The State of AI Bias in 2019

The State of AI Bias in 2019 Resource Card

While many people believe  AI can help solve complex problems plaguing modern societies, can we trust that the AI solutions directing our work and livelihood are rooted in reliable, unbiased data? Do organizations have the proper systems in place to prevent, or quickly address, issues resulting from AI bias?

 

DataRobot surveyed more than 350 U.S. and U.K.-based CIOs, CTOs, VPs, and IT managers involved in AI and machine learning purchasing decisions to learn:

– How AI is being used by businesses today
– Current perceptions of AI bias
– What is being done – or should be done – to enhance AI bias prevention efforts in the future

The State of AI Bias in 2019 Resource Card

Download The State of AI Bias in 2019 to learn key findings, such as:

  • 83% of respondents have established AI guidelines and are taking steps to avoid bias.
  • 56% are deploying algorithms that detect and mitigate hidden biases in training data.
  • 85% of respondents also believe AI regulation would be helpful for defining what constitutes AI bias and how it should be prevented.
  • Analytics is far too important to be left to the analyst. With these sorts of tools, we can have the whole business being more data-driven, because the power to build really great models lies in many more hands.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • We want to be truly customer-focused with all our 16 million customers, and to do that we need to be able to predict the potential behavior of each of them to put the right offer in front of them at the right time. There's no way we can be as customer-focused as we would like without the help of machine learning.
    Paul Davies
    Paul Davies

    Head of Data Science, Domestic & General

  • DataRobot's platform allows users to build and deploy highly accurate machine learning models in a fraction of the time it takes using traditional data science methods.
    Loretta Ibanez
    Loretta Ibanez

    Freddie Mac Director, Mortgage Innovation

  • 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

  • We use DataRobot to predict everything from who is likely to pay to who is likely to respond as well as fraud scenarios.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Avant Head of Data Insights