35. Question Everything episode artwork

EPISODE · Jul 16, 2021 · 13 MIN

35. Question Everything

from The STEM Space · host Vivify STEM

Show Summary:In this episode of The STEM Space Podcast, Natasha and Claire discuss biases in the technology we use every day. We tend to trust computers and technology, but they are actually just as flawed as the humans who created them. These flaws can include biases in the algorithms that make decisions. How can you talk to your students about how to be cautious when using technology and interpreting the results? Tune in to find out!Links from the Show:Netflix: Coded BiasRacial Bias in Facial Recognition TechnologyGender Bias in STEM: Top 10 Ways to Encourage Girls in STEM <from the Vivify blog>Facial Recognition And Beyond: Journalist Ventures Inside China's 'Surveillance State' Women are overmedicated because drug dosage trials are done on men, study finds Amazon scraps secret AI recruiting tool that showed bias against women Seven Houston Teachers, Houston Federation of Teachers File Lawsuit Challenging Constitutionality of Value-Added Measure for EvaluationsMars Probe Lost Due to Simple Math Error Critical thinking is a 21st-century essential — here’s how to help kids learn it From Learning to Relearning: A Framework for Diminishing Bias in Social Robot NavigationTHE STEM SPACE SHOWNOTES: https://www.vivifystem.com/thestemspace/2021/35-question-everythingTHE STEM SPACE FACEBOOK GROUP: https://www.facebook.com/groups/thestemspace/VIVIFY INSTAGRAM: https://www.instagram.com/vivifystemVIVIFY FACEBOOK: https://www.facebook.com/vivifystemVIVIFY TWITTER: https://twitter.com/vivifystem

Episode metadata supplied by the publisher feed · Published Jul 16, 2021

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In this episode of The STEM Space Podcast, Natasha and Claire discuss biases in the technology we use every day. We tend to trust computers and technology, but they are actually just as flawed as the humans who created them. These flaws can include biases in the algorithms that make decisions. How can you talk to your students about how to be cautious when using technology and interpreting the results? Tune in to find out!

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35. Question Everything

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