Loading…
deliver:Agile 2019 has ended
Monday, April 29 • 4:15pm - 5:00pm
Ghost in the Machine: The Real Consequences of Bias in AI (Nivia Henry, André Henry)

Sign up or log in to save this to your schedule and see who's attending!

Feedback form is now closed.

Abstract:
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

Attachments:

Speakers
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
Hermitage Ballroom D

Attendees (30)