Anticipatory Ethics for Emerging Technologies

By Philip Brey. 2012

271 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Safety Research, Sociology and Political Science, AI Ethics, Fairness & Society

How researchers see this paper

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

In Cognitive Neuroscience

1. Jason Wei
2. Yi Tay
3. Adam Roberts
4. Shixiang Shane Gu
5. Quoc V. Le
6. Adams Wei Yu

In Safety Research

1. Denny Zhou
2. Jason Wei
3. Quoc V. Le
4. Yi Tay
5. Andrew Smart
6. Shixiang Shane Gu
7. Ed H. Chi
8. Negar Rostamzadeh

In Sociology and Political Science

1. Xinyun Chen
2. Andrew Smart
3. Ed H. Chi
4. Barret Zoph
5. Negar Rostamzadeh
6. Quoc V. Le

In AI Ethics, Fairness & Society

1. Kathryn Henne
2. Andrew Smart
3. P. Nicholas
4. Gurleen Virk
5. Jess Gallegos
6. Emilio Garcia
7. Negar Rostamzadeh
8. AJung Moon

Citations in the corpus

• Scaling Instruction-Finetuned Language Models (2022, background): “, 2022), and anticipate risks specific to their application context (Hasan et al., 2022; Brey, 2012).”
• Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2022, background): “It can be done in relation to the technology holistically or with a focus on certain features of the technology and its use by different groups [43].”
• Identifying Ethical Considerations for Machine Learning Healthcare Applications (2020, background): “nologies (Brey 2012) or to ascertain the values inher-”
• Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction (2022, background): “It can be done in relation to the technology holistically or with a focus on certain features of the technology and its use by different groups [37].”