AI News, Fake news website artificial intelligence
Meet the 66 finalists in the AI and the News Open Challenge
When we launched the AI and the News Open Challenge in September, we received more than 500 applications - with half coming from outside the United States.
Today, we're excited to share the 66 finalists who are vying for a share of the $750,000 to address specific problems at the intersection of AI and the news.
academic institutions, policy centers, major national and local news enterprises, new digital media companies and start-ups.
Data Computational Journalism
The ability to convert structured data into a captivating story, indistinguishable from human-authored content, has large implications on the genesis and dynamics of audience segmentation. This project argues that audience fragmentation—accelerated by artificial intelligence—will be qualitatively different from that driven by either the multiplication of channels or on-demand personalized news consumption.
Unlike typical audience segmentation that is ad hoc and crude, the social scientific approach seeks to identify predictable groups based on the empirical observations that appear to be similar across a number of variables and subsequently develop an understanding of the underlying structure in terms of characteristics.
The bots we’re looking for: experimenting with conversational journalism
Bat-winged humanoids, blue-skinned goats, bipedal tailless beavers, a temple made of sapphire — these were some of the sights witnessed by Sir John Herschel, a well known British astronomer, when he pointed his telescope skywards from an observatory in South Africa.
Ariel Conn, Director of Media and Outreach at the Future of Life Institute, elaborates: “When AI researchers who have created programs where they can modify videos that it looks like someone said something that they didn’t say, it makes us think about the ethical implications of this technology.” Take this video of former US President, Barack Obama, for instance.
The algorithmic machine learning technology that has been used to create these videos is called deepfakes, and it allows anyone to create a highly realistic simulation of pretty much any human being (as long as you have video and audio recordings).
But the real problem with deepfakes is when people stop using this technology to add Nicolas Cage to random movies and start producing videos of political leaders saying things they never did, as we’ve seen above.
So, in order to apply this to our fight against disinformation, we would need to develop technology that analyzes data to correctly determine whether a piece of content is true or false.
However, according to the experts, including Facebook’s European Director of AI Research, Antoine Bordes, that’s easier said than done: “If it’s about recognizing something odd in an image, that’s something a machine can do, but if it’s about interpreting whether a text is true or false, that’s much, much, more deep.
Because machines lack basic human skills like “understanding, common sense, and being able to put things in context.” Nonetheless, this doesn’t mean researchers aren’t working tirelessly to solve this issue.
In the MIT Technology Review, Preslav Nakov, a senior scientist at Qatar Computing Research Institute and one of the researchers on a new study about media outlets’ trustworthiness, writes that, in spite of all the skepticism, he’s optimistic about the use of machines to spot fake news.
Nonetheless, it’s important to highlight the fact that we’re also talking about journalism, an incredibly human-centered activity that follows rigorous sets of rules to get to the truth.
Well, a machine couldn’t possibly get its algorithms around it, but it could help make it more efficient and send that information out to a greater number of people, according to Aaron Sharockman: “People will have to be always involved in fact checking, helping people understand what’s true or not.
So what I’m looking forward to is how can computers take my fact checker, one of our 11 fact checkers, and have the ability to double the amount of fact checks they write?” Sharockman explains further: “How can computers cut down on the time it takes to write a fact check from six hours to three hours?
As the line between simulation and reality continues to blur, we need to know exactly where we stand on this technology and whether it’s going to dictate the truth or detect it.
We might not be stoking fears of an alien invasion—I mean, I have a good idea of who would be the first to tweet about it—but we’re spreading lies that could have a serious impact on our lives, our democracy, and our future.
Evaluating Information: Fake news, fake tech
While technology’s role in the peddling of fake news is widely publicised and documented, there is also an emergence of fake technology and ‘fake tech’
Magic Leap Virtual Reality Magic Leap, a startup company based in South Florida has promisedbreakthrough augmented reality (AR) technology and the way people experience reality.
of their work - the allegedly revolutionary augmented reality technology was still regarded years away from completion.
Want to Purge Fake News? Try Crowdsourcing
Misinformation is rife on Facebook and other social networks: Russia attempted to interfere in the U.S. midterm elections, the Saudis employ hundreds of trolls to attack critics, fake activists in Bangladesh have been promoting nonexistent U.S. women's marches to sell merchandise, there was a huge disinformation campaign during last month’s general election in Brazil, and fake news has triggered episodes of violence in countries including India, Myanmar and Germany.
In this case, Facebook should add buttons that appear prominently below any purported news stories posted on its site, asking members of the public to weigh in on whether an article is true or false.
A huge crowdsourcing project would work differently, because Facebook would actively call on its community to help with the gargantuan effort and make it a more central part of its push to identify posts and accounts that should be taken down.
The reporting feature would also need to be made more prominent on the platform (currently you have to search through a dropdown to find a way to flag information, so many people may not even be aware that the option exists) and users would be asked to mark whether stories are true or false, which would give Facebook much more data than merely offering the option of flagging false reports.
Two years after it became clear that fake news improperly influenced the 2016 U.S. presidential election, Facebook and other social networks are still being excoriated for not effectively combating the problem.
- On 15. april 2021
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