You clicked “Agree.” What did you actually agree to?

In this episode, Nick Schutt sits down with Morgan Woodbury (Syrenis) to unpack the messy reality of consent in the age of AI. They cover how inferences get treated as permission, where the line sits between personalization and manipulation, and why just-in-time consent still matters when companies are quietly building profiles on you.

Morgan walks through real-world examples (without the full war stories), what state privacy laws actually change, and practical ways to think about the data you’re already sharing.

Guest: Morgan Woodbury, Syrenis

Host: Nick Schutt

Lawyer and data scientist Bennett Borden joins Nick Schutt to talk about the first technological revolution aimed at knowledge work, not factories. Borden traces a path from a 1990s CIA analytics shop to Georgetown Law, Big Law AI chairs, NIST’s AI Risk Management Framework, and founding Clarion AI Partners. The conversation covers Iron Man versus Terminator, constitutional AI and QC agents, the reasonableness standard, why society got social media wrong, Utah’s mental-health chatbot statute, education tutors that refuse to hand over the answer, and why frontier-model jailbreaks still keep him up at night. Listen to Robots and Red Tape.

• Why generative AI hits lawyers, consultants, and CEOs first
• Building agents you can actually control, with telemetry and a QC bot
• Regulation that cannot keep pace, and the common-law test that still does
• Social media’s attention algorithm as a warning, not a template
• Education, medicine, and small models trained on a firm’s own “secret sauce”

Guest: Bennett Borden, Founder & CEO, Clarion AI Partners — lawyer and data scientist at the intersection of law, technology, and data.

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Watch: https://youtu.be/oLEbBH-qayU

Podcast: Robots and Red Tape | Host: Nick Schutt | YouTube: @RobotsandRedTapeAI

In this episode of Robots and Red Tape, host Nick Schutt sits down with Austin Keller, Director of Data Science at IntelliDyne, for a grounded conversation on why critical systems still run on DOS, floppies, and “version 15 final redo,” and why most AI projects start in the wrong place.

Drawing on manufacturing, Navy, DOJ, and VA work, Austin argues you start with the business problem—not the shiny tool—and that security is step zero.

Key topics:

• Why “if it works, don’t mess with it” leaves agencies on 20–30-year-old stacks
• Starting with the job to be done, not “we want AI”
• Data that will not talk to other data—and why that is by design
• Coding agents that can read COBOL and Fortran when the last developer is gone
• Where AI ROI actually shows up: repetitive tasks, small agents, and UI that saves keystrokes

Podcast: Robots and Red Tape | Host: Nick Schutt | YouTube: @RobotsandRedTapeAI

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