You cannot have AI ethics without ethics

By Dave Lauer. 2020

70 citations recorded by the source corpus.

Subfields: General Health Professions, Public Health, Environmental and Occupational Health, Safety Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Jonas Schuett
2. Luciano Floridi
3. Jakob Mokander
4. Paul Rodway
5. Astrid Schepman
6. Luke Munn
7. Hannah Rose Kirk

In Public Health, Environmental and Occupational Health

1. Luciano Floridi
2. Paul Rodway
3. Astrid Schepman
4. Luke Munn

In Safety Research

1. Luke Munn
2. Paul Rodway
3. Astrid Schepman
4. Jonas Schuett
5. Luciano Floridi
6. Jakob Mokander
7. Hannah Rose Kirk
8. Jessica Morley

Citations in the corpus

• Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies (2021, neutral): “binary people by reductively distributing individuals into binary "gender bins" by their name, based on the assumption that they were cisgender (Lauer, 2020; Spiel et al., 2019; Serano, 2007).”
• The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022, background): “However, in recent work Lauer (2021) suggested that AI ethics should emerge from more global organizational ethics in each company that uses AI, rather than from ethical frameworks.”
• Auditing large language models: a three-layered approach (2023, background): “To begin with, AI systems and their environments co-evolve in non-linear ways [147].”
• The uselessness of AI ethics (2022, background): “While this view is provocative, it is hardly alone: a growing sea of voices have begun critiquing the de-facto turn to AI ethical principles as ineffective [39, 48, 69, 78].”