Social implications of Bias in Machine Learning
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:
|Main language||English Proposal|
|Audience level||Beginner & novice|
|Type of presentation||Slides only|