AI Ethics That Work: Privacy, Fairness & Security

How do we build AI security that is ethical, resilient, and trustworthy without turning “ethics” into a checkbox?

Host Jason Firch sits down with Tom Vazdar (Chief AI Officer, PurpleSec) and Josh Salvage (CTO, PurpleSec) to unpack the real-world tensions between privacy, fairness, explainability, regulation, human oversight, and adversarial threats.

If you’re a security leader, engineer, or business decision-maker, this conversation will help you separate PR from practice and design AI systems that respect rights, dignity, and safety—while staying practical for SMBs and enterprises alike.

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About The Experts
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Jason Firch, MBA
https://purplesec.us/about-us/leaders...

Tom Vazdar
https://purplesec.us/about-us/leaders...

Joshua Selvidge
https://purplesec.us/about-us/leaders...

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Twitter:
  / purple_sec  

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Video Chapters
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00:00 – Intro
00:01:41 – What are AI security ethics (and why it matters)
00:03:06 – Privacy-by-design & data governance
00:04:57 – Fairness is contextual (hospital vs. battlefield)
00:06:27 – Transparency vs. meaningful explainability
00:08:14 – Security as ethics: adversarial attacks & SMB risk
00:10:26 – Human-in/on-the-loop oversight
00:12:02 – Regulation, standards & accountability
00:14:22 – Audits, impact assessments, whistleblower protections
00:16:02 – Trade-offs among trust, capability, privacy, security
00:18:04 – Culture, strategy, risk assessments, explainability
00:19:22 – The “never-do” list & democratic guardrails
00:21:45 – Wrapping up

#AI #Cybersecurity #Ethics