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In researching AI consultants, I got here throughout a deepfake. It wasn’t apparent at first, given his seemingly legit profile and engagement on social networks. But after seeing the identical creepy AI-generated picture of Dr. Lance B. Eliot all around the net, it was clear that he wasn’t an actual individual. So I adopted him and discovered his grift.

The ever-present Dr. Lance B. Eliot

Eliot has over 11,000 followers on LinkedIn and we now have two connections in frequent. Each have hundreds of LinkedIn followers and many years of expertise in AI with roles spanning investor, analyst, keynote, columnist and CEO. LinkedIn members interact with Eliot despite the fact that all his posts are repetitive thread-jacking that result in his many Forbes articles.

On Forbes, Eliot publishes each one to 3 days with almost similar headlines. After studying a couple of articles, it’s apparent the content material is AI-generated tech jargon. One of many largest points with Eliot’s in depth Forbes portfolio is that the positioning limits readers to 5 free tales a month till they’re directed to buy a $6.99-a-month or $74.99-a-year subscription. This will get sophisticated now that Forbes has formally put itself up for sale with a price ticket within the neighborhood of $800 million. 

Eliot’s content material can also be out there behind a Medium paywall, which prices $5 a month. And a skinny profile of Eliot seems in Cision, Muckrack and the Sam Whitmore Media Survey, paid media companies which are costly and relied upon by a overwhelming majority of PR professionals.


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Then there’s the sale of Eliot’s books on-line. He sells them by means of Amazon, fetching slightly over $4 per title although Walmart presents them for much less. On Thriftbooks, Eliot’s pearls of knowledge promote for round $27, which is a deal in comparison with the $28 price ticket on Porchlight. A protected wager is that e book gross sales are pushed by faux critiques. But a couple of disillusioned people bought the books and gave them low rankings, calling out the content material for being repetitive. 

The harm to large manufacturers and particular person identities

After clicking a hyperlink to Eliot’s Stanford College profile, I used one other browser and landed on the true Stanford web site, the place a search on Eliot produced zero outcomes. A side-by-side comparability reveals the branded shade pink on Eliot’s Stanford web page was not the identical shade because the genuine web page.

An identical expertise occurred on Cornell’s ArXiv website. With only a slight tweak to the Cornell brand, certainly one of Eliot’s tutorial papers was posted, full of typos and extra low-quality AI-generated content material offered in a regular tutorial analysis paper format. The paper cited an intensive checklist of sources, together with Oliver Wendell Holmes, who apparently printed in an 1897 version of the Harvard Legislation Evaluate — three years after he died.

These not occupied with studying Eliot’s content material could make their option to his podcasts, the place a bot spouts meaningless lingo. An excerpt from one listener’s evaluate reads, “In the event you like listening to somebody learn phrase for phrase from a script of paper, this can be a nice podcast for you.”

The URL posted subsequent to Eliot’s podcasts promotes his web site about self-driving vehicles, which initially led to a useless finish. A refresh on the identical hyperlink led to Techbrium, certainly one of Eliot’s faux employer web sites.

It’s wonderful how Eliot is ready to do all of this and nonetheless carve out time to talk at government management summits organized by HMG Technique. The faux occasions characteristic big-name tech corporations listed as companions, with a who’s who of advisors and actual bios of executives from Zoom, Adobe, SAP, ServiceNow and the Boston Crimson Sox, amongst others.

Attendance at HMG occasions is free for senior expertise executives, offered they register. In response to HMG’s phrases and circumstances, “If for some motive you might be unable to attend, and unable to ship a direct report in your stead, a no-show payment of $100 might be charged to cowl prices of meals and repair workers.” 

The price of ignoring deepfakes

A deeper dig into Eliot led to a two-year-old Reddit thread calling him out and rapidly veering into hard-to-follow conspiracy theories. Eliot might not be an anagram or tied to the NSA, however he’s one of many thousands and thousands of deepfakes making a living on-line which are getting tougher to identify.

Wanting on the monetary ripple results of deepfakes raises questions on who’s accountable after they generate income for themselves and their companions. That’s to not point out the price of downloading malware, concentrating on faux prospects and paying for spammy affiliate marketing online hyperlinks.  

Arguably, a eager eye can spot a deepfake from the fuzzy or lacking background, unusual hair, odd-set eyes, and robotic voices that don’t sync with their mouths. But when this had been a common fact, the price of deepfakes wouldn’t be billions in losses as they generate monetary scams and impersonate actual individuals.  

AI has not solved all the problems that make it onerous to identify a deepfake’s lack of authenticity, however is actively fixing them. It’s this kind of outing-the-deepfakes article that helps AI be taught and enhance. This leaves the duty of recognizing deepfakes to people, forcing them to be vigilant about who they let into their networks and lives.   

Kathy Keating is an actual individual and founding father of ProsInComms, a PR consultancy.

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