Not my exact field, but I keep track of the research for potential applications. The general vibe is that there are potentially large welfare gains to be achi

Not my exact field, but I keep track of the research for potential applications. The general vibe is that there are potentially large welfare gains to be achieved if algorithms, ML or statistical methods are integrated into human decision making in principled way. People have innate tendency treat noise as a signal. That does not mean that the dangers mentioned in the article are not real [2]. We should be very aware of them in their current forms and prevent repeating them. Few of my favorite papers: 1. Human Decisions and Machine Predictions The Quarterly Journal of Economics, Volume 133, Issue 1, 1 February 2018, Pages 237–293, https://doi.org/10.1093/qje/qjx032 https://doi.org/10.1093/qje/qjx032 https://www.nber.org/papers/w23180 https://www.nber.org/papers/w23180 2. Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People (2019) https://dl.acm.org/citation.cfm?doid=3287560.3287593 https://dl.acm.org/citation.cfm?doid=3287560.3287593 3. Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability https://arxiv.org/abs/1809.04578 https://arxiv.org/abs/1809.04578 4. Direct Uncertainty Prediction for Medical Second Opinions https://arxiv.org/abs/1807.01771 https://arxiv.org/abs/1807.01771