Why open-source generative AI models are an ethical way forward for science

By Arthur Spirling. 2023

113 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Generative Models

How researchers see this paper

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

In Artificial Intelligence

1. Su Lin Blodgett
2. Alexandra Sasha Luccioni
3. Irene Solaiman
4. Zeerak Talat
5. Dylan Baker
6. Margaret Mitchell
7. Yacine Jernite
8. Noah A. Smith

In Information Systems and Management

1. Irene Solaiman
2. Margaret Mitchell
3. Sara Hooker
4. Muntasir Wahed
5. N. Ahmed

In Generative Models

1. Irene Solaiman
2. Yacine Jernite
3. Su Lin Blodgett
4. Margaret Mitchell
5. Sara Hooker

Citations in the corpus

• Evaluating the Social Impact of Generative AI Systems in Systems and Society (2023, background): “Therefore, given the overlaps in the public sphere, advocacy of open-sourced / licensed access are increasingly popular and compelling [231].”