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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 28 results
Experience
|December 26, 2024
Insights & News 641 results
Seminar/CLE
|May 13, 2025
2025 Health Care & Life Sciences Summit
Winston & Strawn is pleased to host its fifth annual Health Care & Life Sciences Summit. Clients and friends of the firm are invited to join us to network with peers and gain insights from industry leaders and legal experts. The summit will take place live at our Chicago office, and CLE-eligible recordings of the Summit’s sessions will be available shortly following the event.
Sponsorship
|April 22, 2025
Winston & Strawn Sponsors the Centri Capital Conference 2025
Winston & Strawn is proud to sponsor the inaugural Centri Capital Conference at Nasdaq in New York City. Attendees will engage with innovative companies across health care, life sciences, disruptive technologies, and more. The event will feature company presentations, one-on-one meetings, insightful panels, and fireside chats. Key topics include the capital market journey for disruptive companies, trends in venture capital, private equity, and private credit, the impact of AI on investors and issuers, and the role of cryptocurrency and blockchain in capital markets. Additionally, the event will explore upcoming global economic and regulatory changes.
Competition Corner
|March 26, 2025
|3 Min Read
President Trump Fires Remaining Democratic FTC Commissioners
On March 18, President Donald Trump fired the Federal Trade Commission’s two remaining Democratic commissioners, Alvaro Bedoya and Rebecca Kelly Slaughter, in an unprecedented move that will likely be litigated to the Supreme Court.
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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]