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You're reading from  AI & Data Literacy

Product typeBook
Published inJul 2023
PublisherPackt
ISBN-139781835083505
Edition1st Edition
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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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What is ethics?

Ethics is a set of moral principles governing a person’s behavior or actions, the principles of right and wrong generally accepted by an individual or a social group. Or as my mom used to say, “Ethics is what you do when no one is watching.”

Ethics refers to principles and values guiding our behavior in different contexts, such as personal relationships, work environments, and society. Ethics encompasses what society considers morally right and wrong and dictates that we act accordingly.

Concerning AI, ethics refers to the principles and values that guide the development, deployment, and management of AI-based products and services. As AI becomes more integrated into our daily lives, AI ethical considerations are becoming increasingly important to ensure that AI technologies are fair, transparent, and responsible.

We will dive deep into the topic of AI ethics in Chapter 8.

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Published in: Jul 2023Publisher: PacktISBN-13: 9781835083505
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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