Regulatory Mechanisms and Algorithms towards Trust in AI / ML

How researchers see this paper

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

Explainable Artificial Intelligence: a Systematic Review (2020, background): “Transparency The capacity of a method to explain how the system works even when it behaves unexpectedly [77, 26, 13, 95, 85, 14, 15, 71, 55, 16, 96, 87] Transferability The capacity of a method for explainability to transfer prior knowledge to unfamiliar situations [56]”
Human-AI Collaboration in Data Science (2019, background): “One major component of trust is transparency [64, 65]: seeing how AutoAI built a model, what features it used, and what values its parameters were set to.”
How to Design AI for Social Good: Seven Essential Factors (2020, background): “And it has gained more attention recently (Thelisson et al. 2017; Wachter et al. 2016) given the increasingly pervasive distribution of AI systems.”