Bias in AI Algorithms and Platforms Can Affect eLearning

| May 31, 2018

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Artificial intelligence, machine learning, and other algorithm-driven technologies have the potential to revolutionize eLearning through their ability to parse data, identify patterns, categorize information, and predict outcomes. Algorithms enhance the efficiency and personalization of many types of online training, performance support, and problem-solving tools. However, any machine learning or data-crunching algorithm is only as reliable as its coding and the data used to “train” it, and built-in bias in algorithms is becoming a significant concern in technologies used for tasks as disparate as making parole decisions, determining the terms of consumer loans, deciding which job applicants to interview, guiding students on college and career paths—or predicting which entry-level employees might succeed as managerial candidates.

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Spotlight

Rehearsal

We are a closely knit team committed to thinking differently about training and creating meaningful change in our industry. We have passion, bold ideas, and a crazy work ethic. We are often the underdog and we like it that way. We answer emails at 3AM and give out our cell phone numbers. We develop lasting, meaningful relationships with each and every customer. We are focused. We are talented. We are unstoppable.

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