"The Data Diva" Talks Privacy Podcast

Send us a textDebbie 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.  Support the show

Send us a text 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. Support the show

Send us a textDebbie 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.Support the show

Send us a text 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. Support the show

Send us a textDebbie 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.Support the show

Send us a text 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. Support the show

Send us a textDebbie 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.Support the show

Send us a textDebbie 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.Support the show

Send us a text Debbie Reynolds, “The Data Diva” talks to Egil Bergenlind, Founder & Privacy Hero Sidekick at DPOrganizer. We discuss the challenges organizations face with data protection, such as data mapping, DPAs, risk assessments, and training. We also discuss the importance of collaboration and how DPOrganizer's tool helps organizations break out of silos and become more proactive. Egil suggests that companies should take responsibility for the products they put to market and be transparent about the associated risks. He also believes that companies should consider ethical implications when developing new technologies and that they should be held to a higher standard than just what is legally required. Egil and Debbie discuss the challenges of privacy professionals in the face of rapidly advancing AI technology. Egil suggests that harmonized regulation, more awareness of risks, and more people working in the privacy space would help ensure that innovation is balanced with respect for individuals' rights. They also discuss the need for a multidisciplinary approach to privacy with people from different areas of expertise and his hope for Data Privacy in the future. Support the show

Send us a text Debbie Reynolds, “The Data Diva” talks to Franklin GravesTechnology Counsel, HCA Healthcare Attorney, Creator Economy Law Newsletter Author,  focused on emerging technology, intellectual property, and media laws. We discuss Franklin’s legal background journey, his Creator Economy Law Newsletter, and current news related to AI. We also talk about the importance of transparency and the ethical use of AI. Franklin Graves discusses his experience in the music industry and how it has informed his understanding of IP laws, privacy laws, and the implications of targeted advertising for children. He also discusses the implications of US state laws and the difficulty of passing US federal privacy laws. He discusses generative AI tools and their implications for IP, privacy, and commercialization. Franklin discusses the potential risks and liabilities of using AI and ML tools and how to ensure that they are responsibly and sustainably created. He mentions the Content Authenticity Initiative, which is a conglomerate of open-source tools that embed metadata to indicate that the output is generative art. We also bring up a case in Ohio where a man is suing Ancestry.com for using his high school picture in advertisements, which is a privacy and publicity issue. Franklin Graves believes that creators should be put first and that platforms should provide them with the tools they need to be successful. He also believes that platforms should be transparent and respect the rights of creators. He provides his thoughts on the concept of algorithmic destruction and his hopes for Data Privacy in the future.  Support the show