Don’t let industry write the rules for AI

By Yochai Benkler. 2019

87 citations recorded by the source corpus.

Subfields: Safety Research, AI Ethics, Fairness & Society, Social Sciences & Humanities

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

1. Irene Solaiman
2. Effy Vayena
3. Ece Kamar
4. Marcello Ienca
5. Anna Jobin
6. Daniel S. Schiff
7. S. Lo Piano
8. Brent Daniel Mittelstadt

In AI Ethics, Fairness & Society

1. Irene Solaiman
2. Effy Vayena
3. Marcello Ienca
4. Anna Jobin

In Social Sciences & Humanities

1. Irene Solaiman
2. Meredith Ringel Morris
3. Joon Sung Park

Citations in the corpus

• The Gradient of Generative AI Release: Methods and Considerations (2023, background): “This monopolization also gives these high-resource institutions more influence in AI development, the behavior of these systems, and the narrative and direction of the field [8].”
• The global landscape of AI ethics guidelines (2019, background): “It could be due to the so-called negativity bias—that is, a general cognitive bias to give greater weight to negative entities 125,126 —or as a precautionary measure to ensure that AI developers and deployers are held in check 25 .”
• Designing an Online Infrastructure for Collecting AI Data From People With Disabilities (2021, background): “…disability communities, but some also pointed out that they did not want their data to be used in certain ways (n=3), including for law enforcement and improving public relations to make a for-proft company appear inclusive only on the surface (i.e., "ethics washing" or "diversity theater" [4]).”