Show Notes

0:45 - Introducing Carina C. Zona
2:10 - Coding consequences
6:00 - Examples of consequences
10:50 - Data quality theories
14:05 - Preventable Mistakes and Algorithmic Transparency
17:30 - Predictive Policing and Biased Data
22:07 - Coder Responsibility
31:35 - Algorithm triggers
37:20 - Fixing a mistake
40:15 - Trusting humans versus trusting machines
44:30 - Considering social consequences
47:30 - Confronting the uncomfortable
50:30 - Fitbit Example
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278 RR Consequences of an Insightful Algorithm with Carina C Zona
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