Fwd: [Webinar] Need for Responsibility in AI Systems
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Pournami P.N.
Jul 28, 2025, 5:02:41 AM7/28/25
to fac_csed, phdcsed, Staff CSED, Vidhya Kamakshi
Dear Sir/madam,
Please find attached the details of the technical talk by Dr. Vidhya Kamakshi, Asst. Professor, CSED on "Need for Responsibility in AI Systems" as part of the Distinguished Lecture Series organised by the IEEE Computational Intelligence Society Joint Kerala Chapter, IEEE Kerala Section.
Title of the talk: Need for Responsibility in AI Systems
Speaker: Dr. Vidhya Kamakshi, NIT Calicut, Kerala
Meeting Link : https://meet.google.com/ybc-pgkz-egs
This email is to invite you all to attend the session.
Thanking you
pournami
(Vice Chair, IEEE CIS Joint Society Chapter, IEEE Kerala Section)
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From: IEEE eNotice <eno...@enotice.ieee.org>
Date: Sat, Jul 26, 2025 at 12:47 PM
Subject: [Webinar] Need for Responsibility in AI Systems
To: <pourn...@gmail.com>
From: IEEE eNotice <eno...@enotice.ieee.org>
Date: Sat, Jul 26, 2025 at 12:47 PM
Subject: [Webinar] Need for Responsibility in AI Systems
To: <pourn...@gmail.com>
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Dear Pournami P N,
CIS Joint Society Kerala Chapter invites you to a Distinguished Online Talk
Title of the talk: Need for Responsibility in AI Systems
Speaker: Dr. Vidhya Kamakshi, NIT Calicut, Kerala
Date & Time: 29.07.2025, 7:30 p.m
Venue: Online Mode
Registration: Link
Abstract:
Artificial Intelligence Systems, ever since the advent of Deep Learning, yield state-of-the-art performances in a multitude of applications compared to the traditional shallow learners. However, they pose a novel challenge of opacity due to the internal working mechanism being occluded in the architectural design of a deep learner. This challenge gains its significance to be addressed following the legal framework mandates on the production of the working rationale whenever AI systems are employed in safety-critical applications involving human lives. This need led to the stemming of a research direction termed Explainable AI, often abbreviated as XAI. The talk shall discuss the various advancements in this direction to address the black box nature of the deep learners and highlight potential open problems the research community can explore.
Bio:
Dr. Vidhya Kamakshi has completed her PhD from the Indian Institute of Technology Ropar, Punjab, India. She is an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology Calicut, Kerala, India. Her research interests span the areas of Deep Learning, Computer Vision, Explainable AI, Speech Processing, Reinforcement Learning, Federated Learning, etc. She has published as well as reviewed research papers in reputed International Journals and Conferences. She is actively mentoring 03 PhD scholars, 05 M. Tech, and 06 B. Tech students in their research projects and has already mentored 09 B. Tech and 01 M. Tech students on their dissertations
For the details and registration, please see the flyer attached
Chair, CIS Joint Society Chapter of IEEE Kerala Section
Kerala Section : https://www.ieeekerala.org/
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Pournami P N
Associate Professor
Department of Computer Science & Engineering
National Institute of Technology Calicut
NIT Campus PO, Kerala, Pin 673 601
Ph(O): 0495 2286824
Ph(M): 9995651542
Associate Professor
Department of Computer Science & Engineering
National Institute of Technology Calicut
NIT Campus PO, Kerala, Pin 673 601
Ph(O): 0495 2286824
Ph(M): 9995651542
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