Automation as Part of the Solution
By D. Levine. 2019
7 citations recorded by the source corpus.
The articles in this symposium describe how advances in information technology present many challenges. I briefly review the other articles. I then conclude with a complementary approach to addressing the challenges. Specifically, a more just and productive society is more likely if more people work together to use artificial intelligence, Big Data, and other tools to further goals they select themselves.
Subfields: Safety Research, 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 Safety Research
- Irene Solaiman
- S. Carter
- Marie-Therese Png
- Zeerak Talat
- Yacine Jernite
- Alexandra Sasha Luccioni
- Su Lin Blodgett
- Margaret Mitchell
In AI Ethics, Fairness & Society
- Alexandra Sasha Luccioni
- S. Carter
- Irene Solaiman
- Niall G. MacKenzie
- Marie-Therese Png
- Zeerak Talat
- Yacine Jernite
- Su Lin Blodgett
Citations in the corpus
- Evaluating the Social Impact of Generative AI Systems in Systems and Society (2023, background): “[136] offers a complementary perspective when arguing how AI in the workplace can stimulate competition, drive prices down, and have a net-positive effect on employment.”
- Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020, background): “…to offset automation-based job losses would create an immediate social safety net for people without jobs to start new ventures ( D’Mello, 2019 ; Levine, 2019 ) and would therefore reshape antecedents of venture creation relating to risk-taking and creativity ( D’Mello, 2019 ; Eberhart et al.,…”