Building Fair AI: A Practical Guide
The stories of bias in AI are everywhere: Amazon’s recruiting tool, Apple’s credit card limits, Google’s facial recognition, and dozens more. The quick solution is just to blame the algorithm and its designers. But it’s not a question of whether or not you have bias in your institution, but rather how you plan to handle it.
In part 2 of 2 of this latest Data Science Central podcast, ‘How to Start Tackling AI Bias, Part 2: Building Fair AI’, Jett Oristaglio, Data Science Product Lead of Trusted AI at DataRobot, takes a deeper dive into how to tackle AI bias, including:
- How machine learning can highlight implicit bias in institutions and using AI to measure and change it
- Implementing a practical plan to improve your AI development and increase trust in your AI
Speaker: Jett Oristaglio, Data Science Product Lead of Trusted AI - DataRobot
Hosted by: Sean Welch, Host and Producer - Data Science Central
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