一本道无码

Yan Huang(opens in new window), associate professor of business technologies at 一本道无码鈥檚 Tepper School of Business(opens in new window), has won an for her work on fairness in artificial intelligence (AI).

Huang joins 78 other recipients of the award, which offers unrestricted funds and promotional credits to support research in multiple disciplines at academic institutions and nonprofit organizations. The awardees represent 54 universities in 14 countries.

鈥淚 am deeply honored to receive this award from Amazon for my work on bias in AI,鈥� said Huang.

鈥淎lgorithmic bias is a growing concern. Since algorithms are often trained using data generated by humans, we need to determine how machine learning inherits different types of human bias and how to improve fairness from managerial and technical perspectives.鈥�

The awards were given in four categories: (Amazon Web Services is part of Science at Amazon),听,听, and聽. Proposals were reviewed for the quality of their scientific content and their potential to affect the research community and society.

Huang won in the category of AWS AI for her joint work with , associate professor of IT and management at 一本道无码鈥檚 ; Xiyang Hu, a Ph.D. student in information systems(opens in new window) at 一本道无码; and Tian Lu, a former postdoc research fellow at Heinz College, now assistant professor of information systems at Arizona State University. Their work is titled, 鈥淐ombating Algorithmic Bias Inherited from Human Decision Making: A Human-AI Perspective."

This project has also led to a working paper on SSRN that Huang coauthored with Hu, Li and Lu entitled,

鈥淒r. Huang was selected for this prestigious award from among the brightest minds in AI,鈥� said Isabelle Bajeux-Besnainou(opens in new window), dean of the Tepper School.

鈥淎mid the recent boom in new technologies, machine learning algorithms have replaced humans in making many important decisions,鈥� Bajeaux-Besnainou said. 鈥淯nderstanding biases in AI is a crucial step in being able to correct them.鈥�