While artificial intelligence (AI) is already having a positive impact on our modern society and will likely continue to do so, there will also unavoidably be drawbacks. The earlier we start to think about what those might be, the more prepared we will be to lessen and control the risks.
The introduction of AI has brought about a significant boom for businesses all around the world. AI, machine learning, and other technological advancements are now widely used in businesses to manage their operations and processes. Yet, many organizations abuse AI, and the results are disastrous. The most common abuses of AI and the repercussions we will experience in 2022 are listed in this article.
“Denial of Service” (DoS) Attacks:
“Denial of service” or “DoS” describes the ultimate goal of a class of cyber-attacks designed to render a service inaccessible. The DoS attacks that most people have heard about are those launched against high-profile websites since these are frequently reported by the media.
Although they are nothing new, they are becoming increasingly intricate. It can be difficult to thwart DoS attacks that are AI-driven and have human-like traits. A DoS attack is a type of cyber-attack in which a cybercriminal forbids authorized users from using a networked system, service, website, or application.
Swarm attacks:
Swarm attacks are an unpredictable threat for even the best-equipped naval fleets due to the high volume of small, fast-moving vessels involved. Failure to prepare for such an attack risks naval defenses becoming overwhelmed and decreases the effectiveness of a fleet’s medium and long-range weapons.
Swarm-based bots, a technology known as “Swarm intelligence,” are used in these attacks. Cybercriminals will switch out botnets for “Hivenets,” which are collections of AI-compromised devices.
Human Impersonation on Social Networking Platforms:
AI is being used by cybercriminals to mimic human behavior. By imitating human-like usage patterns, they can, for instance, easily fool bot detection systems on social media networks. Cybercriminals can then monetize the malicious system to produce phony streams and traffic for a particular artist using this AI-supported impersonation.
Spear phishing attacks:
AI-powered spear-phishing attacks are a serious cybersecurity risk. Due to machine learning (ML) algorithms that recognize patterns in datasets, spear-phishing assaults can now be produced using context-specific emails.
Deepfakes:
Deepfakes, which entail the use of AI techniques to create or manipulate audio and visual content such that it appears legitimate, are one of the most well-known AI abuses. The recently popular DeepNude nudie app is the most recent example of AI-generated deep fakes being used to create compromising images of unaware women. These images have the potential to humiliate, harass, frighten, and silence women.