Copyright, Text Mining, and AI

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This workshop provides an overview of the legal considerations for researchers, creatives, and professionals navigating the rapidly evolving landscape of AI. Participants will learn about ownership, fair use, and legal obligations when using copyrighted material in AI training and when incorporating AI into their work. We will also discuss how AI is shaping the academic publishing landscape, particularly its impact on text mining for research purposes. There will be plenty of room for questions!

Workshop slides and workshop transcript are also available in Google drive.

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Videos in mediaspace have a new look and feel.

The morning of Wednesday 8 January, we updated the look and feel of Kaltura videos by moving from Player 2 to Player 7. The new player has a cleaner look, some improvements to controls, and a new transcript viewer. Also thanks to the upgrade we can now allow owners and co-editors of videos with two feeds to download *both* recordings from the mediaspace website.

As of the upgrade and going forward all videos play on mediaspace in the new player. Also since the upgrade any video you embed in Canvas or elsewhere, with the built-in tools in Canvas or the embed code from mediaspace, will play with the new player. However, any videos embedded anywhere before the update will continue to play in Player 2.

To take advantage of the new player, and use a fully-supported player, we urge you to re-embed videos in Canvas or elsewhere, retracing the steps you took the first time.

For more information on updating your links to take advantage of the new player: https://answers.uillinois.edu/illinois/146970
For more information on viewing media with the new player: https://answers.uillinois.edu/illinois/146972

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Copyright, Text Mining, and AI

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