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DTSTART;TZID=America/Denver:20260218T180000
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DESCRIPTION:Agentic AI: Shaping the Future of Responsible and Generative In
 telligence\n\nAbstract: Artificial Intelligence is entering a new phase de
 fined by systems that can learn\, adapt\, and collaborate with minimal hum
 an input. Agentic AI combines autonomy\, generative models\, and ethical d
 esign to build intelligent systems that act responsibly while learning fro
 m their environment. This transformation introduces greater transparency\,
  reliability\, and trust into automation. Going beyond conventional AI\, A
 gentic systems reason across complex contexts and make explainable\, human
 -aligned decisions. They merge Large Language Models (LLMs)\, federated le
 arning\, and explainable AI to deliver secure\, privacy-preserving intelli
 gence across healthcare\, insurance\, and enterprise domains. This talk ex
 plores practical applications\, ethical challenges\, and IEEE’s role in 
 advancing trustworthy autonomy for the future. By fostering responsible an
 d generative intelligence\, Agentic AI paves the way for a more transparen
 t\, adaptive\, and human-centric technological ecosystem.\n\nSpeaker(s): S
 antosh Kumar\, \n\nVirtual: https://events.vtools.ieee.org/m/536474
LOCATION:Virtual: https://events.vtools.ieee.org/m/536474
ORGANIZER:gowansj@ieee.org
SEQUENCE:15
SUMMARY:CIR & CIS: Agentic AI: Shaping the Future of Responsible and Genera
 tive Intelligence
URL;VALUE=URI:https://events.vtools.ieee.org/m/536474
X-ALT-DESC:Description: <br /><div class="presentation-title"><strong>Agent
 ic AI: Shaping the Future of Responsible and Generative Intelligence</stro
 ng></div>\n<div class="abstract">&nbsp\;</div>\n<div class="abstract"><str
 ong>Abstract:</strong> Artificial Intelligence is entering a new phase def
 ined by systems that can learn\, adapt\, and collaborate with minimal huma
 n input. Agentic AI combines autonomy\, generative models\, and ethical de
 sign to build intelligent systems that act responsibly while learning from
  their environment. This transformation introduces greater transparency\, 
 reliability\, and trust into automation. Going beyond conventional AI\, Ag
 entic systems reason across complex contexts and make explainable\, human-
 aligned decisions. They merge Large Language Models (LLMs)\, federated lea
 rning\, and explainable AI to deliver secure\, privacy-preserving intellig
 ence across healthcare\, insurance\, and enterprise domains. This talk exp
 lores practical applications\, ethical challenges\, and IEEE&rsquo\;s role
  in advancing trustworthy autonomy for the future. By fostering responsibl
 e and generative intelligence\, Agentic AI paves the way for a more transp
 arent\, adaptive\, and human-centric technological ecosystem.</div>
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