Homepage on Paul Ohm
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Superwarrants
Focusing Privacy Law
Toward Compliance Zero: AI and the Vanishing Costs of Regulatory Compliance
Focusing on Fine-Tuning: Understanding the Four Pathways for Shaping Generative AI
Governance Seams
Voting for Consent
Fact and Friction: A Case Study in the Fight Against False News
Legacy Switches: A Proposal to Protect Privacy, Security, and the Environment from the Internet of Things
Hello, world!
Hello, world! Another year, another website, another blog. Happy 2022. I’ve had the same black-and-white home page for as long as I’ve been a professor, so more than fifteen years. This new-and-improved version has a few tiny splashes of color and, more importantly, it is responsive . But in its minimalism, it’s very much the spiritual successor to my prior page. The biggest…
Links
Random links Colloquium 1/31/22 slides
About
SHOULD NOT SEE. Paul Ohm is a Professor of Law at the Georgetown University Law Center in Washington, D.C. Professor Ohm builds bridges between computer science and law in his research, service, and teaching, utilizing his training as a lawyer, computer programmer, and network systems admininstrator. His research focuses on information privacy, computer crime law, surveillance, technology and the…
Bio
Paul Ohm is a Professor of Law at the Georgetown University Law Center in Washington, D.C. In his research, service, and teaching, Professor Ohm builds bridges between computer science and law, utilizing his training and experience as a lawyer, policymaker, computer programmer, and network systems administrator. His research focuses on information privacy, computer crime law, surveillance,…
Contact
Online : Email: ohm@law.georgetown.edu Web: Faculty home page Twitter: @paulohm Telephone: 202-662-9685 Office location : Room 822, 500 First Street, N.W., Washington, DC, 20001 (Nearest metro stop: Judiciary Square) Mailing address : Paul Ohm 600 New Jersey Avenue, N.W. Washington, D.C. 20001
The Computer Fraud and Abuse Act After Van Buren
Illusory Conflicts: Post-Employment Clearance Procedures and the FTC’s Technological Expertise
The Many Revolutions of Carpenter
Throttling Machine Learning
Desirable Inefficiency
Forthright Code
Regulating at Scale
Playing With the Data: What Legal Scholars Should Learn About Machine Learning
The Investigative Dynamics of the Use of Malware by Law Enforcement
Regulating Software When Everything Has Software
The Computer Fraud and Abuse Act: Structure, Controversy, and Proposals for Reform
The Surveillance Regulation Toolkit: Thinking Beyond Probable Cause
We Couldn’t Kill the Internet If We Tried
What if Everything Reveals Everything?
Sensitive Information
The Life of Riley (v. California)
What Do the Rules Say About Data Analysis?
Branding Privacy
The Underwhelming Benefits of Big Data
Electronic Surveillance Law and the Intra-Agency Separation of Powers
The Fourth Amendment in a World Without Privacy
Massive Hard Drives, General Warrants, and the Power of Magistrate Judges
Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization
Probably Probable Cause: The Diminishing Importance of Justification Standards
The Argument Against Technology Neutral Surveillance Laws
Computer Programming and the Law: A New Research Agenda
The Rise and Fall of Invasive ISP Surveillance
Good Enough Privacy
The Myth of the Superuser: Fear, Risk, and Harm Online
The Olmsteadian Seizure Clause
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All Courses Taught Artificial Intelligence and Law Computer Crime (Lecture and Seminar) Computer Programming for Lawyers (Introductory and Intermediate) Copyright Criminal Justice Criminal Procedure, Investigative Foundations of American Law in the Technological Age Information Privacy (Lecture and Seminar) Introduction to Intellectual Property Investigating Crime in the Darknet (Short course…
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