Abstract
Digital technologies, like artificial intelligence (AI), continue to reshape our lives in profound ways. If we are to maximise the associated opportunities while minimising the potential risks, it is vital that we first have a clear understanding of the myriad ways that technologies can alter patterns of human activity. The chapters of the 2019 Yearbook of the Digital Ethics Lab aim at advancing such an understanding by contributing to ongoing discussions and research. This chapter provides a contextual introduction for the Yearbook and a brief summary of each of the subsequent chapters.
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Notes
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We adopt the common practice found in the literature on concepts of using small caps to differentiate the concept (e.g. cat) from the object it signifies (e.g. cat).
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This is a very brief overview of an interesting but complex account. For an accessible overview, see Clark (2016).
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The famed Netflix Prize, a $1 million award that was announced in 2006 for the algorithm that could improve the accuracy of Netflix’s own system for predicting user ratings of films by at least 10%, was probably instrumental in fixing the standard problem for recommender systems research as that of predicting user ratings. Interestingly, Netflix did not implement the winning algorithm into its recommender system, due to efficiency issues, as the increase in accuracy was offset by increased computational complexity, but the teams who worked on the Netflix dataset produced technical breakthroughs that had wide influence in the field.
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Burr, C., Milano, S. (2020). Introduction to the 2019 Yearbook of the Digital Ethics Lab. In: Burr, C., Milano, S. (eds) The 2019 Yearbook of the Digital Ethics Lab. Digital Ethics Lab Yearbook. Springer, Cham. https://doi.org/10.1007/978-3-030-29145-7_1
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