Once thought of as simple automated conversation programs, AI chatbots can now learn and conduct conversations that are almost indistinguishable from humans. However, the dangers of AI chatbots are equally diverse.
These range from exploits by people to real cybersecurity risks. As humans become more and more dependent on his AI technology, it is imperative to know the potential impact of using these programs. But are bots dangerous?
1. Prejudice and Discrimination
One of the biggest dangers of AI chatbots is their tendency to fall prey to harmful biases. As AI draws connections between data points that humans tend to miss, it can sense subtle implicit biases in training data and teach itself to be discriminatory. As a result, chatbots can quickly learn to spew out racist, sexist, or otherwise discriminatory content, even if their training data did not contain extreme content. increase.
A prime example is the recruitment bot that Amazon abandoned. In 2018, Amazon Abandoned AI project This meant pre-evaluating applicants’ resumes to penalize female applicants. Because most of the resumes the bot trained were male, the bot learned to prefer male applicants, even if that wasn’t explicitly stated in her training data.
Chatbots that use Internet content to learn natural ways of communicating tend to exhibit even more extreme biases. In 2016, Microsoft debuted his chatbot named Tay that learned to mimic social media posts.Within hours, it started tweeting very offensive contentEventually, Microsoft decided to suspend the account.
Similar situations can inadvertently occur if companies are not careful when building and deploying these bots. Chatbots can abuse customers or spread harmful biased content that should be prevented.
2. Cybersecurity risks
The dangers of AI chatbot technology can also pose a more direct cybersecurity threat to people and businesses. One of the most prevalent forms of cyberattacks is phishing and vishing.These include Cyber Attackers Mimicking Trusted Organizations such as banks and government agencies.
Phishing scams are usually done through emails and text messages. Clicking on the link allows malware to enter your computer system. Once inside, viruses can do everything from stealing personal information to holding systems for ransom demands.
The rate of phishing attacks has been steadily increasing during and after the COVID-19 pandemic.Cybersecurity and Infrastructure Security Agency 84% of people found Replied to or clicked on a phishing message containing sensitive information.
Phishers are using AI chatbot technology to automate victim searches and persuade them to click a link and give up their personal information. Chatbots are used by many financial institutions, such as banks, to streamline their customer service experience.
Chatbot phishers can mimic the same automated prompts that banks use to trick victims. It can also automatically dial a phone number or contact the victim directly on her interactive chat platform.
3. Data poisoning
Data poisoning is a newly devised cyberattack that directly targets artificial intelligence. AI technology learns from datasets and uses that information to complete tasks. This is true of all AI programs, regardless of purpose or function.
For chatbot AI, this means learning multiple answers to any question a user might be given. But this is also one of the dangers of AI.
These datasets are often open source tools and resources available to everyone. AI companies typically keep their data sources secret, but cyber attackers can determine which data sources to use and manipulate the data.
Cyber attackers can find ways to: tampering with datasets It is used to train AI, allowing it to manipulate decisions and responses. AI uses the information in the tampered data to perform the actions desired by the attacker.
For example, one of the most commonly used sources of data sets is wiki resources such as Wikipedia. The data is not taken from a live Wikipedia article, but from a snapshot of the data taken at a specific point in time. Hackers can find ways to edit data to their advantage.
In the case of chatbot AI, hackers can destroy data sets used to train chatbots to work in healthcare and financial institutions. A chatbot program could be manipulated to misinform customers into clicking on links containing malware or his fraudulent website. Once AI begins to extract from tainted data, it can lead to major cybersecurity breaches that are difficult to detect and go unnoticed for long periods of time.
How to deal with the dangers of AI chatbots
While these risks are concerning, they do not mean that bots are inherently dangerous. Rather, a cautious approach and consideration of these hazards should be taken when building and using chatbots.
The key to preventing AI bias is to look for AI bias throughout training. Train on diverse datasets and be specially programmed to not consider race, gender, sexual orientation, etc. in decision making. It’s also best to assemble a diverse team of data scientists to review the inner workings of your chatbot to make sure it isn’t biased, even if it’s subtle.
The best defense against phishing is training.Train all employees to point out issues Common Symptoms of Phishing Attacks to prevent them from falling for these attacks. Spreading consumer awareness on this issue also helps.
You can prevent data poisoning by restricting access to your chatbot’s training data. Only those who need access to this data to do their job properly should have permission. This is a concept called the principle of least privilege. After implementing these restrictions, use strong verification measures such as multi-factor authentication and biometrics to prevent the risk of cybercriminals hacking authorized accounts.
Stay vigilant against the dangers of AI dependence
Artificial Intelligence is a truly amazing technology with almost limitless applications. But the dangers of AI may not be well known. Are bots dangerous? Not per se, but cybercriminals can use them in a variety of destructive ways. It’s up to you how you use this newly discovered technology.
