Solving bias in AI

Join us as we examine real solutions to solving bias in AI data and algorithms.

View in your browser March 23–25, 2020 San Francisco, CA Register now Featured segment: Solving Bias Bias is to AI what rust is to steel. It corrupts decisions, leaving us unsure of the integrity of our systems, dooming them to failure.  Join us as we examine real solutions to solving bias in AI algorithms and data. MIT Technology Review returns to San Francisco for EmTech Digital, our annual conference on artificial intelligence.  This year's theme is TRUST. Machines we can trust, data we can trust, results we can trust. The most talked about issues in AI today– deepfakes, bias, explainability, privacy– all have TRUST as a common denominator. Join us as we bring together preeminent leaders in the AI community to address the practical, technical, and strategic AI deployment issues facing organizations over the next 12 months. Purchase your ticket and claim your seat today.  REGISTER NOW Copyright © 2019 MIT Technology Review, All rights reserved. You are receiving this email because you opted in to receive newsletters and/or promotional emails from MIT Technology Review. Our mailing address is: MIT Technology Review 1 Main St Cambridge, MA 02142-1531 Add us to your address book Want to change how you receive these emails? You can update your preferences or unsubscribe from this list.

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