Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical

By Luciano Floridi. Philosophy & Technology, 2019

389 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Safety Research

View Paper: https://www.semanticscholar.org/paper/a26eeb8d4ae650dcbce4eb89c5d4d5f50ac495dc

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Citations in the corpus

The ethics of algorithms: key problems and solutions (2020, neutral): “(Floridi 2019b, 187).”
Large image datasets: A pyrrhic win for computer vision? (2020, background): “We are up against a system that has veritably mastered ethics shopping , ethics bluewashing , ethics lobbying , ethics dumping , and ethics shirking [33].”
The uselessness of AI ethics (2022, background): “Floridi [20] has suggested that developers of AI may conduct ethics shopping, borrowing liberally from different frameworks to arrive at a set of easy-to-implement norms.”
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020, background): “The counterpoint to ethics dumping is ethics shirking : what is not done to protect people when harms emerge beyond what is demanded from legal or regulatory frameworks (Floridi, 2019).”
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019, methodology): “It is, therefore, a necessary building block in the creation of an environment that fosters ethical, responsible, and beneficial ML, especially as it also indicates the possibility of a time when the distractive risk of ethics shopping 13 (Floridi 2019c) will be lessened.”
Ethics and governance of trustworthy medical artificial intelligence (2023, background): “AI companies try to convince people that their behaviors, products, and services are ethical by “Ethics Bluewashing”, but it is not the case [15].”
From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019, background): “How to apply ethics to the development of ML is an open question that can be solved in a multitude of different ways at different scales and in different contexts (Floridi, 2019a).”
Ethics of AI in Education: Towards a Community-Wide Framework (2021, background): “The ethics of artificial intelligence in general has received a great deal of attention, by researchers (e.g., Boddington 2017; Floridi 2019; Jobin et al. 2019; Whittaker et al. 2018; Winfield and Jirotka 2018) All of these efforts principally focus on data (involving issues such as informed…”