Podcast: Play in new window | Download (Duration: 33:42 — 31.2MB)
Subscribe: Apple Podcasts | Spotify | Amazon Music | Youtube Music | More
In this conversation with Nikki Mirghafori, we explore how artificial intelligence intersects with human emotional pain. How can technology help us understand, alleviate, or even exacerbate our inner struggles? With her unique background in AI and contemplative practices, Nikki offers insights into the role of wisdom, compassion, and awareness in an increasingly digital world. Join us for a dialogue that bridges mind and machine, pain and presence, and that challenges our western thinking by bringing a Buddhist perspective to the discussion.
Meet our Speakers
Pablo A. Ruz Salmones is the Chief Executive Officer at Xeleva Group a Software Development, Artificial Intelligence (AI), and Business Consulting firm. Pablo has spoken on AI and Ethics in Mexico, the US, and other countries, and appears regularly on TV and radio shows in México to discuss the relationship between art, religion, sustainable development, and technology. Pablo studied Business Engineering and Computer Engineering at Instituto Tecnológico Autónomo de México in Mexico City.
Dr. Nikki Mirghafori serves as a Board of Director, Stewarding Teacher at Spirit Rock Meditation Center and a Dharma Teacher at the Insight Meditation Center in Redwood City, CA. The PhD thesis titled, “A Multi-Band Approach to Automatic Speech Recognition” and Masters thesis titled, “On Robustness to Fast Speech in Automatic Speech Recognition”. Mirghafori holds a B.S. in Computer Science from University of Illinois Urbana-Champaign University of Illinois Urbana-Champaign, a M.S. and PhD in Computer Science from University of California, Berkeley.
Views and opinions expressed by podcast guests are their own and do not necessarily reflect the view of AI and Faith or any of its leadership.
Production: Pablo Salmones and Penny Yuen
Host: Pablo Salmones
Guest: Nikki Mirghafori
Editing: Isabelle Braconnot
Music from #UppbeatLicense code: 1ZHLF7FMCNHU39
Listen to more episodes here.
