Youtube non è corresponsabile delle violazioni di copyright date da ripetuti upload sulla sua piattaforma. Così US distr. court southern district of Florida 16 maggio 2023, Case No. 21-21698-Civ-GAYLES/TORRES, Athos overseas ltc c. Youtube-Google.
According to Plaintiff, Defendants are liable under direct and secondary infringement theories for YouTube’s failure to prevent the systematic re-posting of Plaintiff’s copyrighted movies to its platform. Plaintiff contends that YouTube has turned a blind eye to rampant infringement of Athos’ copyrights by refusing to employ proprietary video-detection software to block or remove from its website potentially infringing clips, and not just clips specifically identified by URL in Plaintiff’s DMCA takedown notices. In essence, Plaintiff argues that evidence of YouTube’s advanced video detection software, in conjunction with the thousands of takedown notices Athos has tendered upon YouTube, give rise to genuine issues of fact as to whether Defendants have forfeited the DMCA’s safe harbor protections.
Domanda rigettata: il provider non pèerde il suo safe harbour ex 17 US code § 512 per assenbza dell’element soggettivo:
<<Indeed, in Viacom the Second Circuit rejected identical arguments to the ones asserted here by Athos, which were presented in a lawsuit brought by various television networks against YouTube for the unauthorized display of approximately 79,000 video clips that appeared on the website between 2005 and 2008. Viacom, 676 F.3d at 26. Among other things, the Viacom plaintiffs argued that the manner in which YouTube employed its automated video identification tools—including liming its access certain users—removed the ISP from the safe harbor. Id. at 40–41. Yet, the court unequivocally rejected plaintiffs’ arguments, holding that the invocation of YouTube’s technology as a source of disqualifying knowledge must be assessed in conjunction with the express mandate of § 512(m) that “provides that safe harbor protection cannot be conditioned on ‘a service provider monitoring its service or affirmatively seeking facts indicating infringing activity[.]’”9 Viacom, 676 F.3d at 41 (quoting 17 U.S.C. § 512(m)(1))>>
<<Plaintiff conflates two concepts that are separate and distinct in the context of YouTube’s copyright protection software: automated video matches and actual infringements. As explained by YouTube’s copyright management tools representative, software-identified video matches are not necessarily tantamount to copyright infringements. [D.E. 137-7, 74:21–25]. Rather, the software detects code, audio, or visual cues that may match those of a copyrighted work, and presents those matches to the owner for inspection. Thus, while YouTube systems may be well equipped to detect video matches, the software does not necessarily have the capacity to detect copyright infringements. See id. Further, the accuracy of these automatically identified matches depends on a wide range of factors and variable. [Id. at 75:1–10, 108:2–110:17, 113:3–114:25]. That is why users, not YouTube, are required to make all determinations as to the infringing nature of software selected matches. [Id.].
Second, Plaintiff does not point to any evidence showing that YouTube, through its employees, ever came into contact, reviewed, or interacted in any way with any of the purportedly identified video matches for which Athos was allegedly required to send subsequent DMCA takedown notices (i.e., the clips-in-suit). As explained by YouTube’s product manager, the processes of uploading, fingerprinting, scanning, and identifying video matches is fully automated, involving minimal to no human interaction in the part of YouTube. [Id. at 68:22–69:18, 118:17–119]. The record shows that upon upload of a video to YouTube, a chain of algorithmic processes is triggered, including the automated scanning and matching of potentially overlapping content. If the software detects potential matches, that list of matches is automatically directed towards the copyright owner, by being displayed inside the user’s YouTube interface. [Id. at 68:22–70:25]. Therefore, the record only reflects that YouTube does not rely on human involvement during this specific phase of the scanning and matching detection process, and Plaintiff does not proffer any evidence showing otherwise>>.
<<As the relevant case law makes clear, evidence of the technologies that ISPs independently employ to enhance copyright enforcement within their system cannot form the basis for ascribing disqualifying knowledge of unreported infringing items to the ISP. Such a conception of knowledge would contradict the plain mandate of § 512(m), “would eviscerate the required specificity of notice[,] . . . and would put the provider to the factual search forbidden by § 512(m).” Viacom, 718 F. Supp. 2d at 528. Thus, we find that Athos’ theory that specific knowledge of non-noticed infringing clips can be ascribed to Defendants by virtue of YouTube’s copyright management tools fails as a matter of law>>.
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