AI-narrated technology, cyber, policy, and investigative storytelling built from the lectures, research, and ideas of Professor Adam Scott Wandt.
Structuring the Void: Reconciling AI Mechanics with Legal Governance We dissect the foundational concepts of AI governance, mapping the operational mechanics of deep learning and backpropagation against the legal boundaries of tort liability and administrative compliance. Discover why the 'black box' problem is a technical reality public administrators must navigate. š Class Connection: This is the official video overview for PAD 747: AI Policy and Regulation (Governance, Law, and Public Administration) at CUNY John Jay College of Criminal Justice. š Access the course resources, readings, and public policy toolkits at: https://reWandt.com TIMESTAMPS: 0:00 - Introduction & Video Start 1:23 - Pillar 1: Computer Science & Symbolic AI 1:47 - Pillar 1: Sub-Symbolic AI & Deep Learning 2:26 - The Black Box & Backpropagation 3:07 - Pillar 2: Philosophy & The Chinese Room 4:05 - Pillar 3: Law, Tort Liability & Administrative Law 5:12 - National Strategy & Policy Frameworks 6:32 - Conclusion & Outro āļø DISCLAIMER: This video was generated using artificial intelligence narration and compilation. While we make every effort to ensure the accuracy and correctness of the courseware and materials presented, minor errors or incongruities may occasionally occur. The content and presentation do not necessarily represent the official viewpoints or personal opinions of Professor Adam Scott Wandt. #reWandt #AIPolicy #AIGovernance #JohnJayCollege #PublicAdministration
reWandt is a digital media series built to bring emerging technology, cybersecurity, digital investigations, public policy, and AI-driven change to a broader audience through fast, accessible, high-impact episodes.
The technologies reshaping society should not be discussed only behind closed doors. reWandt opens those conversations to a wider audience.
Structuring the Void: Reconciling AI Mechanics with Legal Governance We dissect the foundational concepts of AI governance, mapping the operational mechanics of deep learning and backpropagation against the legal boundaries of tort liability and administrative compliance. Discover why the 'black box' problem is a technical reality public administrators must navigate. š Class Connection: This is the official video overview for PAD 747: AI Policy and Regulation (Governance, Law, and Public Administration) at CUNY John Jay College of Criminal Justice. š Access the course resources, readings, and public policy toolkits at: https://reWandt.com TIMESTAMPS: 0:00 - Introduction & Video Start 1:23 - Pillar 1: Computer Science & Symbolic AI 1:47 - Pillar 1: Sub-Symbolic AI & Deep Learning 2:26 - The Black Box & Backpropagation 3:07 - Pillar 2: Philosophy & The Chinese Room 4:05 - Pillar 3: Law, Tort Liability & Administrative Law 5:12 - National Strategy & Policy Frameworks 6:32 - Conclusion & Outro āļø DISCLAIMER: This video was generated using artificial intelligence narration and compilation. While we make every effort to ensure the accuracy and correctness of the courseware and materials presented, minor errors or incongruities may occasionally occur. The content and presentation do not necessarily represent the official viewpoints or personal opinions of Professor Adam Scott Wandt. #reWandt #AIPolicy #AIGovernance #JohnJayCollege #PublicAdministration
Mapping the professional, technical, and legal frameworks governing digital forensic examiners, introducing the 4 phases of the admissibility pipeline (operational lab configuration, DFIR analysis, legal compliance, and reporting). Welcome to reWandt Courseware, an AI-narrated technology video series unpacking the latest lectures and thoughts from Professor Adam Scott Wandt of the John Jay College of Criminal Justice in New York City. This video covers Module 1 content. TIMESTAMPS: 0:00 - Intro / Foundations of DFIR 1:06 - Phase 1: Operational Lab Configuration 1:43 - Phase 2: DFIR Analysis & Threats 2:31 - Phase 3: Legal Admissibility & Compliance 4:19 - Phase 4: Synthesis & Reporting š Explore further research and courseware resources at: https://reWandt.com āļø DISCLAIMER: This video was generated using artificial intelligence narration and compilation. While we make every effort to ensure the accuracy and correctness of the courseware and materials presented, minor errors or incongruities may occasionally occur. The content and presentation do not necessarily represent the official viewpoints or personal opinions of Professor Adam Scott Wandt. #reWandt #Module1 #DigitalForensics
Take a single scrambled paragraph and feed it into four different AI systems. You won't get a consensus. You will get four wildly different responses. In his opening keynote at the 2026 International Linguistics Association conference, Professor Adam Scott Wandt maps the cognitive architecture of AI. He demonstrates how language models like ChatGPT, Claude, and Gemini process language distinctly differently, proving that AI is not a single, objective entity, but rather a collection of highly opinionated engines. Professor Wandt explores the systemic hazards of inherited algorithmic bias in foundational training data, and warns of the "second digital divide" currently fracturing classrooms and workplaces. Explore the full lecture to understand why human expertise and precise prompt engineering are the irreplaceable forces needed to direct our technological future. https://reWandt.com #reWandt #AIEthics #AlgorithmBias
Professor Adam Scott Wandt is a tenured Associate Professor of Public Policy and Deputy Chair for Technology at John Jay College of Criminal Justice. A New York attorney, educator, and researcher, his work focuses on the intersection of law, policy, security, and digital investigations, with particular emphasis on artificial intelligence, cybersecurity, OSINT, surveillance, privacy, cryptocurrency, darknet markets, and other emerging technologies shaping public safety and modern institutions.
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