What’s the Future for AI and Content Generation?

what does ai mean for content generation?

I’m not very good with source material. I read something and think ‘oooh – that’s interesting, and no mistake’ and it’s only later, when I want to reference it, that I realise I’ve not a scooby where it came from. Example. Recently, I read something on Twitter which, as far as I could see, was about the use of AI in PR. If journalists think that they’re being spammed by PR practitioners now, just wait until Robocommunicator gets here. It struck a chord – and then came the dawning realisation that I had no idea what it was referencing and even a quick root around in Google didn’t throw anything up. But, actually, that’s not a problem. Because I am absolutely certain that AI is being used in communication in one form or another. Whether or not we’ve got to artificially compiled media releases, I don’t know, but I’d bet a million squiddlies against a bent sixpence that we have, or that we’re about to. And my certainty stems from the fact even I have considered whether it’s possible to create an algorithm that could produce – once fed a certain number of facts, premises and parameters – a half-decent media release.

When all’s said and done, there are – as we all know – things that a media release needs to contain to be functional and things that need to be added to make it ‘news’. Just in case anyone’s forgotten what they are:

A media release

Needs to be based around the who, what, why, where and the when. And – sometimes – how. It should be three paragraphs long and needs a quotation in the second paragraph.

A news story

Contains one or more (preferably more) of a list of things – money, technology, human interest, controversy, celebrity, sex or ‘futurology’ – linked to, or part of, the subject matter.

The truth

As I’m briefing an AI, here, I’ll also state the incredibly obvious – it has to be true and backed with evidence.

So – is this the end of the communicator as we know her, him or they? I’d say no – in the medium term – for two reasons.

First, no-one’s been successful (or at least not that we know of) in creating a ‘true’ AI – one that is conscious, one that can think for itself, has its own personality and makes its own decisions.

Second (and see above) writing a media release isn’t rocket science – you’d spend as much time feeding the information into the algorithm as you would simply writing it yourself.

That being said, of course, if you don’t trust your writing skills, and it normally takes five attempts to get approval, then an AI with machine learning capability would probably be more consistent out of the box. And would soon learn to create content in a client’s preferred style.

Maybe you’re right to be concerned.

(This blog was created by 4TC’s new communication composition algorithm, Scribl.)*

*No. No, it wasn’t.

what does ai mean for content generation?

When all’s said and done, there are – as we all know – things that a media release needs to contain to be functional and things that need to be added to make it ‘news’. Just in case anyone’s forgotten what they are:

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