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  1.  97
    AI ethics should not remain toothless! A call to bring back the teeth of ethics.Rowena Rodrigues & Anaïs Rességuier - 2020 - Big Data and Society 7 (2).
    Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. This significantly limits what ethics can (...)
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  2.  63
    Methods for Practising Ethics in Research and Innovation: A Literature Review, Critical Analysis and Recommendations.Wessel Reijers, David Wright, Philip Brey, Karsten Weber, Rowena Rodrigues, Declan O’Sullivan & Bert Gordijn - 2018 - Science and Engineering Ethics 24 (5):1437-1481.
    This paper provides a systematic literature review, analysis and discussion of methods that are proposed to practise ethics in research and innovation. Ethical considerations concerning the impacts of R&I are increasingly important, due to the quickening pace of technological innovation and the ubiquitous use of the outcomes of R&I processes in society. For this reason, several methods for practising ethics have been developed in different fields of R&I. The paper first of all presents a systematic search of academic sources that (...)
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  3.  42
    Socio-economic impact assessments for new and emerging technologies.Rowena Rodrigues & Marina Diez Rituerto - 2022 - Journal of Responsible Technology 9 (C):100019.
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  4.  70
    Legal and human rights issues of AI: Gaps, challenges and vulnerabilities.Rowena Rodrigues - 2020 - Journal of Responsible Technology 4 (C):100005.
  5.  33
    Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges.Bernd Carsten Stahl, Doris Schroeder & Rowena Rodrigues - 2022 - Springer Verlag.
    This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, (...)
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