AI Social Responsibility Perspectives & Its Use in Sciences - Where Scientific Advancement Meets Ethical Responsibility

#AI #Social #Responsibility #adoption
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Artificial Intelligence is no longer a peripheral tool in scientific research it is becoming embedded in how data is analyzed, decisions are made, and discoveries are validated. As its influence grows, so does the risk that accountability, fairness, and ethical use are treated as an afterthought rather than a design principle. Left unexamined, these gaps can erode research integrity, introduce bias into scientific outcomes, and weaken public trust in the institutions that use AI. This topic matters because the choices made today about how AI is governed in scientific settings will shape whether its benefits are realized responsibly or at the expense of fairness and accountability. This webinar 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 adoption accelerates across every field of scientific inquiry.


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  • University of Moratuwa
  • Moratuwa, Sri Lanka
  • Sri Lanka
  • Building: Faculty of Graduate Studies
  • Room Number: Boardroom
  • Contact Event Host

  •  

    Ms Thilinakumari Kandanamulla

    Senior Scientific Officer, NSF

    Tel: 0112696771 Ext 156

    E mail: thilina@nsf.gov.lk

     

  • Co-sponsored by National Science Foundation
  • Starts 11 September 2026 04:30 AM UTC
  • Ends 17 September 2026 07:00 AM UTC
  • No Admission Charge

  Speakers

Prof Saman Halgamuge of Department of Mechanical Engineering, School of Electrical, Mechanical and Infrastructure Engineering, University of Melbourne, Australia

Topic:

AI: Social Responsibility Perspectives & Its Use in Sciences

As artificial intelligence becomes embedded in scientific research, questions of accountability, fairness, and ethical use can no longer be an afterthought. This talk examines the social responsibility dimensions of AI exploring how researchers can harness its power while safeguarding integrity and public trust.

Biography:

Prof Saman Halgamuge, Fellow of IEEE, IET, AAIA and NASSL is a Professor at The University of Melbourne. Previously, he was a member of the Australian Research Council grant assessment panel and the Head of Engineering School at Australian National University. He also served as Associate Dean for the Faculty of Engineering at the University of Melbourne.

He obtained the Dipl.-Ing and Ph.D. degrees in data engineering from the Technical University of Darmstadt, Germany. He is listed as a top 2% most cited researcher for AI and Image Processing in the Stanford database. He is a distinguished visitor appointed by the IEEE Computer Society (2025-27) and was a distinguished Lecturer of IEEE Computational Intelligence Society (2018-21).

His research is funded by Australian Research Council, National Health and Medical Research Council, US DoD Biomedical Research program and international industry (e.g. Bosch Germany, Google US).

He graduated over 50 PhD students in Australia. https://scholar.google.com.au/citations?hl=en&user=9cafqywAAAAJ&pagesize=80&view_op=list_works&sortby=pubdate

Address:Australia