In this bonus episode Digital Jerry (DJ) sits down with the iconic chatbot, ChatGPT, to discuss Jerry Cuomo's article "Exploring the risks and alternatives of ChatGPT”. Engaging in a candid dialogue, DJ provides ChatGPT with a unique platform to articulate the inner workings of its system in its own words. The conversation touches upon the significance of user data privacy, the potential intellectual property concerns tied to AI outputs, and the differences between ChatGPT applications and the foundational GPT models. The episode also shines a spotlight on the enterprise-centric Microsoft Azure OpenAI service and gives listeners a glimpse into the capabilities of watsonx. Join in for a firsthand perspective on the multifaceted world of AI in the enterprise.

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

Welcome to a special bonus episode of the Art of A.I. for Business, hosted by our guest and digital colleague, Robo. Today, we dive into the engaging and fascinating world of 'prompt engineering' and the role of 'tokens' in Artificial Intelligence. Tokens are the building blocks that AI models use to understand and generate language. As we chat with an AI, it takes our input, breaks it into tokens and uses them to form responses. However, an AI model's memory has a token limit, and once this limit is reached, the oldest tokens are forgotten. Robo illustrates this through an interactive game and also provides practical tactics for making the most of tokens when engaging with AI models. We discuss strategies for remembering crucial information, managing the context window, and working with APIs. Join us as we explore the art of prompt engineering, a fascinating dance between human skills and AI capabilities. Remember, AI tools don't relieve us of our thinking, they complement it. Until our next episode, goodbye from the Art of A.I. for Business!

Key Takeaways:

• [01:17 - 01:56] Tokens are the building blocks of AI models for language processing
• [01:57 - 03:38] Understanding token limits
• [03:38 - 04:15] Working with APIs

Reference: Cuomo, J. (2023, August 2). My name is Jerry… What’s my name? Medium. https://medium.com/@JerryCuomo/my-name-is-jerry-whats-my-name-7401a8202880