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The Data Diva E211 - Paul Starrett and Debbie Reynolds
Manage episode 450936532 series 2897113
Debbie Reynolds “The Data Diva” talks to Paul Starrett, Co-Founder, PrivacyLabs, Founder, Starrett Law ( AI-Governance Technology, Law, Cyber Risk). We discuss an overview of his career journey, highlighting his transition from security and technology to law and specialization in AI and data science. Debbie Reynolds discusses the legal industry's approach to technology, prompting Paul to share his perspective on the industry's slow adoption of technology and the need for improved data literacy. We also discuss the historical context of technology and AI adoption, reflecting on the transition from manual to digital processes and the growing reliance on technology in the workplace.
We explore the multifaceted aspects of governance in AI adoption, emphasizing the importance of GRC and the need to understand the underlying reasons for governance practices. We also explore the complexities of addressing bias in AI applications, highlighting the risks associated with biased data and the challenges of ensuring fair and unbiased outcomes. Furthermore, we discuss the surprising challenges companies face with data and AI, particularly in navigating the hype cycle and understanding the proper use of AI as an enabler for specific tasks.
We engage in a conversation about the proper use of technology, highlighting the importance of understanding its functionality to mitigate potential risks and his hope for Data Privacy in the future.
241集单集
Manage episode 450936532 series 2897113
Debbie Reynolds “The Data Diva” talks to Paul Starrett, Co-Founder, PrivacyLabs, Founder, Starrett Law ( AI-Governance Technology, Law, Cyber Risk). We discuss an overview of his career journey, highlighting his transition from security and technology to law and specialization in AI and data science. Debbie Reynolds discusses the legal industry's approach to technology, prompting Paul to share his perspective on the industry's slow adoption of technology and the need for improved data literacy. We also discuss the historical context of technology and AI adoption, reflecting on the transition from manual to digital processes and the growing reliance on technology in the workplace.
We explore the multifaceted aspects of governance in AI adoption, emphasizing the importance of GRC and the need to understand the underlying reasons for governance practices. We also explore the complexities of addressing bias in AI applications, highlighting the risks associated with biased data and the challenges of ensuring fair and unbiased outcomes. Furthermore, we discuss the surprising challenges companies face with data and AI, particularly in navigating the hype cycle and understanding the proper use of AI as an enabler for specific tasks.
We engage in a conversation about the proper use of technology, highlighting the importance of understanding its functionality to mitigate potential risks and his hope for Data Privacy in the future.
241集单集
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