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DataRobot Names New Global AI Ethicist

  • Expert Data Scientist Haniyeh Mahmoudian, Ph.D., Appointed to Lead Company’s Development of Ethical AI Systems

DataRobot, the leader in enterprise AI, announced it has named Haniyeh Mahmoudian, Ph.D., as its new Global AI Ethicist, a role created to further the company’s mission to build and deliver trustworthy and ethical AI systems. Mahmoudian, an astrophysicist by training, previously served as a data science researcher for DataRobot, focusing on privacy, bias, trust, and ethics in AI. In her new role, she will lead the new DataRobot Applied AI Ethics Team, which will support thought leadership in AI ethics and create trusted technical resources and governance frameworks for DataRobot’s stakeholders.

“There remains some skepticism around the use of artificial intelligence, mostly due to concerns of bias and lack of transparency and explainability”

“There remains some skepticism around the use of artificial intelligence, mostly due to concerns of bias and lack of transparency and explainability,” said Ted Kwartler, VP of Trusted AI at DataRobot. “DataRobot has built its reputation around the use of trustworthy AI systems and educating our customers about the responsible use of technology. Haniyeh has been central to those efforts, and we are excited to elevate her role within the company.”

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The DataRobot Applied AI Ethics Team that Mahmoudian will lead was created to support not only thought leadership around ethical AI, but to also provide actionable guidance for the company’s customers, which cover one third of the Fortune 50, including some of the largest banks in the world, top U.S. health insurers, and defense, intelligence, and civilian agencies within the federal government.

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“When used properly, AI can be a force for good and help contribute solutions to some of society’s most pressing issues, such as access to equitable healthcare,” said Mahmoudian. “The COVID-19 pandemic has inspired unprecedented interest in AI. However, to accomplish those goals we must ensure machine learning systems have trustworthy and ethical parameters built in from the start. I’m proud to lead DataRobot’s efforts to make AI tools accessible, trusted, and equitable for all stakeholders, including the medical community.”

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