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Masterclass - AI Law & US Constitutional Law
» 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”