Debbie Reynolds, “The Data Diva” talks to Walter Robinson, Data Privacy Manager, Janney Montgomery Scott LLC. We discuss Walter's transition from litigation to data privacy, the importance of collaboration and communication inside organizations, and the need for comprehensive federal privacy legislation. They also discussed the implications of using AI and chatbots with corporate data. Walter Robinson and Debbie Reynolds discuss the implications of AI and data privacy, with Walter advocating for transparency from companies and people when it comes to data collection and usage. They also discussed the potential for state laws to have a ripple effect on data privacy regulations. Finally, they discussed the need for education on data privacy and the potential for federal privacy law, and his hopes for Data Privacy in the future.

Debbie Reynolds, "The Data Diva" talks to Colby Scullion, CEO of Avantis Privacy. We discuss the issue of data brokers collecting and selling personal data, including location data, without the knowledge of the people whose data is being collected. We discuss how data brokers may employ deceptive techniques to make it difficult to opt out of their services and how some companies are taking advantage of the lack of laws around Data Privacy. We discuss how data brokers can build large profiles of people with data points that even family members may not know about, the risks of location data for businesses, the potential misuse of data by employers, and the lack of privacy regulation in the US. We discuss how politicians use data brokers to obtain data and services and how this is becoming cheaper and more concerning. We discuss the difficulty of opting out of data sharing and the need for strong national privacy laws to protect individuals' data. We discuss the potential of a trust economy, where people can give their data to companies they trust, the need for companies to communicate with customers in plain language, and his hope for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Victoria Beckman, Associate General Counsel - Security & Privacy, Shopify. We discuss the importance of pursuing one's interests and being open to new opportunities in technology fields. We also explore the complex relationship between cybersecurity and privacy, third-party risk management and compliance challenges, and the increasing importance of supply chain and cybersecurity. Additionally, we stress the importance of diversity in the tech industry and the need for representation and role models to encourage more women and people of color to enter the field. Debbie Reynolds seeks advice from Beckman on collaborating with different groups of people in a corporate environment, and Beckman shares her experience of transitioning from a law firm to a corporation. She emphasizes the importance of being approachable, explaining things in a way the receiver will understand, and putting herself in their shoes to find creative solutions. Reynolds acknowledges that Beckman is bridging the gap between the theory of the law and the mechanics and operational side of what the teams need to do, highlighting the importance of understanding the resources and tools available to achieve the desired outcome and her hope for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Isabella De Michelis, CEO and Founder, ErnieApp, Your Privacy Knowledge Manager. We discuss Data Privacy and the effects of GDPR, and the importance of striking a balance between rights and technology. Isabella's background in working for large corporations. Privacy has a geopolitical dimension, and the Europeans created the GDPR to protect data sovereignty. The US and China have different approaches to privacy regulation, with the US being more business-focused and the Chinese government having more control. The GDPR and other European regulations are designed to protect individuals' rights and allow them to monetize their data. The US is still struggling to create a federal privacy law, and companies are trying to get as much data as possible without a right to be forgotten. There is a connection between Data Privacy and competition, with access to data being the main link. Isabella discusses the implications of AI on the market, noting that it carries enormous costs and creates an unsurmountable barrier to entry for new players. She also discusses the need for governments to have a cut of the profits and for users to have the right to choose how their data is used. Finally, she proposed a two-sided policy of privacy and competition to redistribute the value created by the interaction between humans and machines and shares her hope for Data Privacy in the future.

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.

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 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 regulations when using cloud services. AI has been around for a while, but it 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 and use AI to analyze data but also have a human analyst to do fine-tuning. Cyber insurance policies for small businesses may be different 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.

Debbie Reynolds, “The Data Diva” talks to Andowah Newton, Former Vice President of Legal Affairs for LVMH Moët Hennessy Louis Vuitton. We discuss Newton’s background in math, accounting, and auditing and how she became well-versed in technology through computer classes and gaming. She also talks about her international experience, including her experience of having dual law degrees from Cornell Law Scholl in the US and The Univerity of Paris at the Sorbonne in France, and a time when she was the only American lawyer in the judicial chambers at the Hague, and how it gave her a unique perspective on international data privacy issues. Newton discusses her experience dealing with technology and data privacy issues while working for LVMH Moët Hennessy Louis Vuitton, a European company that encompassed 70 different brands and several different industries. We discuss the use of advanced technology in the beauty and fashion industry, which allows for the personalization of products and the collection of more specific personal data. We also discuss the potential privacy concerns related to data collection in the beauty and fashion industry and highlight the need for companies to reevaluate the data they are collecting and the importance of obtaining informed consent from customers. Newton analyzes the cultural and legal differences between the US and Europe, focusing on privacy, fashion, celebrity culture, and legal systems. She notes that the US has a more flexible approach to laws and values privacy less than European countries, which have a more structured and formal approach. She also highlights the differences between the common law system in the US and the code-based civil law system in Europe, how these differences contribute to the gaps in data privacy laws, and her hope for Data Privacy in the future.

Correction: Ms. Newton would like to correct the statement about her time at the Hague made in the podcast audio. During her time at the Hague, Ms. Newton was the only American lawyer in the judicial chambers at the Hague, not the only American lawyer at the Hague.

Debbie Reynolds, “The Data Diva” talks to Dr. Augustine Fou, FouAnalytics, Independent Ad Fraud Researcher, Marketing Science Consulting Group, Inc. We discuss Augustine's journey in analytics, the importance of marketing on the Internet, and the rise of AdTech targeting and its implications for privacy. We also discuss Augustine's platform, Fou Analytics, which focuses on digital media analytics. Dr. Fou explains that third-party tracking of individuals is a privacy issue and that cookies are just a convenient metaphor for it. He also explains that even if third-party cookies are removed, tracking of individuals without their consent is still an issue. He further explains that fingerprinting is becoming more prevalent as a way to uniquely identify users without using PII. Dr. Fou discussed the dangers of data brokers, biometrics, and bots in relation to privacy and accuracy. He warned people to be more cautious and suspicious of anything they see online and suggested that advertisers use less targeting data as it is not helping their advertising campaigns. He also suggested using a third-party authenticator instead of biometrics for login purposes. Dr. Fou discussed how digital marketing should be done like it was in 1995, with advertisements bought from legitimate publishers, to restore the original contract of the internet between consumers, publishers, and advertisers. He also discussed how bots have been used to create fake content for websites for the last 20 years and how this has caused an increase in fraud in digital advertising. Finally, he suggested that if the original contract of the internet is restored, it will lead to better digital marketing, more revenue for legitimate publishers, and better privacy for consumers, and shares his hope for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Jamal Ahmed, Global Privacy Consultant, Kazient Privacy Experts. We discuss Debbie's admiration for Jamal's ability to create a rich community of people around Data Privacy and Data Protection. They also discuss Jamal's background as a non-lawyer in data protection and how he brings his diverse experiences into privacy. Jamal believes that anyone can have a thriving career in anything and that it is important to recognize the transferable skills and values that one already has. He also believes that it is important to be able to speak to people in a language they understand and to create a strong community of like-minded people who are open to sharing and helping each other. He also believes that there are people in the industry with both a fixed and a growth mindset. Jamal Ahmed believes that AI can be used to enhance businesses, and people should have a growth mindset to use it to their advantage. He is concerned about the UK's direction in terms of privacy and human rights and prefers the UK's principled approach to AI compared to the EU's prescriptive approach. Jamal and Debbie discuss the potential dangers of AI and the importance of understanding the GDPR and the OECD guidelines in order to ensure data is kept secure and private. They also discuss the need for businesses to understand their responsibilities and for privacy professionals to be able to explain the regulations in an easy to understand way. Jamal shares his experience of being a person of color in the Data Privacy industry and emphasized the importance of striving for excellence to overcome any biases. He also expressed his appreciation for Debbie Reynolds' support and influence in inspiring him and others to pursue their goals and hope for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Craig Hamill, Director of Innovation and Technology at UL Research Institutes. We discuss digital safety, which is an extension of social media, and his work in creating standards and guidelines to ensure that technology is used responsibly. He is also working on building the lab of the future and driving innovation to create a better world. We discuss the potential issues of digital safety, privacy, and transparency that come with the development of AI and ML tools, such as Generative AI models, deep fakes, and Quantum Computing. He highlights the need for standards and safety to protect people from exploitation and misinformation. People are increasingly looking to trust companies and brands with their data in exchange for services and products, but transparency is key in order to ensure that the data is not being misused or sold to third parties. Companies should also provide the option for people to delete their data if they are not comfortable with it being used. We discuss the importance of transparency and accountability when it comes to data and technology, as well as the need for fact-checking and proofreading. They also discussed the implications of taking information at face value and the need for digital safety, and his hope for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Dr. Keeper Sharkey, Founder, and CEO, of ODE L3C, Data Scientist and Expert in Quantum Computing. We discuss her expertise in Quantum Computing which offers an exponential increase in computational power, allowing for faster and more efficient problem-solving than classical computing. This increase in power also poses a threat, as it could potentially be used to break encryption keys and passwords, making data more vulnerable to theft and hacking. Quantum Computing can help solve complex problems quickly, but it can also be used by bad actors to create negative impacts. To protect against this, organizations need to collaborate and share information, and the public needs to be educated on how to protect their data. A US public-private partnership called Infragard is working to eliminate digital exhaust and provide resources to help people protect their data. Dr.Sharkey expresses concern about the use of AI and quantum computing, noting that people are not educated enough to protect themselves and that AI can be used as a weapon. She believes that people should be educated about the potential dangers of AI and that it should be used for good. She also believes that people should be able to retain their privacy and that progress should be made without hate which is her hope for the future.

Debbie Reynolds, “The Data Diva” talks to Antonio Rocha, a Data Leader and Data Expert in Europe. We discuss his experience as a data leader and privacy advocate, noting the importance of technical design decisions and the need for deeper implementation of privacy worldwide. He also highlighted the UK's unique position as a global business hub and the need for a balance between the technical and legal aspects of privacy. Antonio suggests that companies must become learning organizations to manage the complexity of AI and data products. He also suggests that both startups and big corporations need to consider the societal impact of their AI products. Antonio suggests that collaboration between legal and technical teams is necessary to ensure that AI products are ethical. Antonio discusses the importance of collaboration between tech, privacy, and legal teams in order to tackle the challenges of data governance, AI, and privacy. He also highlighted the need for transparency and humility in order to understand the implications of data and AI. He suggested that data governance should be used to shine a light on the dark room of non-compliance with the law and his wish for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Sandor Slijderink, an expert CISO who focuses on “All Things Information Systems”. Sandor compares cybersecurity to a vehicle, with different mechanics working on different components. He has been in the field for 30 years and is an expert CISO, educator, and practitioner of all things information security. It is difficult to find someone who is an expert on the entire cybersecurity aspect. Cloud service providers provide a server, hard drive space, and connections for data storage, but they technically own the data. Privacy is like closing the blinds, while security is like putting bars on the windows and having alarm systems. Sandor believes that people should not be afraid of AI and generative AI like ChatGPT but should instead explore and understand it in order to work with it. He also believes that companies should not hoard data but instead tie their data collection and retention to a purpose and delete or anonymize it once that purpose has expired. He also believes that people should be aware of the risks of using AI and generative AI ChatGPT, and should not put confidential information into it. Sandor discusses the importance of teaching information security practices to children from a young age, emphasizing the need for it to be part of a regular curriculum. He also highlighted the need for stronger encryption and the importance of teaching children not to look for loopholes as his hope for the future.

Debbie Reynolds, "The Data Diva" talks to Unanimous AI's CEO, Louis Rosenberg. We discuss his 30-plus-year career in AI, Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR), his work on early spatial systems, his work with the US Air Force, NASA, and our mutual collaboration with XRSI. We also discuss the dangers of AI-generated content and conversational advertising, which can be tailored to individuals and become more persuasive over time. They also discussed the potential for AI to become sentient and have a will of its own, though this is not a current risk. AI agents have the potential to be extremely manipulative when it comes to collecting data and influencing people, especially when used in immersive worlds like XR. They can track and store data about people's behavior and emotions and use AI to create models that predict how people behave and feel in different situations. This could create a persuasive influence that crosses the line from marketing to manipulation. Louis discusses the need for an agency to oversee AI technology, the dangers of AI-driven influence, and the need for transparency and strict rules around storing behavioral and emotional data. He also highlighted the potential for AI to manipulate people, particularly children, and the need for regulation to prevent this and hope for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Elyse Wallnutt, Founder at Agility Lab Consulting, Washington DC. We discuss her start in digital advertising at a boutique agency focused on non-profits, Google Search, SEO, Amnesty International, The Nature Conservancy, The Center for American Progres, the disruption of Adtech and changes imposed on other companies Apple’s App Transparency and it’s widespread effects and changes, Opt-In is foreign to the US, how she helps companies deal with these new realities through her 4 Step Autonomy Framework, First-Party data is desirable and her discussions about Third-Party data, Third-Party plug-in problems, Better Health FTC fine, all Third-Party data should be closely scrutinized Zero-Party data, her thoughts about a Federal privacy law and her hopes for the future of Data Privacy.

Debbie Reynolds, “The Data Diva” talks to Ken Chikwanha, Executive Head: Data Governance, Data Privacy & Data Protection, Standard Bank Group, Johannesburg, South Africa. We discuss his journey into data privacy and data protection, how his skills in information risk management and data governance have helped him in his role, and how understanding the business context is important for successful data privacy practices. We also discuss data mapping, privacy risk management, and the importance of translating legislation into workable business practices. Ken suggests that when trying to make a case for investing in a tool, it is important to assess the real need for the tool and demonstrate some value upfront. He also suggests leveraging existing tools and understanding their limitations in order to make a case for investing in a new tool. Ken Chikwanha wishes for privacy, data protection, and data governance to be regulated, with people being aware of their data and how it is used, and for technology and innovation to be used to protect data and ensure compliance with regulations and his hope for Data Privacy in the future.

Debbie Reynolds “The Data Diva” talks to Pamela Gupta, CEO, Co-President of Trusted AI™ an OutSecure Inc company. We discuss Pamela's career trajectory in cybersecurity and AI, as well as the importance of being one's own cheerleader in a male-dominated industry. We discuss the differences between cybersecurity and privacy and how they can work together. We also discuss the importance of seeking out mentors and promoting others, as well as the need for trustworthy AI systems. Pamela Gupta suggests that developers, data scientists, privacy professionals, security professionals, governance, business, and legal teams should all be involved in the development of AI systems to ensure that the right risk management is in place and that the technology is used responsibly. She also emphasizes the importance of having a holistic examination of risk at the beginning of the process. Pamela Gupta discusses the importance of taking a holistic approach to technology, considering the potential impacts on others, not just the company. She also discusses the importance of data lineage and the risks associated with using data from unreliable sources. Finally, she discusses her AI Tips model, which stands on eight pillars, and how it can help counter any potential landmines and her hope for Data Privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Vadym Honcharenko, Privacy and Data Protection at Grammarly. We discuss the complexities of data privacy regulations around the world, particularly in relation to AI and the GDPR. He is particularly interested in the legal basis for collecting and processing EU user data for development purposes and the balancing of user rights and company interests. We discuss the implications of data scraping and the need for transparency and controls when it comes to AI-based and Generative AI tools. We discuss the recent Italian DPA case and their requirements for Open AI, as well as the case against Clearview AI. We also discuss the concept of incremental consent and the need for data minimization and data security, as the implications of AI on privacy, with Vadym emphasizing the need for companies to use data responsibly and for users to be aware of how their data is being used. We also discuss the importance of trust between companies and users and the need for companies to prioritize user privacy, and his hope for privacy in the future.

Debbie Reynolds, “The Data Diva” talks to Michael Thoreson, Founder of KRATE Distributed Information Systems. We discuss his interest in Data Privacy, deep understanding of security and privacy and the gap between them, personal experience with identity theft, and confusion between cybersecurity and privacy which are, however, related and must be considered that way as each enhances the other, what he tells companies about the negative effects of silos, bad data behavior is now extended to the cloud, the idea you need to give up privacy for security, privacy and security implications of Generative AI, problems of substitution of AI for human judgment, wisdom is limited to humans, his current concerns, compliance by itself is inadequate, privacy is profitable, certifications, tech layoffs and advice to acquire new skills, benefits of personal branding, and his hopes for the future of Data Privacy.