Artificial Intelligence Series – Part 1: Defining AI

In episode 1 of a 3-part series on artificial intelligence, David is joined by multiple guests to define what Artificial Intelligence is, and the implications it poses on our future.

David and guests discuss how models like ChatGPT operate, and how unlike traditional AI systems that are designed for specific tasks, ChatGPT represents a shift towards Artificial Generative Intelligence (AGI), capable of analysing massive datasets and generating new content. This marks a significant advancement from Artificial Narrow Intelligence (ANI), which is limited to singular, defined tasks.

Part 1 discusses how these language models, by analysing extensive text data, can mimic human-like text generation without actual consciousness or understanding. They operate by mathematical representations of language, which raises questions about the nature of intelligence and human uniqueness in language abilities.

The episode also touches on societal and economic impacts, such as potential job displacement paralleling historical shifts brought about by technologies like the steam engine and the internet. However, also suggests that AI could lead to new kinds of jobs, highlighting the dual nature of technological progress.

Guests include:

• Mike Pridis – Founder & CEO of Faethm AI, also sits on the Global AI Council at the World Economic Forum
• Satya Nitta – Former Global Head of AI solutions for Learning at IBM Research (IBM Watson), Co-Founder and CEO of Emergence.ai and Merlyn Mind
• Peter Barrett – Board Member of multiple AI solution businesses, Angel Investor, ex-CTO of Microsoft TV
• Zeb Rice – Board of Immutable, Co-Founder of King River Capital, VC Investor
• Dr Michael Kollo – CEO of Evolved.AI, helping organisations through their generative AI journey.
• Daniel Darling – Managing Partner of Focal (US-based VC firm investing in software startups)