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Development & Protection of AI Technologies
Our Intellectual Property (IP) and Privacy teams work closely together to counsel clients in building, protecting, and commercializing proprietary AI technologies and data; the use of third party or open source AI technologies and data; and the implications that these activities may have under privacy laws.
Experience 29 results
Experience
|December 26, 2024
Insights & News 671 results
In the Media
|June 12, 2025
|1 Min Read
Winston & Strawn partner Bobby Malhotra was quoted in a Bloomberg Law article discussing the OpenAI Inc. copyright lawsuit and legal debate over how to balance a court’s need for information against protecting individuals’ personal data. OpenAI has been challenging a court order to preserve its ChatGPT outputs in a precedent-setting copyright case, claiming the order threatens hundreds of millions of its users’ privacy rights. The first of its kind case will show how courts will weigh legal questions against protecting the privacy of large amounts of personal information in AI-related litigation.
Product Liability & Mass Torts Digest
|June 6, 2025
|2 Min Read
Product liability laws generally only apply to products. The recent explosion in AI technology has forced courts to grapple with a new and fascinating question: are AI applications like chatbots “products” for purposes of product liability law?
Life at Winston
|June 5, 2025
|3 Min Read
Winston’s Hiring Chair Gives Advice to Aspiring Summer Associates
We recently sat down with Winston’s Hiring Committee chair, Samantha Lerner, to discuss how rising 2Ls can shine when interviewing for a summer associate position at Winston.
Other Results 29 results
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What Is Artificial Intelligence (AI)?
The definition of artificial intelligence, also known as AI, is the capability of computers or robots to execute tasks that humans normally do. The meaning of AI can also include the development of computer systems that perform intellectual processes. In other words, machines perform tasks intelligently, such as reasoning and generalizing. Narrow AI is a type of artificial intelligence where the focus is placed on specific tasks. An example of this would be a virtual assistant who has targeted abilities, such as the ability to respond to questions. Strong AI is machine intelligence featuring human cognitive capabilities, such as the ability to make judgments, find solutions, or communicate. Today, it’s important to understand what artificial intelligence systems are commonly used for, including visual perception, speech recognition, and decision-making.
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Generative AI tools can create new content, such as text, computer code, images, audio, sound, and video, in response to a user’s prompt, often in the form of a short written description of the desired output. Generative AI tools are based on machine learning, trained using enormous amounts of data.[1] Generative AI tools are built on a system of inputs and outputs. First, the tool goes through a machine learning period whereby it is trained to generate predictive models and creative outputs through a large data set, often varied and diverse but tailored to the goal of the tool (i.e., customer service, generating scientific or marketing models, etc.). For in-house tools, this can be done with the company’s own data; for larger tools such as ChatGPT, this is done with the creator’s data set.[2] Once the tool has been trained, the individual user “inputs” a short prompt for the tool to synthesize and produce an “output.” Inputs are often retained on the servers controlled by the company that supports the tool, for monitoring of the tool’s performance and, in some cases, continued learning. The “outputs” are created by combining the machine learning during the training period with the inputs to produce an output.[3]