artificial intelligence online courses</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 online courses
</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 reality will come limping immediately after it,” wrote Jonathan Swift above 200 decades ago.
If that was the situation back again then, in advance of telephones and radio, permit by yourself Twitter and Instagram, envision how much even bigger the issue is now. In fact, it’s so significant that “fake news” has turn out to be a incredibly hot subject matter for those people on equally sides of the political spectrum. Gartner has gone as significantly as predicting that by 2022, we will take in additional lies than truth.
But if engineering has exacerbated the problem, there is hope that it may well also present treatments. In specific, artificial intelligence online courses – in its most handy recent sort, machine learning online courses – can potentially be a potent instrument for sorting real truth from fiction.
Machine learning is presently getting employed by banking companies and fiscal establishments to comb by data of monetary transactions, hunting for notify-tale signals of glitches or fraud, and then making use of that facts to grow to be a lot more effective – efficiently “learning” without the need of human input.
In the same way, algorithms can be educated to keep track of media – throughout both of those social networks and news corporations – searching for inform-tale symptoms that any piece of output may possibly be out of alignment with regardless of what objective truths are identified concerning predicaments or events.
A person exciting software of this technological innovation comes from Belgium-based mostly startup VeriFlix. They have made a system of scanning user-submitted movies – which participate in an progressively considerable part in the output of most media businesses – and trying to decide regardless of whether they in fact are what they purport to be.
Right after successful funding by Google’s Digital Information Initiative, the company’s technology is now getting place to use by a single of that country’s most significant media retailers – Rourlarta, with promising results.
Founder Donald Staar talked to me about how the system experienced developed from its first conception as a peer-to-peer crowdsourcing app for movies. Media organizations would make a request for video footage through the app, and any user in the suitable geolocation could switch on their phone and start off filming.
“When the video clips get sent to the system we add a layer which initially detects the material of each stream – so we can say what we see in the video, together with the geolocation knowledge and time stamp,” Staar tells me.
“And at the time the movies are tagged we can review them to just one another, so that if for case in point, a single request outcomes in 1,000 video clips, we can evaluate the material of just about every movie and if a bulk of the movies demonstrate the identical articles, then it can verify the authenticity of what has been shot.
“If 800 films out of 1,000 show the same issue then the probability that the online video has been faked is very reduced.”
Veriflix takes advantage of the YOLO (You Only Glimpse At the time) serious-time object detection algorithms to classify and label contents of video clips, in advance of passing that info by means of to proprietary algorithms, developed in partnership with KU Leuven College. These algorithms assess the facts, together with timestamp and geolocation information handed by means of the application’s safe interface.
Staar suggests “There are two main pros – the very first is that media companies can now make absolutely sure that video clips they use are authentic and shot in the area wherever they say they are taken, and not modified or doctored.
“The other advantage is that they are capable to bridge the hole between on their own and their viewers – enable their viewers grow to be a aspect of the story, and resource special and confirmed articles quite swiftly. It can be for modest issues, much too – it doesn’t have to just be large, breaking information.”
As is popular with people doing the job in today’s AI house, Staar is keen to stage out that the concept is not to put journalists and human point-checkers out of careers.
“It will not substitute the occupation of the journalist – we will generally require journalists to put everything in standpoint, but to get the raw facts, this will be a terrific tool.”
Of course, as engineering improvements, the equipment that fakers use to endeavor to pull the wool about our eyes are most likely to come to be significantly advanced. It is really previously feasible to make remarkably sensible movies putting terms in the mouths of persons who would, in truth, be really unlikely to say this kind of things. This doctored video clip of Obama getting rather rude about Trump is a good case in point (warning, consists of express language)
More than time it is most likely we will see a continuation of the arms race which has always existed in the engineering sphere – with very good guys racing towards the terrible guys to be the to start with to deploy the hottest and most impressive instruments.
Phony information is unlikely ever to be absolutely eradicated – there will constantly be someone willing to current a skewed edition of the fact to thrust their have agenda. However, it could be the scenario that tools like VeriFlix, or whichever will come upcoming, will raise the barrier about the tech and experience essential to hoodwink us, going some way towards creating the globe a far more truthful location.