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AI is capable of far more than just digesting data in the blink of an eye or serving as a scapegoat for doomsayers. Given how dangerous the internet can be, artificial intelligence may be able to help make it safer. Is it, however, capable of doing so?
There are a variety of reasons for this, and it all depends on how much hazardous stuff is available on the internet and how AI can deal with it.
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Table of Contents
All About Processing Tons Of Data
According to VentureBeat, the potential of artificial intelligence can make a huge impact in content filtering. Human content censors are already in place for platforms like Facebook, but they can only do so much (and frankly, their jobs can be quite detrimental to their mental health).
There’s no fear of the content moderator going insane with a machine. Consider how much information is available on the internet. According to LiveScience, there is anticipated to be 1 million exabytes of data. One exabyte is the same as one million terabytes of data. Allow that to sink in.
You wouldn’t be able to go through all of that data, let alone monitor and see which ones are bad and which ones aren’t, even if you had a virtual army of content moderators looking at it all at the same time, 24/7-365. Once again, that’s where the processing power of artificial intelligence comes in.
Alter 3: Offloaded Agency, an AI robot with a humanistic face, is featured during a photocall to promote the upcoming exhibition “AI: More than Human” at the Barbican Centre in London on May 15, 2019. – The sectors in which artificial intelligence (AI) may assist humanity are numerous. Managing the planet’s health, combating discrimination, and inventing in the arts are just a few examples.
Humans are faster at adapting to changes than machines, but they can only focus on one task at a time. They spend more time on a single problem as a result of this. However, when compared to an AI’s “focus,” there is no contest. For instance, the AI DeepMind predicted 350,000 protein structures in minutes, when human experts can only deal with a single structure for months.
After the AI has been fed enough data, it may proceed to the next step in creating a safer internet: categorizing all of the material.
Identifying And Categorizing Content
Several companies are already using artificial intelligence algorithms to clean up their content. Social networking services like Twitter, for example, are excellent examples. Twitter uses machine learning to assist in the detection and removal of terrorist propaganda. Aside from that, the system detects any tweet that violates the platform’s terms of service and flags it.
However, despite their apparent efficacy in terms of online safety, these algorithms are not without flaws. There have been multiple instances when AI has incorrectly labeled acceptable content as “unsafe,” or has completely failed to detect harmful content, which could have prevented catastrophes in the first place.
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What About Cybersecurity?
Without addressing cybersecurity, online safety is meaningless. So many individuals have opened up about their personal lives on the internet, making all of their information available to anyone who wants it. That information can be used by anyone with nefarious intent to commit a crime or almost anything else.
The answer is yes to the question of whether AI can aid in strengthening cybersecurity. Many tech companies, including Big Tech behemoths like Microsoft and IBM, are already working on it. For example, Microsoft’s Windows Defender employs artificial intelligence to detect and guard against a variety of security threats.
The FBI and the CSA issued a combined notice to the NGO regarding the current vulnerability exploited by Russian hackers.
It’s all about staying current when it comes to online safety. Cybercriminals are constantly attempting to diversify their approaches in order to divert authorities away from their crimes. Artificial intelligence can keep up with the rapid evolution of cyber risks and, in some cases, even prevent them from occurring, by predicting the likelihood of data breaches, for example (via Computer.org.)