Send us a textDebbie 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.Support the show

Send us a textDebbie Reynolds, "The Data Diva" talks to Pádraig O'Leary, Co-founder and CEO of Trust Works. We discuss Data Privacy issues in the enterprise, and the challenges organizations face in Data Privacy and protection, including the need for a more proactive approach to tackling these challenges. We delve into the difficulties of dealing with right-to-be-forgotten requests, including the lack of accurate data mapping and the need for flexibility in finding the right solutions. Additionally, we touch on the challenges of dealing with unstructured data and the need for a risk-based approach to Data Privacy, as well as the importance of considering the limitations of automation in Data Privacy and protection.We discuss how Trust Works differentiates itself in the crowded privacy space. Padraig explains that the company emphasizes collaboration and automation and that its approach to privacy tool design drives certain choices in how the solution is designed. We also discuss the challenge of AI creep, where companies may unknowingly adopt AI-powered tools without considering the risks associated with them.We suggest that companies must build a second data map specifically for AI-powered tools and that privacy professionals must be involved in this process. Additionally, they propose the idea of a kill switch functionality to turn off AI capabilities if necessary.Finally, we discuss the challenges of building diverse and skilled privacy teams. Padraig emphasizes that privacy professionals need to have a unique set of skills that bring together legal, technical, operational, and ethical considerations. Debbie agrees and highlights the benefits of having a well-rounded team of people who understand data and the different angles data challenges take. They both believe that more people from diverse backgrounds and industries must be brought into privacy to build diversity in the field and his wish for the future.Support the show

Send us a textDebbie Reynolds, “The Data Diva” talks to Kim  Emiru, Vice President, Privacy, Sony Pictures Entertainment. We discuss the importance of considering privacy first when approaching a job, especially in multinational corporations where privacy laws and cultural expectations vary. We discuss the complexities of hiring for privacy positions and the impact of data collection on minority populations. We stress the importance of diverse viewpoints in improving businesses and the need for more opportunities for people of color in the privacy field. We also discussed the importance of privacy in the workplace and how it can impact career prospects, as well as the rise of Generative AI and the need for sensible policies and guidelines to be put in place to ensure that employees are aware of the risks and benefits of using new technologies.We discuss the challenges of navigating the complex privacy laws in the US and the potential impact of AI on privacy legislation and the importance of being mindful about sharing information on social media, especially when it comes to children, and the upcoming changes in child privacy laws, including the California Age Appropriate Design Code. We emphasize the importance of building relationships and supporting each other in the workplace and the need for clear definitions and consistency in privacy legislation to protect individuals while making it as easy as possible for businesses to comply and her hope for Data Privacy in the future.Support the show

Send us a textDebbie Reynolds, “The Data Diva” talks to Nereida Parks, a Data Privacy, Information, and Data Governance professional Specializing in AI Ethics and Biometrics. We discuss various topics related to data privacy and data governance, emphasizing the importance of data privacy as an operational issue and not just a legal issue and the need for proper training and processes to prevent internal breaches. We also discuss the challenges and risks associated with AI initiatives, including biases and heightened privacy risks, and the importance of responsibility and ethics in developing and using these technologies. We stress the need for companies to prioritize Data Privacy and invest in proper infrastructure to protect themselves and their customers. We also discuss the importance of good data stewardship and transparency in data collection and deletion and the need to protect people's Data Privacy and prohibit the selling or profiting from people's data. We emphasize the need for consistent policies and laws that encompass all elements of Data Privacy and ethics and the difficulties of navigating different laws in different U.S. states. We also discuss the challenges of data retention and destruction, particularly in relation to Data Privacy issues and the need for proper means to destroy data that no longer has business value. We emphasize the importance of continuous learning and change management in implementing data privacy programs and other new concepts in organizations.Support the show

Send us a textDebbie Reynolds, “The Data Diva” talks to Beatrice Botti, Vice President, Chief Privacy Officer,  DoubleVerify. We discuss Beatrice's career journey and how she found the privacy industry. We also discuss the importance of privacy and the need for technical engineers to get involved in privacy projects. Beatrice also shared her personal experience of being a private person and how it has influenced her career. We discuss the challenges of providing transparency to users when they lack the necessary knowledge and the potential for unintended outcomes of AI. She also highlighted the need for more education around privacy and online security and the potential for automated decision-making to have a negative impact on people's lives. We discuss the impact of credit score drops, machine learning, and cross-border data transfers on people's lives. We agree that the Internet was built to bridge distance, not to make it greater and that federal legislation is needed to fix the issue of data transfers. We discuss the difficulty of understanding the ever-changing laws and regulations. Beatrice Botti and Debbie Reynolds discussed the importance of bridging the gap between technology and the general public to increase transparency and understanding of privacy and data protection. They also discussed using pop culture movies to help people understand privacy better, and her hope for Data Privacy in the future.Support the show

Debbie Reynolds, The Data Diva, talks to Tom Kemp, an entrepreneur and policy advisor. They discuss the need for a federal privacy law to harmonize personal data definitions. They explore the weaponization of data and the creation of a digital caste system. They emphasize the importance of privacy rights, including the right to know, say no, correct, and delete personal data. They highlight the significance of the Global Privacy Control and universal opt-out signals. They stress the need for privacy practitioners to avoid third-party risks and communicate privacy issues to a wider audience.

Send us a textDebbie Reynolds, “The Data Diva” talks to Swanti Handa, Privacy Product Executive, X formally known as Twitter. We discuss the importance of data responsibility and how it applies to emerging technologies like AI. Swati shares personal experiences with identity theft and online fraud that have shaped her mission toward a Data Privacy career. We emphasize the need for individuals and organizations to take responsibility for protecting user data and prioritize user-centricity and privacy in their data practices. We also discuss the limitations of de-identification and encryption in protecting privacy, the potential consequences of misusing data, and the need for transparency and user control. We explore various privacy concerns and solutions, including lack of control for end users, facial recognition technology, and privacy for young adults. We discuss the challenges faced by companies and schools when implementing emerging technologies and stressed the importance of assessing and mitigating risks and her wish for Data Privacy in the future.Support the show

David Hendrawirawan, Owner of Code Ninjas and Adjunct Professor at the University of Texas at Austin, discusses the challenges of educating people about data privacy issues in K-12. The lack of focus on Data Privacy in current curriculums is highlighted, along with the potential harm of not being informed about these issues. The complex legal and ethical issues surrounding data scraping are explored, emphasizing the need for limitations on consent. The challenges of teaching cybersecurity and coding in K-12 education are also discussed, along with the importance of diversity and inclusion in leadership and education.

Send us a textDebbie 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.Support the show

Send us a textDebbie 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.Support the show