Pwned is a weekly information and cyber security podcast addressing real-world security challenges. Occasionally funny, always informational, and driven by those who live and breathe security. Each episode we dive into the latest and greatest in technology, security frameworks, best practices, and how-tos. We’ll chat with industry leaders to learn how they got to where they are, what they see coming, and how they learned from their mistakes.
All content for Pwned: The Information Security Podcast is the property of Justin Fimlaid and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Pwned is a weekly information and cyber security podcast addressing real-world security challenges. Occasionally funny, always informational, and driven by those who live and breathe security. Each episode we dive into the latest and greatest in technology, security frameworks, best practices, and how-tos. We’ll chat with industry leaders to learn how they got to where they are, what they see coming, and how they learned from their mistakes.
Episode 189 - Shaky Plans - Pwned Takes on the President's Blueprint for an AI Bill of Rights
Pwned: The Information Security Podcast
27 minutes 35 seconds
1 year ago
Episode 189 - Shaky Plans - Pwned Takes on the President's Blueprint for an AI Bill of Rights
In the second part of our series on Federal AI proclamations, Justin and Jack make a point-by-point assessment of the Federal view on inalienable protections from AI misbehavior. If you’re concerned with AI’s incursions into everyday life or are interested in understanding whether our leaders have a grasp on the issues, this is an episode you can’t miss.AI is complicated. Cybersecurity is complicated. Political language is complicated. Your Pwned team is here to make things understandable. Tune in and find out.Check out the resources and references mentioned in this episode: Blueprint for an AI Bill of Rights (https://www.whitehouse.gov/ostp/ai-bill-of-rights/)Episode 188 - Safe, Secure, and Trustworthy. Pwned on the President's AI Executive Order (https://www.nuharborsecurity.com/podcast/episode-188-safe-secure-and-trustworthy.-pwned-on-the-presidents-ai-executive-order) Episode 182 - The Next AI Episode - With Diana Kelley! (https://www.nuharborsecurity.com/podcast/pwned-episode-182-the-next-ai-episode-with-diana-kelley)Key Takeaways: 00:00 – Title Sequence00:22 – Introduction to the topic01:47 – Safe and Effective Systems: What Exactly Does That Mean? 10:22 – Algorithmic Discrimination Protections: Put the Human in the Loop14:29 – Data Privacy: Understanding the Cost of Using Services20:05 – Notice and Explanation: Responsibility of Data Exposure22:05 – Human Alternatives, Consideration, and Fallback: Why? Because the Algorithm Says So24:23 – Closing StatementsIf you have any questions or suggestions, send us an email at pwned@nuharborsecurity.com (mailto:pwned@nuharborsecurity.com).For general information, you can reach us at info@nuharborsecurity.com (mailto:info@nuharborsecurity.com).If you like our content, please like, share, and subscribe! We’ll catch you on the next one.Check out NuHarbor Security for complete cybersecurity protection for your business and a security partner you can trust.Website: https://nuharborsecurity.com (https://nuharborsecurity.com)Facebook: https://www.facebook.com/nuharbor/ (https://www.facebook.com/nuharbor/)Twitter: https://twitter.com/NuHarbor (https://twitter.com/NuHarbor)LinkedIn: https://www.linkedin.com/company/nuharbor (https://www.linkedin.com/company/nuharbor)Instagram:
Pwned: The Information Security Podcast
Pwned is a weekly information and cyber security podcast addressing real-world security challenges. Occasionally funny, always informational, and driven by those who live and breathe security. Each episode we dive into the latest and greatest in technology, security frameworks, best practices, and how-tos. We’ll chat with industry leaders to learn how they got to where they are, what they see coming, and how they learned from their mistakes.