Guest Lecture by Dr. Akmaljon Rakhimjonov (National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan)

Guest Lecture by Dr. Akmaljon Rakhimjonov (National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan)

We are pleased to inform about a Guest Lecture by Dr. Akmaljon Rakhimjonov (National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan)

Our Guest will give an online lecture on „Artificial Intelligence and Copyright” on Friday, October 25, 2024; 7:15 – 9:00 CET
 

All members and friends of our Faculty community are very welcome to attend!

Please write to joanna.zakrzewska@ug.edu.pl to receive a link to the lecture.


Akmaljon RakhimjonovDr. Akmaljon Rakhimjonov is senior lecturer at the National University of Uzbekistan named after Mirzo Ulugbek, where he specializes in the Civil Law, Intellectual Property Law, Patent Law, International Patent Law and Copyright Law with a particular focus on the Artificial Intelligence in Copyright Law sphere.
 

About the lecture:
Innovations in artificial intelligence (AI) are raising new questions about how copyright law principles such as authorship, infringement, and fair use will apply to content created or used by AI. So-called “generative AI” computer programs — such as Open AI’s DALL-E and ChatGPT programs, Stability AI’s Stable Diffusion program, and Midjourney’s self-titled program — are able to generate new images, texts, and other content (or “outputs”) in response to a user’s textual prompts (or “inputs”). These generative AI programs are trained to generate such outputs partly by exposing them to large quantities of existing works such as writings, photos, paintings, and other artworks. This Legal Sidebar explores questions that courts and the U.S. Copyright Office have begun to confront regarding whether generative AI outputs may be copyrighted and how generative AI might infringe copyrights in other works.

 

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Submitted on Tuesday, 22. October 2024 - 11:33 by Sławomir Dajkowski Changed on Monday, 4. November 2024 - 11:54 by Marcin Wiszowaty