36 min
AI Governance and Responsible AI with Skyflow’s Robin Andruss Partially Redacted: Data Privacy, Security & Compliance
-
- Technology
Robin Andruss, Skyflow’s Chief Privacy Officer is back to talk about AI governance and responsible AI. We touch on recent talks Robin gave at InfoGov World and IAPP PSR on privacy-enhancing technologies and AI governance.
In this episode, Robin sheds light on the pressing issues of data privacy within this new era of AI-driven product and consumer experiences. She discusses the key privacy challenges inherent to AI, highlighting the concerns voiced by privacy professionals as they navigate this evolving landscape. Robin explores how AI differs from previous technologies in terms of regulation and shares best practices for organizations to ensure data privacy when implementing AI solutions.
Topics:
How does data privacy relate to AI, and what are the key privacy challenges associated with AI?
What are you seeing amongst the privacy professionals in terms of concern around AI?
Why is AI different from perhaps other forms of technology that we’ve developed regulations for in the past?
What is AI governance?
What are the ethical considerations when implementing AI technologies?
Can you share some real-world examples of AI applications that have raised ethical concerns?
What do companies working in the AI space or those interested in integrating with AI platforms or building out new products be thinking about when it comes to AI, privacy, and governance?
Why is transparency and explainability important in AI, and how can organizations achieve these goals?
Are there specific tools or methodologies that can help in making AI systems more transparent and understandable?
What do you think the future looks like in terms of regulating AI?
Robin Andruss, Skyflow’s Chief Privacy Officer is back to talk about AI governance and responsible AI. We touch on recent talks Robin gave at InfoGov World and IAPP PSR on privacy-enhancing technologies and AI governance.
In this episode, Robin sheds light on the pressing issues of data privacy within this new era of AI-driven product and consumer experiences. She discusses the key privacy challenges inherent to AI, highlighting the concerns voiced by privacy professionals as they navigate this evolving landscape. Robin explores how AI differs from previous technologies in terms of regulation and shares best practices for organizations to ensure data privacy when implementing AI solutions.
Topics:
How does data privacy relate to AI, and what are the key privacy challenges associated with AI?
What are you seeing amongst the privacy professionals in terms of concern around AI?
Why is AI different from perhaps other forms of technology that we’ve developed regulations for in the past?
What is AI governance?
What are the ethical considerations when implementing AI technologies?
Can you share some real-world examples of AI applications that have raised ethical concerns?
What do companies working in the AI space or those interested in integrating with AI platforms or building out new products be thinking about when it comes to AI, privacy, and governance?
Why is transparency and explainability important in AI, and how can organizations achieve these goals?
Are there specific tools or methodologies that can help in making AI systems more transparent and understandable?
What do you think the future looks like in terms of regulating AI?
36 min