The Handbook of Information and Computer Ethics

By K. Himma. 2007

350 citations recorded by the source corpus.

Subfields: Computer Science Applications, Safety Research, AI Ethics, Fairness & Society, Philosophy

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In Computer Science Applications

In Safety Research

In AI Ethics, Fairness & Society

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Citations in the corpus

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models (2020, methodology): “…a reexamination of the relationship between NLP systems and their end users, using methods from humancentered design, such as value-sensitive (Friedman et al., 2008) or participatory design (Sanders, 2002; DiSalvo et al., 2012; Denton et al., 2020), and archival data collection (Jo and…”
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021, background): “We start with a working deﬁnition of values as “what a person or group of people consider important in life” (Friedman et al., 2008).”
An Alternative View of Privacy on Facebook (2011, background): “…1999 [13]; Gilliom 2001 [16], pp. 8, 121; Hongladarom 2007 [17], p. 115; Lyon 1994 [18], p. 296; Lyon 2007 [19], pp. 7, 174; Stalder 2002 [20]; Tavani 2008 [3], pp. 157f), that it Information 2011, 2 143 can be used for legitimatizing domestic violence in families (Bennett and Raab 2006 [15],…”
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency (2021, methodology): “These have been long standing topics of research within the HCI community [4, 12, 22, 36, 37, 68].”
UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception (2020, background): “In this respect, the HCI community is working toward a design that is more ethical [42, 47, 79, 84, 85] also for future UIs, such as home robots and proxemic interactions [46, 57].”
Implicit Diversity in Image Summarization (2019, background): “Participatory design encourages the practitioners to engage with the users of the application to obtain valuable feedback on the possible disparate impacts of the application and ensures that there is a balanced power relation between the user and the engineer designing an application [34, 49, 60, 6”
Ethical by Design: Ethics Best Practices for Natural Language Processing (2017, background): “…be independent and should have a well-developed conscience.10 In practice, the ERB involvement incorporates elements from “value sensitive design” (Friedman et al., 2008) (thus generalizing Cavoukian’s “privacy by design” idea) and works as follows: a product manager generates a document…”