Whereas I get that AI content material goes to turn out to be increasingly widespread over time, and that attempting to battle that flood will very a lot be like attempting to battle a literal flood – completely ineffective – I nonetheless assume this use case, particularly, is a nasty thought.
As we reported not too long ago, amongst its numerous generative AI experiments, LinkedIn has been growing a brand new choice that may allow you to generate AI posts, which app researcher Nima Owji discovered within the back-end code of the app.
As you’ll be able to see on this instance, LinkedIn’s AI replace assistant, on this early iteration, would immediate you to ‘share your concepts’ within the composer. It could then present strategies for a ‘first draft’ of a put up.
Properly, LinkedIn’s now actually shipped this, with some customers now in a position to entry its new AI put up technology device within the app.
As defined by LinkedIn’s Director of Product Keren Baruch:
“With regards to posting on LinkedIn, we’ve heard that you just typically know what you need to say, however going from a terrific thought to a full fledged put up might be difficult and time consuming. So, we’re beginning to check a method for members to make use of generative AI straight throughout the LinkedIn share field. To start out, you’ll have to share a minimum of 30 phrases outlining what you need to say – that is your individual ideas and perspective and the core of any put up. Then you’ll be able to leverage generative AI to create a primary draft. This offers you a stable basis to overview, edit and make your individual, all earlier than you click on put up.”
Ah, so it’s not designed for use as a device to, like, pretend that what you’re speaking about, solely that will help you faux that you just’re in a position to articulate your ideas in a coherent method.
Is smart, particularly for a platform on which persons are attempting to show their skilled abilities and competencies – why not make it simpler for them to simply churn out opinions and views that don’t mirror their very own data or understanding?
That is my key concern with LinkedIn’s generative AI put up prompts, that it’s going to allow folks to create a misrepresentation of who they’re, and what they know, by making it extremely straightforward to simply pretend it, put up, and transfer. And with recruiters typically assessing folks’s LinkedIn presence inside their candidate analysis, that’s, probably, going to be a giant drawback, which might result in disastrous interviews, misguided connections, and even unhealthy hires consequently.
After all, there’s much more to finding and hiring expertise than simply assessing their LinkedIn presence, and as Baruch notes, you do need to put down, like, 30 phrases first, so it’s not all AI generated, both method.
However the precedent right here is just not good – LinkedIn’s mainly telling folks to make use of AI generated posts, which takes the ‘social’ factor out of ‘social media’ (as you’re not interacting with a human), whereas additionally inviting fakers and scammers to simply faucet on by way of, and faux they’re somebody that they’re not.
Like, certainly there’s already sufficient ‘hustle tradition’ fakers within the app, proper?
In amongst LinkedIn’s numerous new generative AI parts, together with AI-generated profile summaries, AI-assisted job descriptions, generative AI messages for job candidates, and an AI InMail assistant, this one is the worst.
It’s one factor to concede that increasingly machine-generated content material goes to be coming throughout our screens, but it surely’s one other to encourage it – and once more, LinkedIn must be the place persons are presenting their skilled insights and data.
This, in my opinion, might considerably devalue this factor.
However it’s right here, and it’s being examined with a small group of customers, earlier than a wider roll-out. Recruiters – good luck.
