How to Stop Worrying and Start Tackling AI Bias hero banner
On-Demand Webinar

How to Stop Worrying and Start Tackling AI Bias

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. However, the only way to create fairer AI is to understand the true source of the model’s bias.

AI does not create bias alone; it exposes the latent bias present in the humans who created it. We need to reframe the conversation around bias in AI to instead identify it as the first step in building a more ethical, fairer system.

In this talk, we show how machine learning can highlight the implicit bias of a human institution. Bias becomes diagnosable, correctable, and ultimately preventable in a way that cannot be replicated in human decision-making, which is opaque and difficult to change. Bias is not new, but AI represents a new toolset to measure and change it.

The goal is not only to provide a theoretical understanding of bias, but a practical plan that you can implement right away to improve your AI development and heighten your trust in AI. After all, it’s not a question of whether or not you have bias in your institution, but how you plan to handle it.

Speaker

Jett Oristaglio
Jett Oristaglio

Data Science and Product Lead

DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

Vice President of Data & Analytics, FordDirect

The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI