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Monday, April 29 • 4:15pm - 5:00pm
Ghost in the Machine: The Real Consequences of Bias in AI (Nivia Henry, André Henry)

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What if the code you’ve written excluded 25% of your customers? Or what if it caused a group of people real-life harm? If you're a responsible engineer, these should be amongst of your biggest fears.
Artificial Intelligence and Machine Learning have introduced a new paradigm whereby code can do actual harm. While some of effects may be comically embarrassing - like a smart speaker not accounting for a regional accent; others can be deeply unfair to large groups of people.
Join Nivia (a life-long learner and Sr Engineering Manager at Spotify) and Andre (a polymath and Sr engineer at Venmo), on a journey to explore the world of machine learning and algorithmic bias. We'll explore how algorithms are created, trained and implemented; and more importantly, discuss practical steps to detect, mitigate and eliminate potential biases.

Learning Outcomes:
  • At the end of this session, the participant will be able to:
  • 1. Understand the difference between Artificial Intelligence and Machine Learning (ML)
  • 2. Understand the types of ML algorithms and their values
  • 3. Understand the ways in which bias is introduced in the creation process
  • 4. Have a sense of the consequences of these biases
  • 5. Have practical means of preventing, mitigating and eliminating such biases


avatar for Nivia Henry

Nivia Henry

Agile Coach Chapter Lead, Spotify
I believe that great people make great things. This philosophy has translated to a 15-year career building and supporting high performing teams, who continuously deliver great software and experiences. My career path has included agile coaching, enterprise agile transformations... Read More →

Monday April 29, 2019 4:15pm - 5:00pm CDT
Hermitage Ballroom D