Transparency: Motivations and Challenges

By Adrian Weller. 2017

5 citations recorded by the source corpus.

How researchers see this paper

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

1. Been Kim
2. Chris Russell
3. Justin Gilmer
4. Julius Adebayo
5. Giulia Vilone
6. Yoshua Bengio
7. Sara Hooker
8. Cynthia Rudin

Citations in the corpus

• Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values (2018, background): “Given increasing reliance on local model explanations for decision making, it is important to assess explanation quality, and characterize their fidelity to the model being explained (Doshi-Velez & Kim, 2017; Weller, 2017).”
• Explaining Explanations in AI (2018, background): “Justification has recently received increasing attention by scholars discussing algorithmic accountability (e.g. Binns (2017); Biran and McKeown (2014); Hildebrandt and Koops (2010); Selbst and Barocas (2018); Weller (2017)).”