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Teaching AI to Forget

Teaching AI to Forget

BonusReleased Thursday, 7th September 2023
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Teaching AI to Forget

Teaching AI to Forget

Teaching AI to Forget

Teaching AI to Forget

BonusThursday, 7th September 2023
Good episode? Give it some love!
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In this bonus episode, host Jerry Cuomo explores the intriguing concept of "Training AI to Forget." Joined by 'guest' Dr. Eva Rosenberg, a fictional memory psychologist portrayed using voice synthesis tech, they discuss the intersection of neuroscience, ethics, and computer science in AI. Jerry shares insights from his recent article and introduces "The Neuralyzer," a code experiment that enables AI systems to forget specific terms or data, aligning with governance and ethical considerations like GDPR.


In a surprising twist, Jerry reveals that the role of Dr. Eva Rosenberg was performed by him using technology from Respeecher, an AI startup known for voice synthesis. The episode explores how Respeecher responsibly navigates the ethical landscape of synthetic voices.


This episode serves as a thought-provoking journey into the future of trustworthy AI, examining both the technological and ethical dimensions. Listen now to get inspired and educated about the next frontier in AI governance.


Key Takeaways:

  • [00:31 - 00:47] Intro Dr. Eva Rosenberg
  • [01:17 - 01:28] Forgetting is a feature
  • [02:45 - 03:24] The Neuralyzer
  • [04:03 - 04:17] Ongoing Research
  • [05:11 - 05:42] I'm Eva
  • [05:43 - 06:04] Respeecher
  • [06:24 - 06:34] Simulation
  • [07:03 - 07:19] Ethical use of synthetic voice


References:

Art of AI Article Series - Training AI to Forget: The Next Frontier in Trustworthy AI

Art of AI Github Repo (neuralizer.py) source code


Towards Making Systems Forget with Machine Unlearning

Machine Unlearning

Selective Forgetting in Deep Networks

Adaptive Machine Unlearning


Respeecher - wikipedia

Respeecher - website


* Coverart was created with the assistance of DALL·E 2 by OpenAI.** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez


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