Lessons for artificial intelligence from the study of natural stupidity
By Alexander S. Rich, Todd M. Gureckis. 2019
82 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Decision Sciences, Safety Research, Cognitive Science & Psychology, Philosophy
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
- Jörn-Henrik Jacobsen
- Richard S. Zemel
- Matthias Bethge
- Wieland Brendel
- Yoshua Bengio
- Robert Geirhos
- Claudio Michaelis
- Felix Wichmann
In Safety Research
In Cognitive Science & Psychology
In Philosophy
Citations in the corpus
- Shortcut learning in deep neural networks (2020, background): “Other shortcut strategies include focusing on the majority group in a dataset while accepting high error rates for underrepresented groups [12, 73], which can amplify existing societal disparities and even create new ones over time [74].”
- If deep learning is the answer, what is the question? (2020, background): “For example, animal decisions are subject to stereotyped biases, but also irreducibly noisy 61 ; animals are flexible but forgetful, behaving as if memory and control systems were capacity limited 62 ; and the rate and effectiveness of information acquisition depend strongly on the structure and…”
- Fairness in Machine Learning: A Survey (2020, unknown): “Other suggestions have been for ML researchers and practitioners to better understand the limitations of human decision making [245].”