Hack to the Future: Bias and Fairness in AI

Hack to the Future: Bias and Fairness in AI

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Hack to the Future: Bias and Fairness in AI
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Join a session with Dawn Li to learn more about how you can improve fairness and reduce bias in your machine learning model with Fairlearn.

Speaker:
Dawn Li, data scientist, Finastra

Hack to the Future 4: A fintech movement unleashing a world of financial sustainability, inclusion and empowerment!

Building on the success of our previous Hackathons – to redefine finance for good and build an unbiased fintech future, we continue to use our position in the market to inspire the fintech space to be open to all by default, as we strive towards financial sustainability. inclusion and empowerment.

This year, we want to drive engagement beyond our global fintech ecosystem with three key themes that are inclusive and accessible to all: ESG, Embedded Finance and DeFi.

Register here: https://fintech.devpost.com/

Join the conversation on social media by using the following hashtags: #HackToTheFuture and #OPENbyDefault

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