Ethical pluralism and global information ethics

By Charles Melvin Ess. 2006

Subfields: AI Ethics, Fairness & Society, Philosophy

How researchers see this paper

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

In AI Ethics, Fairness & Society

1. Alexandra Sasha Luccioni
2. William S. Isaac
3. Irene Solaiman
4. Shakir Mohamed
5. Aditya Vashistha
6. Marie-Therese Png
7. Zeerak Talat
8. Yacine Jernite

In Philosophy

1. Irene Solaiman
2. Shakir Mohamed
3. Aditya Vashistha
4. Marie-Therese Png
5. Zeerak Talat
6. Yacine Jernite
7. Farhana Shahid
8. Sara Hooker

Citations in the corpus

• Evaluating the Social Impact of Generative AI Systems in Systems and Society (2023, background): “Mitigation and Interventions Mitigations should be cognizant of preserving irreducible differences among cultures [73] and practicing value sensitive design [84], including by focusing on system components such as data extraction and use [62].”
• Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020, background): “of universal ethics—often the generalisation of dominant rather than inclusive ethical frameworks—and finds an alternative in pluralism, pluriversal ethics and local designs (Escobar, 2011; Ess, 2006).”
• AI Ethics - Too Principled to Fail? (2019, unknown): “39,40 The great diversity of stakeholders and interests involved necessarily pushes the search for common values and norms towards a high level of abstraction.”
• Decolonizing Content Moderation: Does Uniform Global Community Standard Resemble Utopian Equality or Western Power Hegemony? (2023, background): “call for adopting pluriversal, intercultural ethics embedded in local values [46, 47, 94].”