We’ve all watched films that warn us about robots taking over the world. There are plenty of myths that don’t rely on rational thinking or scientific data. But there are threats that we face with the evolving variety of AI systems in place today. With the right methods, it’s possible to reduce the risks we take while using Artificial Intelligence. Here are some of the risks of AI and ways we can reduce such risks.
Uncontrolled access to data
The use of AI in almost every industry has kept growing over the last decade. What was once only a dream is now present in technology, health care, fashion, e-commerce, and many more industries. The scope of AI and ML and their implementation has only grown exponentially. Through its own learnings, AI can improve its flaws and develop systems harder to breach.
Artificial Intelligence is mostly used by networking companies today to handle large amounts of data. Big Data, as we call it, collected by social media websites and e-commerce websites to understand market and customer trends are analyzed by AI. And with such high access to data, AI experts are worried about the extend of information that could be at risk.
According to a research paper writing service, many companies that use AI to handle big data are also being attacked by AI more often nowadays. These AI systems are carefully designed to find loops in the AI of the companies and breach security. Once the security is breached, the attacking AI would most likely have the potential to access all the data, putting the information of millions at risk.
Companies have been developing more complex AI, but a program of a similar match can always have the possibility of finding a breach. They then have to continue developing stronger AI systems while also ensuring their data is safe from attacks.
Unless a limit on the access to AI used by companies is not put, the extent of information access will continue to grow and security breaches will get more frequent. Through laws limiting AI access and companies upholding the social responsibility of safeguarding the information of their customers, such risks can be significantly reduced.
Use of AI in weapons and defense
As mentioned on a leading technology assignment help site, AI is used in several defense systems and weaponry today. From observation tools and satellite image gathering to target locking missiles, the weaponry access provided to AI has increased in military functions. These defense systems can increase the level of protection provided from forthcoming attacks through computative deductions and calculations. Still, it also increases the threat if these systems are hacked and turned into offensive weaponry.
Artificial Intelligence is used in this regard as army personnel can forget about a part of defense while relying on AI. They can shift their focus on other concerning matters. But if the system were to be hacked by an outsider or another AI, the lives of many along with their information would be in danger.
The commercial market for defense systems is enormous in the US. Different weapon manufacturers are constantly competing with one another to get a government contract. This competition can either benefit through high-quality and reliable AI defense systems being made, or it could be destructive, with government contracts going to the lowest bidder.
Greater management of weapon manufacturers along with AI usage limitations for each defense system, if implemented, can reduce the risk posed by AI. Moreover, these systems must be closely monitored and improved to avoid any breaches and hacking. The highest level of security would be provided by eliminating the use of AI in defense systems altogether and use it in threat analysis only.
As already established, AI is built to evolve and improve. Some systems are manually improved through programmers, while others are made to improve through breaches and loopholes. It’s almost like training a human being better at a task, but at a much faster rate. With AI’s computational levels being faster than our own abilities as humans, their use with limited growth can contribute greatly to the community.
By limiting their evolution or growth, AI systems can be kept in check, and the information they have access to can be reduced. Furthermore, the patches and improvements needed to make the system stronger must not be left to the AI but must be done by programmers. This method already exists, but the goal in the minds of programmers is to build a system that functions on its own, without any intervention. This seems great in theory, but its negative implications can be disastrous.
It must be noted that AI development must not be seen as a negative outcome, but unregulated and rapid growth, which we are unable to track constantly, is what poses a danger. As long as this growth is consistent, gradual, and controlled, the use of AI may not be risky.
As we have discussed in this article, the risks of Artificial Intelligence continue to grow today. More and more companies have been implementing its use to reduce work and increase productivity. It has also been established that unregulated usage of AI can lead to a constant increase in threat and reduction in information security. Through controlled growth and improvements, along with laws that limit the usage of AI, we can reduce the risks posed by artificial intelligence.
John Peterson is a professional college paper writer and journalist with four years of experience working in London magazine “Shop&buy’’ and professional essay writing services with the best one being best essay writing service UK. Other than his work, he enjoys playing mini tennis and has written the famous novel “His heart.” You can find him on FB.