338: From Extraction to Understanding: Martin Goodson, CEO of Evolution AI, on Why AGI Is The Wrong Goal

Dr. Martin Goodson is the founder and CEO of Evolution AI, a company he launched in 2012 to apply deep learning to optical character recognition (OCR). The company has received one of the largest AI R&D grants ever awarded by the UK government, along with investment from First Minute Capital. A former scientific researcher at Oxford University, Martin has led AI research across several organizations and was elected Chair of the Data Science and AI Section of the Royal Statistical Society in 2019.

In this conversation, we discuss:

• Martin Goodson’s journey from researching biological data to founding Evolution AI and pioneering deep learning for document understanding. • Why traditional OCR missed the mark, and how combining visual and linguistic context unlocked a new frontier in document intelligence. • The evolution from data extraction to true financial analysis, and why domain knowledge is essential for reading statements like income reports. • The risks of LLM hallucinations, especially with numerical data, and why accuracy still requires combining techniques across model types. • What Martin believes intelligence really is, and why language alone may be the wrong benchmark for AGI. • Why recreating human intelligence shouldn’t be the goal of AI research, and how we can build systems that support, not mimic, human thinking.

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Martin on LinkedInCheck out the YouTube channel of the London Machine Learning MeetupAI fun fact articleOn How to Ovecome Imposter Syndrome • Past episodes mentioned: On Why doing Taxes is like finding the Best Route on a Map • with Daniel Marcous On Making AI Smarter Without Harming Humans • with Peter Voss