How to Remove Unfair Bias From Your AI

DataRobot How to Remove Unfair Bias From Your AI resource card v.1.0

As human beings we’re prone to bias in our thinking and decision making. AI can also be biased and demonstrate undesirable behavior – if we let it. In this live webinar, Colin Priest, Senior Director of Product Marketing at DataRobot will discuss how to identify and correct bias in AI.

Trusting your AI has never been more critical in a time when companies around the world are increasingly adopting and relying on AI and machine learning to improve decision making and predictions.

DataRobot How to Remove Unfair Bias From Your AI resource card v.1.0

Colin will cover:

  • The key sources of bias in your data
  • Definitions of unfair bias
  • The four steps to avoiding bias
  • How to define ethics for your AI
  • A live demonstration of how to remove bias from a recruitment algorithm

Speakers

colin priest
Colin Priest

Sr. Director of Product Marketing & Data Scientist, DataRobot

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely -- it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant