FuturePub London — The AI Edition

A very quick overview of what fact checkers around the world are doing with AI, some thoughts on where it gets really hard and maybe even a live demo of tools we have built.

Large Language Models are known to hallucinate facts. While there is an active debate on whether this is a bug or a feature, the fact remains that we don't understand AI to the level where we can get LLMs to trace back to their motivation for making a specific pronouncement. Thus, LLM providers who work in the science space are faced with a challenge - they want to leverage the new capabilities of LLMs but need somehow to create references back to the original work, but in forcing an LLM to work in a way that creates referencability, one destroys its ability to create a synthesis from multiple sources, creating a fundamental playoff between specificity and synthesis.

We will introduce ourselves and share how we're harnessing AI driven voice technology to support individuals who have significant barriers and are furthest from the labour market. We'll dive into our recent initiatives, highlighting our collaborative efforts with refugees and asylum seekers to co-design the product to support Arabic and other languages.

There has been a big explosion on A.I. applications, but it still feels that the current Deep Learning approach seems to solve the Perception problem while lacking the fundamental hierarchical representation of Cognition. Healthcare, Space Navigation and Conscious-like Agency are just some of the examples were cognition becomes more and more important, connection simulated representation of probable states of an environment while identifying the closest features of the specific connection.

At BMJ we have created an LLM governance group that works on reviewing use cases, and aims to support LLM use in a responsible, fair, and safe manner. Are we doing it right? What are others doing? How can we all make use of these tools to our collective benefit, and what can we share about the changes we are seeing? While our use of the tools is nascent, we are seeing real value. This session will explore these questions and invite a discussion on the topic.

I'll talk about my sense of how power is changing in AI - across the tech itself, society, geopolitics, governance and humanity itself. I'll base it on my recent series for Intelligence Squared, Power Trip .