The Data Diva E146 - Cari Miller and Debbie Reynolds
08/22/23 • 47 min
Debbie Reynolds, “The Data Diva” talks to Cari Miller, Sr. Principal, Practice Lead, Responsible AI Governance & Research at The Center for Inclusive Change. We discuss the lack of employee data rights in the US and Cari Miller's research into the Full Spectrum Employee Data Taxonomy, which includes PII, sensitive voluntary information, credentials, position history, and company/enterprise data. We discuss the implications of AI, such as the over-collection of data, systemic bias, and the need for guardrails. We also discuss New York State's requirement for companies to do audits of AI systems. We conclude that governance does not have to be difficult, but it is important to think through and figure out what makes the most sense. Cari is concerned about the lack of rules and regulations surrounding the use of AI in the employee life cycle, which can lead to discrimination, alienation, and a lack of well-being. She believes that the right guardrails need to be put in place to ensure that AI is used responsibly and that it is tested and built by diverse people. Debbie Reynolds agrees and brings up an example of how AI can be used to target people with disabilities. Cari Miller discussed the need for data minimization, usage assessments, and deletion rules in order to protect data privacy. She also highlighted the need for a US Federal Data Privacy law to avoid companies having to comply with different laws in different states. Finally, she discussed the need to protect children's data, as it is often used to make decisions about them, and her hope for Data Privacy in the future.
Debbie Reynolds, “The Data Diva” talks to Cari Miller, Sr. Principal, Practice Lead, Responsible AI Governance & Research at The Center for Inclusive Change. We discuss the lack of employee data rights in the US and Cari Miller's research into the Full Spectrum Employee Data Taxonomy, which includes PII, sensitive voluntary information, credentials, position history, and company/enterprise data. We discuss the implications of AI, such as the over-collection of data, systemic bias, and the need for guardrails. We also discuss New York State's requirement for companies to do audits of AI systems. We conclude that governance does not have to be difficult, but it is important to think through and figure out what makes the most sense. Cari is concerned about the lack of rules and regulations surrounding the use of AI in the employee life cycle, which can lead to discrimination, alienation, and a lack of well-being. She believes that the right guardrails need to be put in place to ensure that AI is used responsibly and that it is tested and built by diverse people. Debbie Reynolds agrees and brings up an example of how AI can be used to target people with disabilities. Cari Miller discussed the need for data minimization, usage assessments, and deletion rules in order to protect data privacy. She also highlighted the need for a US Federal Data Privacy law to avoid companies having to comply with different laws in different states. Finally, she discussed the need to protect children's data, as it is often used to make decisions about them, and her hope for Data Privacy in the future.
Previous Episode
The Data Diva E145 - Stephen Lawton and Debbie Reynolds
Debbie Reynolds, “The Data Diva” talks to Stephen Lawton, Founder of AFAB Consulting LLC, Cybersecurity Expert and Technology Journalist. We discuss the importance of understanding the history of technology, the potential issues with AI, and the need to be aware of service-level agreements when using cloud services. We also discuss the potential for data to be shifted from one country to another and the need to be aware of cloud services regulations. AI has been around for a while but is now breaking into the consumer market. Cyber insurance companies are using AI to analyze submissions from potential customers, and self-attestation is falling out of favor. Companies need to have good network hygiene, use AI to analyze data and have a human analyst to fine-tune. Cyber insurance policies for small businesses may differ from those for larger companies. Privacy laws are becoming more important this year. We discuss the complexity of privacy laws in the US and the need for a U.S. Federal privacy law. We discuss the importance of cybersecurity becoming a board-level responsibility and the need for more verification and less self-attestation. Lastly, they discussed the difficulty of passing a federal privacy law due to the lack of trust in Washington. and his hope for Data Privacy in the future.
Next Episode
The Data Diva E147 - Igor Barshteyn and Debbie Reynolds
Debbie Reynolds, “The Data Diva” talks to Igor Barshteyn, who is a Senior Manager, Information Security & Compliance Expert. We discuss Igor’s work in information security and data privacy and his passion for the implications of artificial intelligence on data privacy. He is a signatory of the Future of Life Institute's open letter asking for a pause in the deployment of AI systems to the public. He believes regulation with mandatory penalties is needed to protect data privacy and that the EU AI Act will set the standard for AI regulation worldwide. Igor believes that the US should have mandatory penalties for companies that fail to protect user data privacy rather than relying on voluntary frameworks. He also believes that AI models should be decentralized so that users can have more control over their data rather than relying on large companies to store and manage it. Igor believes that this will become more important as the world becomes more geopolitically unstable and there is more competition in terms of hacking and cyber warfare. Igor Barshteyn and Debbie Reynolds discuss the importance of data privacy and security and the need for companies to provide training and education to their staff in order to ensure that they are up to date with the latest technologies and regulations. We also discussed the need for individuals to be aware of the risks associated with using technology and to read privacy policies and end-user license agreements and his hope for Data Privacy in the future.
"The Data Diva" Talks Privacy Podcast - The Data Diva E146 - Cari Miller and Debbie Reynolds
Transcript
47:12
SUMMARY KEYWORDS
people, data, ai, companies, employee, problem, disability, lifecycle, systems, question, employment, governance, audit, law, employer, job, adp, probabilistic, technology, privacy
SPEAKERS
Cari Miller, Debbie Reynolds
Debbie Reynolds 00:00
Personal views and opinions expressed by our podcast guests are their own and are not legal advice or official statements by their organizations. H
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