![]() ![]() However, can it properly identify it as the Ever Given that had run aground in the Suez Canal? To add another layer of complexity on top of that, why is Austin Powers in the background making a 27-point turn? Does it know that the Austin Powers movie series is supposed to be funny? “It may not be an easy task for AI to comprehend internet memes given the plethora and variety of memes found on the internet, along with the different patterns each of the memes can generate,” Priyadarshini says in her dissertation, which was published in the journal Computers, Materials, and Continua. That’s before we even bring in the context of the meme itself.Īn AI might be able to recognize that there’s a container ship in the video. The billions of permutations you’ll find in both text and facial expressions make it difficult for AI to crack the code. That being said, we can measure AI’s ability to extract emotions from text and facial expressions-and it’s already pretty awful at picking up emotions from snippets of text. We currently have no idea if AI has the ability to be sentient, meaning it would be able to think for itself and make its own decisions even if we did know, it’s unclear how we’d measure just how sentient an AI is. Memes Are Much More Complex Than We Think You could argue that most memes are just variations on the same template, but the same meme could still be interpreted wildly differently depending on the content that’s been injected. “There’s no template that memes follow, which is why extracting the text from them is really challenging,” says Priyadarshini. Sure, Optical Character Recognition (an advanced system, able to recognize text in images) can already be used to accurately read license plates, but the system already has a very good idea of where to look-decoding the text from memes is a completely different story. We already have AIs that are able to recognize text and facial expressions, but there are really no rules with memes. “For a machine, memes are merely a bunch of text and images,” she explains. Priyadarshini says that our understanding of memes relies heavily on our own life experiences. AI’s inability to comprehend memes is multifaceted, but much of it has to do with the fact that they tend to be ambiguous. Priyadarshini wanted to find out why AI was so poor at decoding memes, along with how the humorous posts could be used as a cybersecurity tool in the future. These surprisingly complex amalgamations of text and images often pick apart the more humorous bits of pop culture and current events-and are usually posted across multiple social media platforms. Her goal was to find a security measure that could defeat AI before it gets to this point. Play icon The triangle icon that indicates to play “They would be able to gain every piece of information that is out there in the cyberspace … it could lead to catastrophic results in the future,” says Priyadarshini. This confirmed her worst fear: if AI were to achieve sentience and go rogue, it could spell disaster for your online data and privacy. Superintelligent Machinesīefore pursuing artificial intelligence, Priyadarshini’s background was in cybersecurity, and she observed that over 50 percent of the internet is made up of bots-some of these bots are good, while others have malicious intent. ![]() “Internet memes serve as excellent checkpoints to ensure humans have the upper hand over machines, thereby preventing machines from understanding memes and surpassing human intelligence,” she says. in electrical and computer engineering at Delaware University in 2021, Ishaani Priyadarshini wrote her dissertation on the topic of AI’s inability to decipher memes, and how that could help us in the battle toward singularity. “Internet memes serve as excellent checkpoints to ensure humans have the upper hand over machines.” ![]()
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