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.
Download the report, The State of AI Bias in 2019, to learn key findings, such as:
- Eighty-three percent of respondents have established AI guidelines and are taking steps to avoid bias.
- Fifty-six percent are deploying algorithms that detect and mitigate hidden biases in training data.
- Eighty-five percent of respondents also believe AI regulation would be helpful for defining what constitutes AI bias and how it should be prevented.
The DataRobot Team