AHL-1078 Social implications of Bias in Machine Learning | Voxxed Days

Voxxed Days Luxembourg 2019
from Thursday 20 June to Friday 21 June 2019.

   Social implications of Bias in Machine Learning


Big Data & AI
Big Data & AI
Beginner & novice level
BSD Friday from 15:00 til 15:50

The adoption of Machine Learning in decision making has amplified the risk of socially-biased outcomes.Anyone (not just data scientists) working on ML tools holds immense power over shaping the future of our world. However, we can use this power for good and train models that help to drive positive social change sooner. This talk will provide context for this issue, explore real-world examples and discuss ideas for potential solutions.

Together let's discover:

  • How our datasets and algorithms share societies historical social biases.

  • Why this could cause results to be inaccurate and further exaggerate existing discrimination.

  • How we can measure the impact and change this from a risk into a powerful solution.

Machine learning   design choice   Ethics   rights   data world  
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Fiona Coath
Fiona Coath
From ThoughtWorks

Fiona is a software developer and consultant with ThoughtWorks. Her specialty is being a generalist. She is passionate about problem solving, equality and the colour purple.

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