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DTSTAMP:20260910T041701Z
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DTSTART;TZID=Asia/Colombo:20260917T140000
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DESCRIPTION:Artificial Intelligence is no longer a peripheral tool in scien
 tific research it is becoming embedded in how data is analyzed\, decisions
  are made\, and discoveries are validated. As its influence grows\, so doe
 s the risk that accountability\, fairness\, and ethical use are treated as
  an afterthought rather than a design principle. Left unexamined\, these g
 aps can erode research integrity\, introduce bias into scientific outcomes
 \, and weaken public trust in the institutions that use AI. This topic mat
 ters because the choices made today about how AI is governed in scientific
  settings will shape whether its benefits are realized responsibly or at t
 he expense of fairness and accountability. This webinar equips undergradua
 tes\, postgraduates\, professionals\, and researchers with a critical unde
 rstanding of where scientific advancement and ethical responsibility inter
 sect knowledge that is increasingly essential as AI adoption accelerates a
 cross every field of scientific inquiry.\n\nCo-sponsored by: National Scie
 nce Foundation\n\nSpeaker(s): Prof Saman Halgamuge\, \n\nRoom: Boardroom\,
  Bldg: Faculty of Graduate Studies\, University of Moratuwa\, Moratuwa\, S
 ri Lanka\, Sri Lanka\, Virtual: https://events.vtools.ieee.org/m/576834
LOCATION:Room: Boardroom\, Bldg: Faculty of Graduate Studies\, University o
 f Moratuwa\, Moratuwa\, Sri Lanka\, Sri Lanka\, Virtual: https://events.vt
 ools.ieee.org/m/576834
ORGANIZER:supunmali@uom.lk
SEQUENCE:111
SUMMARY:AI Social Responsibility Perspectives & Its Use in Sciences - Where
  Scientific Advancement Meets Ethical Responsibility
URL;VALUE=URI:https://events.vtools.ieee.org/m/576834
X-ALT-DESC:Description: <br /><p>Artificial Intelligence is no longer a per
 ipheral tool in scientific research it is becoming embedded in how data is
  analyzed\, decisions are made\, and discoveries are validated. As its inf
 luence grows\, so does the risk that accountability\, fairness\, and ethic
 al use are treated as an afterthought rather than a design principle. Left
  unexamined\, these gaps can erode research integrity\, introduce bias int
 o scientific outcomes\, and weaken public trust in the institutions that u
 se AI. This topic matters because the choices made today about how AI is g
 overned in scientific settings will shape whether its benefits are realize
 d responsibly or at the expense of fairness and accountability. This webin
 ar equips undergraduates\, postgraduates\, professionals\, and researchers
  with a critical understanding of where scientific advancement and ethical
  responsibility intersect knowledge that is increasingly essential as AI a
 doption accelerates across every field of scientific inquiry.</p>
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