BEGIN:VCALENDAR VERSION:2.0 PRODID:-//swoogo.com//NONSGML kigkonsult.se iCalcreator 2.41.90// CALSCALE:GREGORIAN UID:63363431-3533-4764-b131-303233323831 BEGIN:VEVENT UID:b495d977d176c7aaed703e0d443f2432e62aa931@swoogo.com DTSTAMP:20260419T232759Z DESCRIPTION:All is not always as it appears – especially in the realm of el ectronically-stored information.  It has always been possible for ESI to b e deliberately altered or entirely fabricated\, but in recent years\, new machine learning techniques have made it possible for computers to produce a tsunami of fake images\, fake audio recordings\, and fake video recordi ngs with disturbing quality and ease.  First came “deepfakes” that enabled amateurs using personal computers to replace the original faces or voices in video or audio recordings with new ones\, using publicly-available mac hine-learning algorithms trained using online source media.  Next came clo ud-based generative AI tools\, which allow for images and videos to be gen erated automatically from text prompts.  This looming tsunami of artificia l content will likely pose real challenges to our current discovery proces ses\, from new opportunities to inadvertently rely on something altered or unreal\, to new opportunities for intentional spoliation or fabrication\, to new technical and legal authentication challenges.  In this program\, a group of expert practitioners will discuss these new challenges and how we can prepare for them.\n\n * Learn the difference between deepfake tools\ , large language models\, and other generative AI content sources\n * Gain an understanding of the potential risks  of such materials in discovery a nd how you can work to mitigate them\n * Consider how the existence of the se technologies may undermine even legitimate video and audio evidence\n\n [cle.png] DTSTART:20250326T180000Z DTEND:20250326T190000Z LAST-MODIFIED:20260419T232759Z LOCATION:Rendezvous Trianon SEQUENCE:0 STATUS:CONFIRMED SUMMARY:When You Can’t Believe What You See: The Rise of Deepfakes and Gene rative AI TRANSP:OPAQUE X-ALT-DESC;FMTTYPE=text/html:

All is not alway s as it appears – especially in the realm of electronically-stored informa tion.  It has always been possible for ESI to be deliberately altered or e ntirely fabricated\, but in recent years\, new machine learning techniques have made it possible for computers to produce a tsunami of fake images\, fake audio recordings\, and fake video recordings with disturbing quality and ease.  First came “deepfakes” that enabled amateurs using personal co mputers to replace the original faces or voices in video or audio recordin gs with new ones\, using publicly-available machine-learning algorithms tr ained using online source media.  Next came cloud-based generative AI tool s\, which allow for images and videos to be generated automatically from t ext prompts.  This looming tsunami of artificial content will likely pose real challenges to our current discovery processes\, from new opportunitie s to inadvertently rely on something altered or unreal\, to new opportunit ies for intentional spoliation or fabrication\, to new technical and legal authentication challenges.  In this program\, a group of expert practitio ners will discuss these new challenges and how we can prepare for them.

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BEGIN:VALARM UID:64633933-6135-4463-b432-353766333633 ACTION:DISPLAY DESCRIPTION:All is not always as it appears – especially in the realm of el ectronically-stored information.  It has always been possible for ESI to b e deliberately altered or entirely fabricated\, but in recent years\, new machine learning techniques have made it possible for computers to produce a tsunami of fake images\, fake audio recordings\, and fake video recordi ngs with disturbing quality and ease.  First came “deepfakes” that enabled amateurs using personal computers to replace the original faces or voices in video or audio recordings with new ones\, using publicly-available mac hine-learning algorithms trained using online source media.  Next came clo ud-based generative AI tools\, which allow for images and videos to be gen erated automatically from text prompts.  This looming tsunami of artificia l content will likely pose real challenges to our current discovery proces ses\, from new opportunities to inadvertently rely on something altered or unreal\, to new opportunities for intentional spoliation or fabrication\, to new technical and legal authentication challenges.  In this program\, a group of expert practitioners will discuss these new challenges and how we can prepare for them.\n\n * Learn the difference between deepfake tools\ , large language models\, and other generative AI content sources\n * Gain an understanding of the potential risks  of such materials in discovery a nd how you can work to mitigate them\n * Consider how the existence of the se technologies may undermine even legitimate video and audio evidence\n\n [cle.png] TRIGGER:-PT15M END:VALARM END:VEVENT END:VCALENDAR