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DTSTART:20261020T120000
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UID:CiviCRM_EventID_960_4648ad046ce9282d92c6599c5429c299@becker.wustl.edu
SUMMARY:Charting a third path: Fair use\, open access\, an
 d university-built datasets for academic AI
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC
  "-//W3C//DTD HTML 3.2//EN"><html><body><div class
 ="container">\n <div class="row" style="width:100%
 \;">\n <div class="col" style="width:33%\;float:le
 ft\;">\n <p><img alt="Orange text reads “open OCTO
 BER” with an open padlock symbol forming the “o.” 
 “2026” appears in black text to the left beneath t
 he padlock." src="https://becker.wustl.edu/wp-cont
 ent/uploads/2026-open-october-feature.png" style="
 width:300px\;" /></p>\n </div>\n \n <div class="co
 l" style="width:66%\;padding:30px 0 0 30px\;">\n <
 p style="color:#f37d21\;font-size:22px\;"><strong>
 Charting a third path: Fair use\, open access\, an
 d university-built datasets for academic AI</stron
 g></p>\n </div>\n </div>\n </div>\n \n <div style=
 "clear:both\;"> </div>\n \n <p>Presented by Bernar
 d Becker Medical Library\, Center for Health & Sci
 ence Communication at Becker Library and WashU Lib
 raries\, in recognition of International Open Acce
 ss Week.</p>\n \n <p>Researchers who want to apply
  AI and text-data-mining methods to large collecti
 ons face a familiar bind: the materials they need 
 are hard to reach\, and the two paths on offer bot
 h carry costs. Commercial AI developers gather tex
 t at scale with little transparency\, while publis
 hers increasingly ask universities to license ever
 y computational use. This talk makes the case for 
 a third path. It revisits why fair use is a built-
 in safeguard for research rather than a loophole\,
  drawing on the mass-digitization decisions that s
 ettled the point\, and situates that doctrine with
 in the federal open-access and information policy 
 now facing legal challenge. It then turns to Trans
 parent Books\, a Mellon-funded partnership among H
 athiTrust\, Northeastern\, and Authors Alliance th
 at gives academic researchers a community-governed
 \, noncommercial way to build their own datasets f
 or AI work grounded in scholarly values.</p>\n \n 
 <p style="margin-bottom:11px\;"><img alt="Open pad
 lock symbol filled with colorful computer code on 
 a light background\, representing open access or u
 nlocked digital content." src="https://becker.wust
 l.edu/wp-content/uploads/dave-hansen.png" style="m
 argin:0 15px 0 0\;float:left\;width:100px\;" /><st
 rong>Dave Hansen</strong><br />\n Executive Direct
 or<br />\n Authors Alliance</p>\n \n <div style="c
 lear:both\;"> </div>\n \n <p>Dave Hansen is the Ex
 ecutive Director of Authors Alliance. Prior to joi
 ning the Authors Alliance\, Dave was an Associate 
 University Librarian and Lead for Copyright & Info
 rmation Policy at Duke University Libraries\, wher
 e he was responsible for core research and collect
 ions support for faculty and students. Dave has te
 stified before Congress\, the U.S. Copyright Offic
 e\, and the USPTO on copyright\, AI\, open access\
 , and fair use issues affecting academic authors a
 nd universities\, and has experience teaching and 
 advising researchers\, publishers\, and librarians
  on copyright\, fair use\, and authors rights. He 
 received his JD and MSLS from UNC Chapel Hill.</p>
 </body></html>
DESCRIPTION:\n \n \n \n \n \n \n \n \n \n Charting a third pat
 h: Fair use\, open access\, and university-built d
 atasets for academic AI\n \n \n \n \n \n \n \n \n 
 \n  \n \n \n Presented by Bernard Becker Medical L
 ibrary\, Center for Health & Science Communication
  at Becker Library and WashU Libraries\, in recogn
 ition of International Open Access Week.\n \n \n \
 n Researchers who want to apply AI and text-data-m
 ining methods to large collections face a familiar
  bind: the materials they need are hard to reach\,
  and the two paths on offer both carry costs. Comm
 ercial AI developers gather text at scale with lit
 tle transparency\, while publishers increasingly a
 sk universities to license every computational use
 . This talk makes the case for a third path. It re
 visits why fair use is a built-in safeguard for re
 search rather than a loophole\, drawing on the mas
 s-digitization decisions that settled the point\, 
 and situates that doctrine within the federal open
 -access and information policy now facing legal ch
 allenge. It then turns to Transparent Books\, a Me
 llon-funded partnership among HathiTrust\, Northea
 stern\, and Authors Alliance that gives academic r
 esearchers a community-governed\, noncommercial wa
 y to build their own datasets for AI work grounded
  in scholarly values.\n \n \n \n Dave Hansen\n \n 
 Executive Director\n \n Authors Alliance\n \n \n \
 n  \n \n \n Dave Hansen is the Executive Director 
 of Authors Alliance. Prior to joining the Authors 
 Alliance\, Dave was an Associate University Librar
 ian and Lead for Copyright & Information Policy at
  Duke University Libraries\, where he was responsi
 ble for core research and collections support for 
 faculty and students. Dave has testified before Co
 ngress\, the U.S. Copyright Office\, and the USPTO
  on copyright\, AI\, open access\, and fair use is
 sues affecting academic authors and universities\,
  and has experience teaching and advising research
 ers\, publishers\, and librarians on copyright\, f
 air use\, and authors rights. He received his JD a
 nd MSLS from UNC Chapel Hill.\n \n 
CATEGORIES:Presentation/Lecture
CALSCALE:GREGORIAN
DTSTAMP;TZID=America/Chicago:20261020T120000
DTSTART;TZID=America/Chicago:20261020T120000
DTEND;TZID=America/Chicago:20261020T130000
LOCATION:Zoom link will be provided before the session\n 
URL:https://becker.wustl.edu/civicrm/event/info/?reset=1&id=960
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