DataRobot Report State of AI Bias BKG 1
White Paper

State of AI Bias

While many people believe AI can help solve complex problems, 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? We set out to answer these, as well as other questions focused on the current perception and mitigation of AI bias.

DataRobot surveyed more than 350 U.S. and U.K.-based CIOs, IT directors, IT managers, and development leads who use or plan to use AI to learn how organizations perceive the issue of AI bias and its importance, which issues are thought to be the biggest risks if AI bias is left unchecked, what kind of tools and capabilities are organizations looking for to help them mitigate bias in AI.

Download the State of AI Bias report to learn key findings, such as:

  • Fifty-four percent of respondents say they are very or extremely concerned about AI bias
  • Sixty-nine percent of respondents indicate that their organizations do data quality checks to avoid AI bias
  • Eighty-one percent of respondents want government regulation for defining and preventing AI bias
  • The core challenge to eliminate bias is understanding why algorithms arrived at certain decisions in the first place. Organizations need guidance when it comes to navigating AI bias and the complex issues attached. There has been progress, including the EU proposed AI principles and regulations, but there’s still more to be done to ensure models are fair, trusted and explainable.
    Ted Kwartler
    Ted Kwartler

    Field, CTO, DataRobot

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