Masterclass - AI Law & US Constitutional Law

$2,000.00

» AI is not outside the law. This masterclass shows you how the law actually applies.

Learn to Think Like the Nation’s Top Intelligence Professionals

This masterclass distills the analytical rigor, legal reasoning, and risk-aware decision frameworks used at the highest levels of the U.S. Intelligence Community—applied to artificial intelligence, machine learning, and their legal and constitutional implications.

This is not speculative policy debate. It is how serious organizations evaluate, govern, and deploy AI under real legal, ethical, and national-security constraints.

No hype. No vendor agendas. Just how AI is assessed when the stakes are high and the consequences are real.

Why Trust This Training?

This masterclass is developed and taught by Dr. Paul Roysdon, former Deputy Director of National Intelligence and Chief Data Scientist at the NSA, who trained and advised senior analysts and executives across the Intelligence Community and private sector.

The material reflects how AI and advanced analytics are evaluated in high-consequence legal and operational environments—where decisions must be defensible, systems must be trusted, and governance failures carry real cost. That same disciplined thinking is applied here to AI law, constitutional constraints, and enterprise decision-making.

Masterclass Overview

8-Hour Executive Seminar | Technical & Non-Technical Audiences

This masterclass is designed for leaders, legal professionals, technologists, and policymakers who must understand how AI intersects with U.S. law, constitutional rights, and enterprise risk—without becoming engineers or lawyers.

The course cuts through confusion and misinformation to provide a clear, intelligence-grade understanding of:

  • What AI is and is not from a legal perspective

  • How existing U.S. laws apply to AI systems today

  • Where genuine legal gaps exist—and where they do not

  • How courts, regulators, and national-security institutions reason about AI

The emphasis is on decision-making under uncertainty, not abstract theory.

Core Topics Covered

Foundations of AI & Legal Reasoning

  • What constitutes “artificial intelligence” under law

  • Types and characteristics of AI systems

  • Can machines “think”? (Turing Test and its legal relevance)

  • Legal personhood vs. agency

Taxation, Labor, and Economic Impact

  • Automation, employment, and historical precedents

  • Tax policy implications of AI-driven automation

  • Human rights considerations in large-scale automation

Liability & Tort Law

  • Liability for AI-caused harm

  • Machines versus corporations under tort law

  • Autonomous vehicles and AI-generated torts

  • The shift from the “reasonable person” to the “reasonable robot”

Intellectual Property & Data Protection

  • AI-generated inventions and patent law

  • Ownership of AI-generated IP

  • Copyright implications for generative AI

  • GDPR, data protection, and trade secrets

Criminal Law & AI

  • Can AI be punished? Should it be?

  • Criminal liability standards for AI and corporations

  • Cybercrime, automation, and irreducible responsibility

  • Alternatives to punishment for machine behavior

Constitutional Law & AI Neutrality

  • Human rights, equality, and algorithmic neutrality

  • First, Fourth, and Fifth Amendment considerations

  • Privacy, surveillance, and AI-driven decision systems

  • AI use in courts, finance, medicine, and government

Risk Management & National Security

  • AI governance in national-security contexts

  • GDPR and international regulatory risk

  • Arms control, autonomous systems, and escalation concerns

Learning Outcomes

By the end of the masterclass, participants will be able to:

  • Assess AI systems through legal, constitutional, and risk lenses

  • Understand how existing U.S. laws already apply to AI

  • Identify where AI introduces genuinely new legal challenges

  • Evaluate liability, IP, and criminal responsibility involving AI

  • Communicate effectively with legal, technical, and executive stakeholders

  • Make defensible decisions about AI deployment and governance

This is not a technical course. It is not a law school survey. It is a decision-making and governance course.

Executive Format. Focused Engagement. Immediate Clarity.

The masterclass is delivered in small, invitation-only groups to enable candid discussion and peer-level engagement. Sessions are interactive and tailored to the audience, encouraging participants to test assumptions and explore real organizational challenges in a confidential setting.

Delivery may be on-site at a client facility or off-site at a private executive or conference venue, depending on organizational needs.

This format is designed for leaders who require clear mental models, sound legal judgment, and defensible AI decisions—not operational training.

Pricing

Fees are $2,000 per person. Each attendee will receive a copy of Dr. Roysdon’s AI/ML book “A Comprehensive Approach to Data Science, Machine Learning and AI

» AI is not outside the law. This masterclass shows you how the law actually applies.

Learn to Think Like the Nation’s Top Intelligence Professionals

This masterclass distills the analytical rigor, legal reasoning, and risk-aware decision frameworks used at the highest levels of the U.S. Intelligence Community—applied to artificial intelligence, machine learning, and their legal and constitutional implications.

This is not speculative policy debate. It is how serious organizations evaluate, govern, and deploy AI under real legal, ethical, and national-security constraints.

No hype. No vendor agendas. Just how AI is assessed when the stakes are high and the consequences are real.

Why Trust This Training?

This masterclass is developed and taught by Dr. Paul Roysdon, former Deputy Director of National Intelligence and Chief Data Scientist at the NSA, who trained and advised senior analysts and executives across the Intelligence Community and private sector.

The material reflects how AI and advanced analytics are evaluated in high-consequence legal and operational environments—where decisions must be defensible, systems must be trusted, and governance failures carry real cost. That same disciplined thinking is applied here to AI law, constitutional constraints, and enterprise decision-making.

Masterclass Overview

8-Hour Executive Seminar | Technical & Non-Technical Audiences

This masterclass is designed for leaders, legal professionals, technologists, and policymakers who must understand how AI intersects with U.S. law, constitutional rights, and enterprise risk—without becoming engineers or lawyers.

The course cuts through confusion and misinformation to provide a clear, intelligence-grade understanding of:

  • What AI is and is not from a legal perspective

  • How existing U.S. laws apply to AI systems today

  • Where genuine legal gaps exist—and where they do not

  • How courts, regulators, and national-security institutions reason about AI

The emphasis is on decision-making under uncertainty, not abstract theory.

Core Topics Covered

Foundations of AI & Legal Reasoning

  • What constitutes “artificial intelligence” under law

  • Types and characteristics of AI systems

  • Can machines “think”? (Turing Test and its legal relevance)

  • Legal personhood vs. agency

Taxation, Labor, and Economic Impact

  • Automation, employment, and historical precedents

  • Tax policy implications of AI-driven automation

  • Human rights considerations in large-scale automation

Liability & Tort Law

  • Liability for AI-caused harm

  • Machines versus corporations under tort law

  • Autonomous vehicles and AI-generated torts

  • The shift from the “reasonable person” to the “reasonable robot”

Intellectual Property & Data Protection

  • AI-generated inventions and patent law

  • Ownership of AI-generated IP

  • Copyright implications for generative AI

  • GDPR, data protection, and trade secrets

Criminal Law & AI

  • Can AI be punished? Should it be?

  • Criminal liability standards for AI and corporations

  • Cybercrime, automation, and irreducible responsibility

  • Alternatives to punishment for machine behavior

Constitutional Law & AI Neutrality

  • Human rights, equality, and algorithmic neutrality

  • First, Fourth, and Fifth Amendment considerations

  • Privacy, surveillance, and AI-driven decision systems

  • AI use in courts, finance, medicine, and government

Risk Management & National Security

  • AI governance in national-security contexts

  • GDPR and international regulatory risk

  • Arms control, autonomous systems, and escalation concerns

Learning Outcomes

By the end of the masterclass, participants will be able to:

  • Assess AI systems through legal, constitutional, and risk lenses

  • Understand how existing U.S. laws already apply to AI

  • Identify where AI introduces genuinely new legal challenges

  • Evaluate liability, IP, and criminal responsibility involving AI

  • Communicate effectively with legal, technical, and executive stakeholders

  • Make defensible decisions about AI deployment and governance

This is not a technical course. It is not a law school survey. It is a decision-making and governance course.

Executive Format. Focused Engagement. Immediate Clarity.

The masterclass is delivered in small, invitation-only groups to enable candid discussion and peer-level engagement. Sessions are interactive and tailored to the audience, encouraging participants to test assumptions and explore real organizational challenges in a confidential setting.

Delivery may be on-site at a client facility or off-site at a private executive or conference venue, depending on organizational needs.

This format is designed for leaders who require clear mental models, sound legal judgment, and defensible AI decisions—not operational training.

Pricing

Fees are $2,000 per person. Each attendee will receive a copy of Dr. Roysdon’s AI/ML book “A Comprehensive Approach to Data Science, Machine Learning and AI