Tags: generative

I’ve mentioned before that I’m not a fan of initialisms and acronyms. They can be exclusionary.

It bothers me doubly when everyone is talking about AI.

First of all, the term is so vague as to be meaningless. Sometimes—though rarely—AI refers to general artificial intelligence. Sometimes AI refers to machine learning. Sometimes AI refers to large language models. Sometimes AI refers to a series of if/else statements. That’s quite a spectrum of meaning.

Secondly, there’s the assumption that everyone understands the abbreviation. I guess that’s generally a safe assumption, but sometimes AI could refer to something other than artificial intelligence.

In countries with plenty of pastoral agriculture, if someone works in AI, it usually means they’re going from farm to farm either extracting or injecting animal semen. AI stands for artificial insemination.

I think that abbreviation might work better for the kind of things currently described as using AI.

We were discussing this hot topic at work recently. Is AI coming for our jobs? The consensus was maybe, but only the parts of our jobs that we’re more than happy to have automated. Like summarising some some findings. Or perhaps as a kind of lorem ipsum generator. Or for just getting the ball rolling with a design direction. As Terence puts it:

Midjourney is great for a first draft. If, like me, you struggle to give shape to your ideas then it is nothing short of magic. It gets you through the first 90% of the hard work. It’s then up to you to refine things.

That’s pretty much the conclusion we came to in our discussion at Clearleft. There’s no way that we’d use this technology to generate outputs for clients, but we certainly might use it to generate inputs. It’s like how we’d do a quick round of sketching to get a bunch of different ideas out into the open. Terence is spot on when he says:

Midjourney lets me quickly be wrong in an interesting direction.

To put it another way, using a large language model could be a way of artificially injecting some seeds of ideas. Artificial insemination.

So now when I hear people talk about using AI to create images or articles, I don’t get frustrated. Instead I think, “Using artificial insemination to create images or articles? Yes, that sounds about right.”

We’re halfway through the third season of the Clearleft podcast already!

Episode three is all about design research. I like the narrative structure of this. It’s a bit like a whodunnit, but it’s more like a whydunnit. The “why” question is “why aren’t companies hiring more researchers?”

The scene of the crime is this year’s UX Fest, where talks by both Teresa Torres and Gregg Bernstein uncovered the shocking lack of researchers. From there, I take up the investigation with Maite Otondo and Stephanie Troeth.

I won’t spoil it but by the end there’s an answer to the mystery.

I learned a lot along the way too. I realised how many axes of research there are. There’s qualitative research (stories, emotion, and context) and then there’s quantitative research (volume and data). But there’s also evualative research (testing a hyphothesis) and generative research (exploring a problem space before creating a solution). By my count that gives four possible combos: qualitative evaluative research, quantitative evaluative research, qualitative generative research, and quantitative generative research. Phew!

Steph was a terrific guest. Only a fraction of our conversation made it into the episode, but we chatted for ages.

And Maite kind of blew my mind too, especially when she was talking about the relationship between research and design and she said:

Research is about the present and design is about the future.

🤯

I’m going to use that quote again in a future episode. In fact, this episode on design research leads directly into the next two episodes. You won’t want to miss them. So if you’re not already subscribed to the Clearleft podcast, you should get on that, whether it’s via the RSS feed, Apple, Google, Spotify, Overcast, or wherever you get your podcasts from.

Have a listen to this episode on design research and if you’re a researcher yourself, remember that unlike most companies we value research at Clearleft and that’s why we’re hiring another researcher right now. Come and work with us!