Mozilla appears to be working to raise awareness about how AI is helping spread misinformation on the Internet. In a recent blog post, Mozilla has announced the list of eight advocacy projects it selected as winners. These projects highlight how AI impacts the understanding of the truth online.

"The artificial intelligence (AI) powering the internet is complicit. Platforms like YouTube and Facebook recommend and amplify content that will keep us clicking, even if it’s radical or flat out wrong," Mozilla said in its statement.

Some of the award-winning advocacy projects are as follows

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Truth-or-Dare Turing Test

As the name suggests, it's a simple game where AI mimics real humans (errr...dishonest AI) At the end of the test, one is supposed to guess whether they were playing the game with AI or a real human being. If this sounds interesting to you, that's probably because differentiating between AI and human beings is supposed to be very difficult.

Swap the Curators in the Tube

This project will demonstrate how YouTube recommendation algorithm works for a different set of users. It will include five different profiles of users. In the end, you will experience how YouTube's recommendations are different for different people.

An Interview with ALEX

This is a job interview simulation with an AI. Throughout the interview, you can figure out this AI manager (errr...HR manager) is covering up the truth of this job and making assumptions and decisions about you using speech and facial recognition techniques. Doesn't it sound scary?
 
More projects include The Future of Memory, Choose Your Own Fake News, Deep Reckonings, In Event of Moon Disaster and Most FACE Ever. These advocacy projects will be available for public access next year and awarded Mozilla Creative Media Awards amounting $200,000.

Mozilla launches a campaign against YouTube's recommendation algorithm

Mozilla recently launched a new campaign called #YouTubeRegret. As part of it, Mozilla wants you to submit your story about how you might have ended up watching a wrongly recommended video on YouTube.