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IEEE Autonomous Systems Initiative (ASI)

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Trustworthy AI

IEEE ASI Webinar: Perspectives and Opportunities in Trustworthy AI (Dr. P.Lewis)

IEEE ASI Webinar: Perspectives and Opportunities in Trustworthy AI (Dr. P.Lewis)

Dr. Peter LewisOntario Tech University, Canada Email: Peter.Lewis@ontariotechu.ca Website: https://ontariotechu.ca/experts/fbit/peter-lewis.php Register NOW for the webinar: CLICK ME Abstract The trustworthiness (or otherwise) of Artificial Intelligence has been much in discussion of late. Perspectives range from how we might make people

admin February 13, 2023February 13, 2023 ASI Forum, Education, News Read more

Recent Posts

  • IEEE ASI Webinar: Socio-Physically Interactive Mobile Collaborative Robots (Dr. P.Ajoudani)
  • IEEE ASI Webinar: Perspectives and Opportunities in Trustworthy AI (Dr. P.Lewis)
  • IEEE ASI Webinar: TinyDSF: Bootstrapping Skills for Milirobots from First Principles (Prof. A.Jantsch)
  • IEEE ASI Webinar: Multi-modal sensing for physical human-robot interaction (Prof. A.Cavallaro)
  • IEEE ASI Webinar: Active Inference (Prof. K.Friston)
  • IEEE ASI Webinar: Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms (Prof. N.Dutt)
  • Self-Improving System Integration: Mastering Continuous Change
  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023)
  • International Conference on Autonomous Agents and Multiagent Systems
  • IEEE International Conference on Autonomic Computing and Self-Organizing Systems

Contact Us

 ASI Chair:
Carlo Regazzoni
Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni (DITEN)
Università di Genova
Via All’Opera Pia 11
I- 16145 Genova , Italy

Tel +390103532792
Email: carlo.regazzoni@unige.it

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Welcome to the IEEE Autonomous Systems Initiative (ASI) website. Learn, connect with and stay abreast of ASI activities. ASI is an initiative of the Signal Processing Society.

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Over the last decade, researchers have been proposing and investigating computing systems with advanced levels of autonomy in order to manage the ever-increasing requirements in complexity. An autonomous system is an artificial system able to perform a certain number of tasks

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