9 Steps Toward Ethical AI - InformationWeek

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5/15/2019
08:00 AM
Cynthia Harvey
Cynthia Harvey
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9 Steps Toward Ethical AI

Few current laws address the use of artificial intelligence. That puts companies under greater pressure to reassure the public that their AI applications are ethical and fair.
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Adhere to Data Science Best Practices

Image: Pixabay
Image: Pixabay

Besides complying with government regulations, organizations also should practice good science. In its report "The Ethics of AI: How to Avoid Harmful Bias and Discrimination," Forrester recommends, "To prevent algorithmic bias in models, you need to adhere to fundamental principles of data mining by ensuring that your training data is representative of the population on which you plan to use the model."

Other experts recommend that data scientists repeatedly test and validate their models and that they maintain a way to track data lineage. While few business executives understand the intricacies of machine learning, they have an obligation to make sure that their data scientists are complying with industry best practices.

Cynthia Harvey is a freelance writer and editor based in the Detroit area. She has been covering the technology industry for more than fifteen years. View Full Bio

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