for Technology & Democracy, University of Cambridge, Alison Richard Building, 7 West Road, Cambridge, CB3 9DP, United Kingdom
          Data Justice Lab, School of Journalism, Media and Culture, Cardiff University, Two Central Square, Central Square, Cardiff CF10 1FS, United Kingdom
      su:
        Artificial intelligence
        Digital technology
        Service learning
        Welfare state
        Municipal services
        Network governance
        Amsterdam (Netherlands)
        Helsinki (Finland)
      sug:
        subj:
          Amsterdam (Netherlands)
          Helsinki (Finland)
          Artificial intelligence
          Digital technology
          Service learning
          Welfare state
          Municipal services
          Network governance
      keyword:
        AI registers
        Amsterdam
        artificial intelligence
        science and technology studies
        smart city
      ab: In this commentary, we respond to the editorial letter by Professor Luciano Floridi entitled "AI as a public service: Learning from Amsterdam and Helsinki." Here, Floridi considers the positive impact of municipal AI registers, which collect a limited number of algorithmic systems used by the city of Amsterdam and Helsinki. We question a number of assumptions about AI registers as a governance model for automated systems. We start with recent attempts to normalize AI by decontextualizing and depoliticizing it, which is a fraught political project that encourages what we call 'ethics theater' given the proven dangers of using these systems in the context of the digital welfare state. We agree with Floridi that much can be learned from these registers about the role of AI systems in municipal city management. The lessons we draw, on the basis of our extensive ethnographic engagement with digital wellfare states, are distinctly less optimistic.
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