The Data Diva E159 - Julie Schroeder and Debbie Reynolds

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Debbie Reynolds, “The Data Diva” talks to Julie Schroeder, General Counsel/Chief Legel Officer, AI/ML Thought Leader. We discuss the misconceptions surrounding AI and the importance of understanding its limitations and risks. We emphasize the need to differentiate between AI and data sets and the importance of understanding the ethics and bias issues related to AI. They also discussed the complexities of data and AI, including the potential for bias and limitations in the data used and the need for a comprehensive and integrated approach to data and AI analysis.

Julie shared her career journey, including becoming a tech founder and General Counsel with expertise in AI and data. She emphasizes the importance of understanding data ownership, Data lineage, and risk management in the healthcare industry and the need to move away from the idea of a company being like Santa's workshop with fragmented roles. It is important to have people like Julie in the future of corporations who can understand and communicate with different groups. 

We discuss Julie’s extensive expertise in artificial intelligence (AI) and machine learning (ML) and engage in a deep exploration of the intricate relationship between law and Data Privacy within the context of AI and ML technologies. Julie begins by dispelling the common misconception that AI is a recent development, tracing its evolution back to the 1950s and 60s. She emphasizes that AI is not a singular technology but rather a category encompassing various subfields, including machine learning and natural language processing. Throughout the episode, the significance of understanding data lineage and ownership is underscored, particularly for companies seeking to leverage AI effectively. Julie also highlights the inherent limitations of AI, emphasizing that it cannot replace human judgment in complex and nuanced tasks. Moreover, she acknowledges the persistent challenge of bias in AI systems, shedding light on the complexities of mitigating bias entirely. The discussion concludes by stressing the importance of comprehensive data collection, as the absence of data can lead to skewed results and erroneous conclusions. This episode offers valuable insights into the legal and ethical dimensions of AI and Data Privacy, encouraging a more nuanced understanding of these technologies in today's evolving landscape and her hopes for Data Privacy in the future.

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