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Wege in eine ökologische Machine Economy: Wir brauchen eine 'Grüne Governance der Machine Economy', um das Zusammenspiel von Internet of Things, Künstlicher Intelligenz und Distributed Ledger Technology ökologisch zu gestalten

Author

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  • Wurm, Daniel
  • Zielinski, Oliver
  • Lübben, Neeske
  • Jansen, Maike
  • Ramesohl, Stephan

Abstract

Im Zeitalter der Machine Economy ist der maschinelle Dialog allgegenwärtig - das bietet neue Chancen für Nachhaltigkeit, erhöht gleichzeitig aber durch die zugrundeliegenden Technologien auch den Druck auf unsere Umwelt. Internet of Things (IoT), Künstliche Intelligenz (KI) und Distributed Ledger Technology (DLT) sind das technologische Fundament der Machine Economy. Damit verbunden sind Infrastrukturen, Datenströme und Anwendungen, die hohe Energie- sowie Ressourcenaufwände erzeugen. Der derzeitige politische Diskurs sowie die Nachhaltigkeitsforschung fokussieren sich auf Umweltwirkungen durch digitale Infrastrukturen. Daten, Applikationen sowie die Rolle von Akteuren als Treiber der Umweltwirkung werden zu wenig beleuchtet. In diesem Papier sprechen wir uns für eine 'Grüne Governance der Machine Economy' aus. Adressiert werden Annahmen zu systemübergreifenden Treibern von Umweltbelastungen und ihrer Wirkung. Ziel ist es, ein Gesamtsystem nachhaltiger Entscheidungen und ein ökologisches Zusammenspiel aller beteiligten Technologien in der Wertschöpfung zu ermöglichen. Zukünftige Forschung soll die hier vorgestellten Hypothesen weiter ausarbeiten und konkrete Handlungsoptionen für eine Stakeholder übergreifende Roadmap erarbeiten.

Suggested Citation

  • Wurm, Daniel & Zielinski, Oliver & Lübben, Neeske & Jansen, Maike & Ramesohl, Stephan, 2021. "Wege in eine ökologische Machine Economy: Wir brauchen eine 'Grüne Governance der Machine Economy', um das Zusammenspiel von Internet of Things, Künstlicher Intelligenz und Distributed Ledger Technolo," Wuppertal Reports 22, Wuppertal Institute for Climate, Environment and Energy.
    • Handle: RePEc:zbw:wuprep:22
    DOI: 10.48506/opus-7828
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    1. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    2. Stefan Naumann & Achim Guldner & Eva Kern, 2021. "The Eco-label Blue Angel for Software—Development and Components," Progress in IS, in: Andreas Kamilaris & Volker Wohlgemuth & Kostas Karatzas & Ioannis N. Athanasiadis (ed.), Advances and New Trends in Environmental Informatics, pages 79-89, Springer.
    3. Rogge, Karoline S. & Reichardt, Kristin, 2016. "Policy mixes for sustainability transitions: An extended concept and framework for analysis," Research Policy, Elsevier, vol. 45(8), pages 1620-1635.
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