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X-ORIGINAL-URL:https://icts.wustl.edu/events/
X-WR-CALDESC:Clinical &amp; Translational Sciences - Events
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UID:20261005T1511Z-1791213110.1041-EO-55067-1@10.73.0.167
STATUS:CONFIRMED
DTSTAMP:20261008T151640Z
CREATED:20261005T150531Z
LAST-MODIFIED:20261005T150531Z
DTSTART;TZID=America/Chicago:20261020T120000
DTEND;TZID=America/Chicago:20261020T130000
SUMMARY: Charting a third path: Fair use\, open access\, and university-bui
 lt datasets for academic AI
DESCRIPTION: A month-long series of presentations and educational events hi
 ghlighting trends in open science\, open data and open access\, in recognit
 ion of International Open Access Week. Speaker: Dave Hansen Executive Direc
 tor Authors Alliance Researchers who want to apply AI and text-data-mining 
 methods to large collections face a familiar bind: the materials they need 
 are hard to […]
X-ALT-DESC;FMTTYPE=text/html: <p><img class="size-full wp-image-55065 align
 right" src="https://icts.wustl.edu/app/uploads/2026/10/2026-open-october-fe
 ature-1536x751-1.png" alt="" width="1536" height="751" /></p><p class="lead
 "><em>A month-long series of presentations and educational events highlight
 ing trends in open science\, open data and open access\, in recognition of 
 International Open Access Week.</em></p><p><strong>Speaker: Dave Hansen</st
 rong><br />Executive Director<br />Authors Alliance</p><p>Researchers who w
 ant to apply AI and text-data-mining methods to large collections face a fa
 miliar bind: the materials they need are hard to reach\, and the two paths 
 on offer both carry costs. Commercial AI developers gather text at scale wi
 th little transparency\, while publishers increasingly ask universities to 
 license every 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 settled the po
 int\, and situates that doctrine within the federal open-access and informa
 tion policy now facing legal challenge. It then turns to Transparent Books\
 , a Mellon-funded partnership among HathiTrust\, Northeastern\, and Authors
  Alliance that gives academic researchers a community-governed\, noncommerc
 ial way to build their own datasets for AI work grounded in scholarly value
 s.</p><div class="wp-block-button aligncenter"><a class="wp-block-button__l
 ink wp-element-button" href="https://becker.wustl.edu/open-october/">Event 
 details and registration</a></div>
CATEGORIES:Bernard Becker Medical Library
LOCATION:Online - Zoom
GEO:38.635144;-90.262929
ORGANIZER;CN="McKinzie":MAILTO:tolliver.m@wustl.edu
URL;VALUE=URI:https://icts.wustl.edu/events/event/charting-a-third-path-fai
 r-use-open-access-and-university-built-datasets-for-academic-ai/
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TZID:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
DTSTART:20260308T080000
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