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