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AI Law Maze Map

Education for navigating artificial intelligence law.
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U.S. Copyright Law Analysis Questions
By Jill Hubbard Bowman A copyright analysis under U.S. law for potential protection of AI technology or potential infringement is complex. The AI processing pipeline for development and deployment of AI technology involves many actors, actions, and types of technology. But any analysis should start with basic questions. It is essential to understand the genealogy […]
The Copyright Circus of the Century
By Jill Hubbard Bowman Artificial intelligence (AI) has turned copyright law on its head.[i] AI has also caused widespread confusion about the availability and scope of copyright protection in the United States. Questionable, unbalanced copyright assumptions include: Copyrights protect all works on the internet from any use, including AI training. Copyrights protect AI algorithms and […]
The Coming Wave
By Jill Hubbard Bowman 4/26/24 If you read one book on artificial intelligence this year, read The Coming Wave – Technology, Power, and the 21st Century’s Greatest Dilemma. It’s the scariest book I’ve read in a decade, in large part, because the author is not a science fiction writer but a man who may be able […]
IP is a Terrible Term for AI Technology
By Jill Hubbard Bowman The short-hand term “IP” or “intellectual property” is a terrible term for describing AI technology for several reasons. First, as described in the last post of AI Law Maze Map, intellectual property law may not protect many types of AI technology, depending on the law of the country of origin. If […]
AI Technology Doesn’t Fit IP Law
“Applying copyright law to computer programs is like assembling a jigsaw puzzle whose pieces do not quite fit.” Lotus Dev. Corp. v. Borland Int’l, 49. F.3d 807, 820 (1st Cir. 1995) Judge Boudin’s quote above is even more appropriate for artificial intelligence (AI) technology. It’s unlike the human, creative, written works and conceptions in […]
AI Key Terms: Data and Processing
By Jill Hubbard Bowman As one AI engineer explained to me, data is water to AI. It’s essential. AI is all about types of data—from raw training input to algorithms to the model and the final output. And like water, input data can be contaminated and need cleaning before it’s ingested. Engineers use “pipelines” for […]
AI Key Terms: AI Models
By Jill Hubbard Bowman This is part of a series on Key Terms for the AI Law Maze Map blog. In prior posts, I described artificial intelligence, AI systems, and machine learning. Today, I’ll describe more about AI models. In the final installment, I’ll discuss terms related to data and processing software. Models are the […]
AI Key Terms: AI System for EU AI Act
By Jill Hubbard Bowman This blog will explore the European Union’s new Artificial Intelligence Act (AI Act), which was recently approved by 27 member states, as it is implemented over the next year. The council of the EU recently released the text of the provisional agreement which includes the key terms for understanding the scope […]
AI Key Terms: Machine Learning Types
By Jill Hubbard Bowman The main goal of this AI Law Maze Map blog is to help you navigate the twists and turns of AI law. But to get on the path, you must understand some AI terminology and how AI systems are created. After briefly explaining some basics in this Key Terms series, including […]
AI Key Terms: Artificial Intelligence
This AI Law Maze Map blog starts with the basics. In this four-part series, I’ll explain terms related to (1) artificial intelligence; (2) machine learning; (3) AI models; and (4) data. A full Key Terms resource guide including all the definitions in the series will be provided at the end. AI terms are confusing. Many […]
Controlling Advanced AI
Hollywood movie makers and tech titans have warned that unless advanced AI is controlled, there could be catastrophic consequences. For example,in Mission: Impossible — Dead Reckoning Part One, the AI villain is a “self-aware, self-learning, truth-eating, digital parasite infesting all of cyberspace.” Its goal is to take over the world’s intelligence networks, our digital reality, […]

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