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RubyConf 2015 Keynote: “Consequences of an Insightful Algorithm”
Slides
Code Newbies discussion
6:00 - Examples of consequences
Flickr Deep Learning
Google Photo
10:50 - Data quality theories14:05 - Preventable Mistakes and Algorithmic Transparency17:30 - Predictive Policing and Biased Data
“The Reality of Crime-Fighting Algorithms”
“Machine Bias”
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
Eric Meyer: “Inadvertent Algorithmic Cruelty”
37:20 - Fixing a mistake40:15 - Trusting humans versus trusting machines
Facebook Trending Topics
Article on leaked documents
Former contractor’s experience
Trending topic mistakes
44:30 - Considering social consequences47:30 - Confronting the uncomfortable50:30 - 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)
Oregon Shakespeare Festival (Sam)
Ruby Remote Conf Recordings (Charles)
Rails Remote Conf (Charles)
Webinars (Charles)
Books by Howard Zinn (Corina)On Food and Cooking by Harold McGeeSpecial Guest: Carina C Zona.