Helen Hastie

So it's tackled in a different way, but back then we had to divide into each component, and each component had their own challenges.

We didn't have the data back then.

We were using language models, but they weren't large.

At Lockheed Martin, it was all about applications and putting these systems where they would be used and adopted.

So one of these was on a ship and it was using the intercom and it was sensorised.

So you could call up Susie on the intercom and it would tell you, for example, the starboard engine temperature.

So the important thing here was the equipment was in situ and it may be of use.

So in critical situations, we put in certain guardrails.

It's important that we test them properly.

But the technology is advancing so rapidly that we really have to think about this now.

And we have to think about it from inception of design of the AI or design of the robot so that everything we do, we embed responsible research and we think about what it's going to do when it's actually deployed.

So Parlance was a project with the University of Cambridge, Geneva, Yahoo.

And what we were looking at was a voice search application.

So you would talk to an intelligent agent, a bit like you might do with a well-informed colleague.

And you would have a discussion and get the information through conversation rather than just typing it into the search box.

Right, right, right.

And my particular area was looking at what the computer should say and how it should say it.

It was a system for giving restaurant recommendations.

So we wanted to inform the user but not overload them with too much information.

So this is more along the lines of agentic AI that people are talking about now.