augmented intelligence certification</a> – in its most useful current form, <a href="https://www.bernardmarr.com/default.asp?contentID=958" target="_blank" rel="nofollow noopener noreferrer" data-ga-track="ExternalLink:https://www.bernardmarr.com/default.asp?contentID=958">machine learning</a> – can potentially be a powerful tool for sorting truth from fiction.</p> ;<p> ; </p> ;<p>Machine learning is already being used by banks and financial institutions to comb through records of financial transactions, looking for tell-tale signs of errors or fraud, and then using that data to become more efficient – effectively “learning” without human input.</p> ;<p>In the same way, algorithms can be trained to monitor media – across both social networks and news organizations – looking for tell-tale signs that any piece of output might be out of alignment with whatever objective truths are known regarding situations or events.</p> ;<div class="vestpocket" vest-pocket=""></div> ;<p>One exciting application of this technology comes from Belgium-based startup VeriFlix. They have developed a method of scanning user-submitted videos – which play an increasingly significant part in the output of most media organizations – and attempting to determine whether they actually are what they purport to be.</p> ;<p>After winning funding through Google’s Digital News Initiative, the company’s technology is now being put to use by one of that country’s largest media outlets – <a href="https://www.roularta.be/" target="_blank" rel="nofollow noopener noreferrer" data-ga-track="ExternalLink:https://www.roularta.be/">Rourlarta</a>, with promising results.</p> ;<p>Founder Donald Staar talked to me about how the platform had evolved from its initial conception as a peer-to-peer crowdsourcing app for videos. Media organizations would make a request for video footage through the app, and any user within the correct geolocation could switch on their phone and start filming.</p> ;<p>"Once the videos get sent to the platform we add a layer which first detects the content of every stream – so we can say what we see in the video, alongside the geolocation data and time stamp," Staar tells me.</p> ;<p>"And once the videos are tagged we can compare them to one another, so that if for example, one request results in 1,000 videos, we can compare the content of every video and if a majority of the videos show the same content, then it can verify the authenticity of what has been shot.</p> ;<p>“If 800 videos out of 1,000 show the same thing then the probability that the video has been faked is very low.”</p> ;<p>Veriflix uses the <a href="https://towardsdatascience.com/yolo-you-only-look-once-real-time-object-detection-explained-492dc9230006" target="_blank" rel="nofollow noopener noreferrer" data-ga-track="ExternalLink:https://towardsdatascience.com/yolo-you-only-look-once-real-time-object-detection-explained-492dc9230006">YOLO</a> (You Only Look Once) real-time object detection algorithms to classify and label contents of videos, before passing that data through to proprietary algorithms, designed in partnership with KU Leuven University. These algorithms analyze the data, alongside timestamp and geolocation information passed through the application’s secure interface.</p> ;<p>Staar says “There are two main advantages – the first is that media companies can now make sure that videos they use are authentic and shot in the location where they say they are taken, and not modified or doctored.</p> ;<p>“The other advantage is that they are able to bridge the gap between themselves and their audience – let their audience become a part of the story, and source exclusive and verified content very quickly. It can be for small things, too – it doesn’t have to just be big, breaking news.”</p> ;<p>As is common with those working in today’s AI space, Staar is keen to point out that the idea isn’t to put journalists and human fact-checkers out of jobs.</p> ;<p>“It will not replace the job of the journalist – we will always need journalists to put everything in perspective, but to get the raw data, this will be a great tool.”</p> ;<p>Of course, as technology advances, the tools that fakers use to attempt to pull the wool over our eyes are likely to become increasingly sophisticated. It’s already possible to make highly realistic videos putting words in the mouths of people who would, in reality, be very unlikely to say such things. This doctored <a href="https://www.youtube.com/watch?v=cQ54GDm1eL0" target="_blank" rel="nofollow noopener noreferrer" data-ga-track="ExternalLink:https://www.youtube.com/watch?v=cQ54GDm1eL0">video of Obama</a> being rather rude about Trump is a great example (warning, contains explicit language)</p> ;<p>Over time it’s likely we will see a continuation of the arms race which has always existed in the technology sphere – with good guys racing against the bad guys to be the first to deploy the latest and most powerful tools.</p> ;<p>Fake news is unlikely ever to be fully eradicated – there will always be someone willing to present a skewed version of the truth to push their own agenda. However, it could be the case that tools like VeriFlix, or whatever comes next, will raise the barrier regarding the tech and expertise needed to hoodwink us, going some way toward making the world a more truthful place.</p>”>
“Falsehood flies, and the real truth will come limping right after it,” wrote Jonathan Swift in excess of 200 many years ago.
If that was the circumstance back then, right before telephones and radio, allow by itself Twitter and Instagram, visualize how considerably more substantial the dilemma is now. In point, it’s so big that “fake news” has turn out to be a incredibly hot subject matter for individuals on both sides of the political spectrum. Gartner has gone as far as predicting that by 2022, we will eat additional lies than real truth.
But if technological know-how has exacerbated the problem, there’s hope that it may possibly also offer you solutions. In specific, augmented intelligence certification – in its most practical latest variety, machine learning – can likely be a highly effective instrument for sorting truth of the matter from fiction.
Machine learning is previously remaining made use of by banks and money institutions to comb via records of money transactions, searching for explain to-tale signals of mistakes or fraud, and then working with that info to become a lot more productive – correctly “learning” devoid of human input.
In the identical way, algorithms can be skilled to keep track of media – across each social networks and news companies – on the lookout for notify-tale indicators that any piece of output may well be out of alignment with whatsoever objective truths are acknowledged relating to circumstances or gatherings.
A single exciting software of this technology will come from Belgium-primarily based startup VeriFlix. They have made a approach of scanning user-submitted movies – which participate in an increasingly significant section in the output of most media businesses – and trying to determine whether they in fact are what they purport to be.
Right after successful funding by way of Google’s Digital News Initiative, the company’s know-how is now remaining place to use by a person of that country’s greatest media stores – Rourlarta, with promising outcomes.
Founder Donald Staar talked to me about how the platform had evolved from its initial conception as a peer-to-peer crowdsourcing app for videos. Media companies would make a request for video clip footage by way of the application, and any user within just the proper geolocation could switch on their cellphone and start filming.
“When the movies get despatched to the system we insert a layer which initial detects the information of every single stream – so we can say what we see in the video, along with the geolocation info and time stamp,” Staar tells me.
“And after the movies are tagged we can assess them to a person a different, so that if for case in point, one request success in 1,000 video clips, we can examine the material of each video and if a the greater part of the films exhibit the exact content material, then it can validate the authenticity of what has been shot.
“If 800 videos out of 1,000 demonstrate the very same thing then the likelihood that the online video has been faked is incredibly small.”
Veriflix takes advantage of the YOLO (You Only Appear When) true-time item detection algorithms to classify and label contents of videos, just before passing that information as a result of to proprietary algorithms, made in partnership with KU Leuven University. These algorithms assess the data, together with timestamp and geolocation information passed as a result of the application’s protected interface.
Staar says “There are two major strengths – the very first is that media organizations can now make sure that videos they use are authentic and shot in the location the place they say they are taken, and not modified or doctored.
“The other gain is that they are equipped to bridge the hole involving themselves and their viewers – allow their viewers become a aspect of the tale, and resource unique and verified information extremely quickly. It can be for compact factors, too – it does not have to just be major, breaking information.”
As is frequent with those operating in today’s AI room, Staar is keen to stage out that the thought is not to put journalists and human reality-checkers out of work.
“It will not swap the work of the journalist – we will usually have to have journalists to set every thing in point of view, but to get the uncooked information, this will be a great tool.”
Of course, as technological know-how developments, the resources that fakers use to endeavor to pull the wool around our eyes are probably to grow to be progressively sophisticated. It is really by now achievable to make very real looking video clips placing words and phrases in the mouths of men and women who would, in reality, be pretty unlikely to say these kinds of issues. This doctored video clip of Obama currently being fairly rude about Trump is a fantastic illustration (warning, contains specific language)
Above time it’s very likely we will see a continuation of the arms race which has usually existed in the technologies sphere – with superior men racing versus the bad men to be the 1st to deploy the most recent and most impressive equipment.
Pretend information is unlikely at any time to be absolutely eradicated – there will usually be another person ready to current a skewed version of the truth to thrust their own agenda. Nevertheless, it could be the situation that tools like VeriFlix, or regardless of what will come following, will raise the barrier regarding the tech and abilities required to hoodwink us, likely some way towards creating the globe a a lot more truthful area.