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
- Mechanical Turk
- Google Crowdsource App
- “Social Network Nextdoor Moves To Block Racial Profiling Online”
- “raceAhead: How Nextdoor Reduced Racist Postings Using Empathy”
31:35 - Algorithm triggers
37:20 - Fixing a mistake
40:15 - Trusting humans versus trusting machines
- Facebook Trending Topics
44:30 - Considering social consequences
47:30 - Confronting the uncomfortable
50:30 - Fitbit Example
- “How Data From Wearable Tech Can Be Used Against You In A Court Of Law”
- “This chicken breast has a surprisingly healthy heart rate, considering it’s dead”
- OSFeels 2016 Talk by Emily Gorcenski with chicken example
Picks:
99 Bottles by Sandi Metz (David)
Vivaldi Browser (Saron)
Magnetic Sticky Notes (Saron)
Ruby Remote Conf Recordings (Charles)
Rails Remote Conf (Charles)
Webinars (Charles)
Books by Howard Zinn (Corina)
Special Guest: Carina C Zona.
278 RR Consequences of an Insightful Algorithm with Carina C Zona
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