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Bias in the Algorithm
Algorithms are more than equations. They redefine us. A few years back, rumor had it that a multinational technology company was making great strides to finalize and implement a computerized hiring tool. Using artificial intelligence (AI), the program scored job applicants on a scale of 1 to 5 and predicted which of the top candidates would be best for the job.
On the cover: Artificial intelligence and machine learning are here to stay. Beyond your Netflix
queue, they affect who hires you, whether you get a loan, where you shop (if you get
that loan). What do these human-made equations reflect back to us? And how do humans
remain in the driver's seat?
Published by University Marketing and Communications
- Ian Repp—Assistant Vice President of University Marketing and Communications
- Stefanie Sidortsova—Executive Director of Communications
- Nicole Kelly—Creative Director
- Vassilissa Semouchkina, Jon Halquist—Designers
- Sarah Bird—University University Marketing and Communications Photographer
- Crystal Verran—Director of Operations
- Wes Frahm—Advancement and Alumni Engagement Editor
- Mare Grohowski—Articles Editor
- Aaron Scamihorn—Freelance Artist
- Ben Jaszczak—Multimedia Specialist
- Megan Ross—Digital Services Coordinator
- Comments to the editor
magazine@mtu.edu - Dream Jobs submissions and mailing address changes
alumni@mtu.edu
