Searched for: author:"Robbins, S.A."
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Robbins, S.A. (author)
Machine Learning (ML) is reaching the peak of a hype cycle. If you can think of a personal or grand societal challenge – then ML is being proposed to solve it. For example, ML is purported to be able to assist in the current global pandemic by predicting COVID-19 outbreaks and identifying carriers (see, e.g., Ardabili et al. 2020). ML can make...
doctoral thesis 2021
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Robbins, S.A. (author)
conference paper 2020
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Robbins, S.A. (author)
With Artificial Intelligence (AI) entering our lives in novel ways—both known and unknown to us—there is both the enhancement of existing ethical issues associated with AI as well as the rise of new ethical issues. There is much focus on opening up the ‘black box’ of modern machine-learning algorithms to understand the reasoning behind their...
journal article 2019
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Robbins, S.A. (author)
There is widespread agreement that there should be a principle requiring that artificial intelligence (AI) be ‘explicable’. Microsoft, Google, the World Economic Forum, the draft AI ethics guidelines for the EU commission, etc. all include a principle for AI that falls under the umbrella of ‘explicability’. Roughly, the principle states that ...
journal article 2019
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Robbins-van Wynsberghe, A.L. (author), Robbins, S.A. (author)
journal article 2018
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Robbins, S.A. (author), Henschke, A.H. (author)
Transparency is important for liberal democracies; however, the value of transparency is difficult to articulate. In this article we articulate transparency as an instrumental value for providing what we call ensurance and assurance to liberal democratic citizens. Ensurance refers to the property of liberal democracies which prevents it from...
journal article 2017
Searched for: author:"Robbins, S.A."
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