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ConV2X Virtual Keynote | Trustworthy Computing

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Manage episode 518697841 series 3472284
Content provided by Tory Cenaj. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tory Cenaj or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
  • Jerry Cuomo Retired IBM Fellow and Distinguished Research Professor, North Carolina State University, USA

This talk introduces Trustworthy Computing as a shift toward systems built on verifiable, transparent, and privacy-respecting foundations. Using blockchain and AI, it explores real-world impacts—from food safety and identity protection to AI transparency and machine unlearning—emphasizing the transition from reputational trust to algorithmic trust in everyday digital life.

Health care and Life Sciences professionals will find particular relevance in applications that enhance drug authenticity, patient data privacy, and AI reliability in decision making.

This 45 minute keynote presents new information and research in development in the theme areas below:

Enhanced Security Frameworks

  • Advanced approaches to drug authenticity verification
  • Next generation patient data privacy protection
  • Cybersecurity strategies for healthcare systems
  continue reading

279 episodes

Artwork
iconShare
 
Manage episode 518697841 series 3472284
Content provided by Tory Cenaj. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tory Cenaj or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
  • Jerry Cuomo Retired IBM Fellow and Distinguished Research Professor, North Carolina State University, USA

This talk introduces Trustworthy Computing as a shift toward systems built on verifiable, transparent, and privacy-respecting foundations. Using blockchain and AI, it explores real-world impacts—from food safety and identity protection to AI transparency and machine unlearning—emphasizing the transition from reputational trust to algorithmic trust in everyday digital life.

Health care and Life Sciences professionals will find particular relevance in applications that enhance drug authenticity, patient data privacy, and AI reliability in decision making.

This 45 minute keynote presents new information and research in development in the theme areas below:

Enhanced Security Frameworks

  • Advanced approaches to drug authenticity verification
  • Next generation patient data privacy protection
  • Cybersecurity strategies for healthcare systems
  continue reading

279 episodes

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