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Utilizing AI Ep. 6: Ethics and Bias in AI

Stephen Foskett is joined by Karen Lopez, an expert and speaker on data management, data quality, and data analysis. Karen focuses on the quality of the data underlying AI systems and the ethics of using this data. She discusses concerns about data reuse, consent for use, and how changes of data cat impact the outcome of models. We also consider the impact of pervasive data collection, and how this flood of data can impact the outcome of AI models. We finish with a discussion of outliers and missing data, and how this can affect the integrity of artificial intelligence applications.

This episode features:

Stephen Foskett, publisher of Gestalt IT and organizer of Tech Field Day. Find Stephen’s writing at and on Twitter at @SFoskett

Karen Lopez, Senior Project Manager and Architect at InfoAdvisors. Find Karen’s writing at and on Twitter at @DataChick

About the author

Gestalt IT Staff

Gestalt IT Staff posts are a collective effort, providing the best analysis and commentary from leaders in the fields of virtualization, networking, storage, and desktop engineering.

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