Privacy laws in our modern computing era have been around for well over twenty years. The conversation around appropriate privacy measures and effective governance of data has matured quite nicely since the early days of the internet. While breaches do continue to happen, laws like GDPR, HIPAA and CCPA have helped set expectations for ethical and effective privacy practices.
But we are in the midst of a massive proliferation of generative AI models. Since the technology is so nascent our expectations of privacy are being reshaped. An AI model is fundamentally a mathematical representation of a large data set. Its probabilistic function will create information depending on the prompts it can be given. Deep in the model the data used to ‘train’ it still leaves a fingerprint of the source information. What are the expectations for privacy, copyright and safety to those of us that have shared information on the internet?
In this episode of Secure Talk, host Justin Beals engages in a comprehensive discussion with Dan Clarke, about the significant impact of AI. The conversation begins with Dan’s early days in computing and follows his journey into developing AI governance. They explore the transformative effects of AI in comparison to historical technological innovations, as well as the risks and biases that are inherent in AI systems. Additionally, they discuss current and future legal compliance issues.
Dan shares personal anecdotes related to privacy challenges and the applicability of AI, emphasizing the importance of transparency, thorough risk assessment, and bias testing in AI implementations. This episode provides valuable insights for anyone interested in the ethical and responsible use of AI technology in today's applications.
00:00 Welcome to SecureTalk: Exploring Information Security
00:32 The Evolving Landscape of Privacy and AI
01:47 Introducing Dan Clarke: AI Privacy Leader
03:10 Dan Clarke's Journey: From Intel to Privacy Advocacy
04:14 The Impact of AI: Paradigm Shifts and Privacy Concerns
06:08 Personal Data and Privacy: A Real-Life Story
08:45 The Importance of Data Control and Fairness
13:10 AI Governance and Legal Responsibilities
21:02 Current Laws Impacting AI and Privacy
26:47 Legal Basis for Data Usage
27:01 Introduction to Truio and InnerEdge
27:29 The Birth of Truio: Addressing GDPR
28:39 AI Governance and Federal Privacy Law
30:48 Transparent AI Practices
31:58 Understanding AI Risks and Transparency
36:52 AI Use Cases and Risk Assessment
44:57 Bias Testing and AI Governance
50:39 Concluding Thoughts on AI and Governance