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26 results

Page 1 of 2

  • 8 - Fostering the Common Good

  • from Part II - Current and Future Approaches to AI Governance
  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp 123-149
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  • Summary

    In this chapter, the ethics and international law scholar Silja Voeneky and the mathematician Thorsten Schmidt propose a new adaptive regulation scheme for AI-driven products and services. To this end, the authors examine different regulatory regimes, including the European Medical Devices Regulation (MDR), and the proposed AI Act by the European Commission and analyse the advantages and drawbacks. They conclude that regulatory approaches in general and with regard to AI driven high risk products and services have structural and specific deficits. Hence, a new regulatory approach is suggested by the authors, which avoids these shortcomings. At its core, the proposed adaptive regulation requires that private actors, as companies developing and selling high risk AI driven products and services, pay a proportionate amount of money as a financial guarantee into a fund before the product or service enters the market. The authors lay down what amount of regulatory capital can be seen as proportionate and the accompanying rules and norms to implement adaptive regulation.

  • Acknowledgements

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp xix-xx
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  • Part III - Responsible AI Liability Schemes

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp 185-226
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  • Copyright page

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp iv-iv
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  • Contributors

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp xi-xviii
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  • Part V - Responsible Data Governance

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp 279-328
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  • Contents

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp v-viii
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  • Part I - Foundations of Responsible AI

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp 9-82
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  • Introduction

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp 1-8
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  • Summary

    In the past decade, Artificial Intelligence (AI) as a general-purpose tool has become a disruptive force globally. By leveraging the power of artificial neural networks, deep learning frameworks can now translate text from hundreds of languages, enable real-time navigation for everyone, recognise pathological medical images, as well as enable many other applications across all sectors in society. However, the enormous potential for innovation and technological advances and the chances that AI systems provide come with hazards and risks that are not yet fully explored, let alone fully understood. One can stress the opportunities of AI systems to improve healthcare, especially in times of a pandemic, provide automated mobility, support the protection of the environment, protect our security, and otherwise support human welfare. Nevertheless, we must not neglect that AI systems can pose risks to individuals and societies; for example by disseminating biases, by undermining political deliberation, or by the development of autonomous weapons. This means that there is an urgent need for responsible governance of AI systems. This Handbook shall be a basis to spell out in more detail what could become relevant features of Responsible AI and how we can achieve and implement them at the regional, national, and international level. Hence, the aim of this Handbook is to address some of the most pressing philosophical, ethical, legal, and societal challenges posed by AI.

  • Figures

  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp ix-x
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The Cambridge Handbook of Responsible Artificial Intelligence
  • Interdisciplinary Perspectives
  • Edited by Silja Voeneky, Philipp Kellmeyer, Oliver Mueller, Wolfram Burgard
  • Published online:
    28 October 2022
    Print publication:
    17 November 2022
  • In the past decade, artificial intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. This book is also available as Open Access on Cambridge Core.

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