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Although still highly controversial, the idea that we can use technology to radically alter our environment in order to mitigate the climate challenges we now face is becoming an ever more discussed approach. This chapter takes up a specific climate engineering technology, carbon capture, usage, and storage (CCUS), and highlights how this technology works and how its governance still needs further work to ensure that it is aligned to the ideal of sustainable development. Given that climate engineering technologies like CCUS (...) |
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In this article, we use the account of the “inhuman” that is developed in the work of the French philosopher Jean-François Lyotard to develop a critique of human-centred AI. We argue that Lyotard’s philosophy not only provides resources for a negative critique of human-centred AI discourse, but also contains inspiration for a more constructive account of how the discourse around human-centred AI can take a broader view of the human that includes key dimensions of Lyotard’s inhuman, namely performativity, vulnerability, and (...) |
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Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too principles-oriented and entail a theory–practice gap. Several applied ethical approaches try to prevent such a gap by conceptually translating ethical theory into practice. In this article, we explore how the currently most prominent approaches of AI ethics translate ethics into practice. Therefore, we examine three approaches to applied AI ethics: the embedded ethics approach, the ethically aligned approach, and the Value Sensitive Design (VSD) approach. We analyze each (...) |
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The paper presents an ethical analysis and constructive critique of the current practice of AI ethics. It identifies conceptual substantive and procedural challenges and it outlines strategies to address them. The strategies include countering the hype and understanding AI as ubiquitous infrastructure including neglected issues of ethics and justice such as structural background injustices into the scope of AI ethics and making the procedures and fora of AI ethics more inclusive and better informed with regard to philosophical ethics. These measures (...) |
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In the last few years, we have witnessed a surge in scholarly interest and scientific evidence of how algorithms can produce discriminatory outcomes, especially with regard to gender and race. However, the analysis of fairness and bias in AI, important for the debate of AI for social good, has paid insufficient attention to the category of age and older people. Ageing populations have been largely neglected during the turn to digitality and AI. In this article, the concept of AI ageism (...) |
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A promising paradigm in the discourse on Technology Ethics and the Ethics of Artificial Intelligence has manifested in scholarly literature and practical application, entitled “Ethics by Design for A.I.”. The significance of this approach lies in its divergence from conventional assessments focused on the utilization or subsequent societal impact of technological artifacts. Instead, it directs attention to the technological design processes of digital artifacts. While the advocates of this theory acknowledge certain limitations of their theory, the complexity of the framework (...) |
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