Saturday 26th November, 2016
12:00pm to 12:55pm
How to think practically about ethics when applying Machine Learning techniques.
Machine Learning is becoming prevalent in every aspect of our lives from online dating & personal finance to medical devices & self-driving cars. As time goes on we're ceding ever more of our decision making to black-box algorithms. But without careful consideration we can end up letting these algorithms make decisions that humans would never consider acceptable.
It's falls to us as developers, data scientists and product managers to make sure we consider the ethical implications when we adopt machine learning techniques; as failing to do so could have meaningful negative real world consequences for our users.
This talk will cover a number of practical examples as well as techniques for spotting where these challenges might occur in your own work.
New thing. Previously at @marketinvoice @indexventures. Occasional VC & Seed Accelerator performance researcher. bio from Twitter
Sign in to add slides, notes or videos to this session