Goto

Collaborating Authors

AI Bias a Real Concern in Business, Survey Says

#artificialintelligence

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by DataRobot. According to DataRobot's "The State of AI Bias in 2019," which was released last week, 42% of organizations surveyed reported being "very to extremely" concerned about AI bias occurring in their organizations. This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use "black box" machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple's senior vice president of machine learning and AI strategy.


Why you need to pay more attention to combatting AI bias

#artificialintelligence

As artificial intelligence (AI) continues its march into enterprises, many IT pros are beginning to express concern about potential AI bias in the systems they use. A new report from DataRobot finds that nearly half (42%) of AI professionals in the US and UK are "very" to "extremely" concerned about AI bias. The report, conducted last June of more than 350 US- and UK-based CIOs, CTOs, VPs, and IT managers involved in AI and machine learning (ML) purchasing decisions, also found that "compromised brand reputation" and "loss of customer trust" are the most concerning repercussions of AI bias. This prompted 93% of respondents to say they plan to invest more in AI bias prevention initiatives in the next 12 months. SEE: The ethical challenges of AI: A leader's guide (free PDF) (TechRepublic) Despite the fact that many organizations see AI as a game changer, many organizations are still using untrustworthy AI systems, said Ted Kwartler, vice president of trusted AI, at DataRobot.


AI bias harms over a third of businesses, 81% want more regulation

#artificialintelligence

AI bias is already harming businesses and there's significant appetite for more regulation to help counter the problem. The findings come from the State of AI Bias report by DataRobot in collaboration with the World Economic Forum and global academic leaders. The report involved responses from over 350 organisations across industries. "DataRobot's research shows what many in the artificial intelligence field have long-known to be true: the line of what is and is not ethical when it comes to AI solutions has been too blurry for too long. The CIOs, IT directors and managers, data scientists, and development leads polled in this research clearly understand and appreciate the gravity and impact at play when it comes to AI and ethics."


AI Bias a Real Concern in Business

#artificialintelligence

This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use "black box" machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple's senior vice president of machine learning and AI strategy. "If someone is trying to sell you a black box system… and you don't know how it works or what data was used to train it, then I wouldn't trust it," DataRobot quotes Giannandrea as saying in its report. The survey indicates that organizations are aware of the potential pitfalls and are actively working to mitigate it. DataRobot found that 64% of survey respondents say they're "very to extremely" confident in their ability to identify AI bias.


Global Big Data Conference

#artificialintelligence

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by DataRobot. According to DataRobot's "The State of AI Bias in 2019," which was released last week, 42% of organizations surveyed reported being "very to extremely" concerned about AI bias occurring in their organizations. This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use "black box" machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple's senior vice president of machine learning and AI strategy.