The ethics of information transparency
By Matteo Turilli, Luciano Floridi. 2009
394 citations recorded by the source corpus.
Subfields: Safety Research, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety Research
- Jessica Morley
- Luciano Floridi
- Josh Cowls
- Mariarosaria Taddeo
- Effy Vayena
- Marcello Ienca
- Anna Jobin
- Bo Li
In Sociology and Political Science
- Mariarosaria Taddeo
- Josh Cowls
- Jessica Morley
- Bo Li
- Eric D. Ragan
- Luciano Floridi
- Niloofar Zarei
- Sina Mohseni
Citations in the corpus
- The ethics of algorithms: Mapping the debate (2016, neutral): “Besides being accessible, information must be comprehensible to be considered transparent (Turilli and Floridi, 2009).”
- Trustworthy AI: From Principles to Practices (2021, background): “1We follow Reference [333] to exclude transparency as an ethical requirement.”
- A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, background): “wful aspects of algorithmic decision making, researchers are demanding and investigating transparency and accountability of AI under the law to mitigate adverse effects of algorithmic decision making [30,84,123]. Auditing Inexplicable AI Researchers audit algorithms to study bias and discrimination ”
- From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019, neutral): “…& Venkatasubramanian, 2016) (Kleinberg, Mullainathan, & Raghavan, 2016) (Overdorf, Kulynych, Balsa, Troncoso, & Gürses, 2018), ‘accountability’, ‘transparency’ (Ananny & Crawford, 2018) (Turilli & Floridi, 2009), and ‘interpretability’ (Doshi-Velez & Kim, 2017) (Guidotti and colleagues.”
- The global landscape of AI ethics guidelines (2019, background): “The potentially pro-ethical nature of transparency, “enabling or impairing other ethical practices or principles” 123 , might partly explain its prevalence, whereas the frequent occurrence of calls for privacy, non-maleficence, justice and fairness can be seen as cautioning the global community…”
- The ethics of AI in health care: A mapping review. (2020, background): “This transformation process means that healthcare systems now rely on a dynamic, cyclical and intertwined series of interactions between human, artificial and hybrid agents (Vollmer et al., 2018a, 2018b; Turilli and Floridi, 2009).”