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You're reading from  AI & Data Literacy

Product typeBook
Published inJul 2023
PublisherPackt
ISBN-139781835083505
Edition1st Edition
Concepts
Artificial Intelligence
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Author (1)
Bill Schmarzo
Bill Schmarzo
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Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo

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Real-world use case: AI in the world of job applicants

In 2018, about 67% of hiring managers and recruiters used AI to pre-screen job applicants. By 2020, that percentage has increased to 88% [2].Poorly constructed and monitored AI models introduce biases in the decision process, lack accountability and transparency, and do not necessarily even guarantee to be effective in hiring the right applicants. These AI hiring models fail by:

  • Accepting (hiring) a candidate whose resumes and job experience closely matches the AI model metrics, behavioral characteristics, and performance assumptions, but for other reasons not captured by the model does not work out and most be fired (False Positive)
  • Rejecting highly-qualified candidates whose resumes and job experience don’t closely match the metrics, behavioral characteristics, and performance assumptions underpinning the AI models (False Negative).
Figure 6.7: AI-based Hiring Model Type I and Type II Errors

The good news is that these...

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AI & Data Literacy
Published in: Jul 2023Publisher: PacktISBN-13: 9781835083505
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo

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