The Dark Side of AI and its impacts on Us

Artificial Intelligence (AI) has been hailed as a revolutionary technology with the potential to transform numerous industries and improve countless aspects of our lives. However, there is a dark side to AI that has become increasingly concerning in recent years. This dark side of AI involves being used for malicious purposes, from cyberattacks to the development of lethal autonomous weapons. In this blog, we will explore the dark side of AI and some of the ways it is being used to threaten our safety and security.


As AI algorithms become more advanced, they can be used by hackers to automate and scale attacks, making them more effective and difficult to detect. For example, AI-powered bots can be used to launch phishing attacks that are tailored to individual users, increasing the likelihood that they will fall for the scam. AI can also be used to analyze large amounts of data to identify vulnerabilities in networks and systems, making it easier for attackers to exploit them. In some cases, AI can even be used to create new malware that is more difficult to detect and eradicate.

AI-powered cyberattack is the use of DeepLocker malware. This type of malware uses AI to target specific victims by analyzing their behavior and identifying vulnerabilities in their systems. DeepLocker can remain dormant until it reaches its target, at which point it uses AI to decrypt and execute its payload, making it difficult to detect and trace. This type of attack is particularly concerning because it is highly targeted and can evade traditional security measures.

It highlights the need for cybersecurity professionals to adapt and develop new strategies to defend against AI-powered attacks.


A deep fake is a video where a person’s face has been replaced with the face of another person using deep learning algorithms. For instance, a video of a celebrity giving a speech can be manipulated to make it appear as though another celebrity is giving the speech instead, with their facial expressions and movements matching the audio perfectly.

Deep fakes

AI is being used for malicious purposes in the development of deep fakes. Deepfakes can be used for harmless entertainment purposes, but they can also be used to spread misinformation or defame someone by creating false videos of them doing or saying something they never did.

There have been numerous deep fake videos of politicians giving speeches they never actually gave, or celebrities appearing in pornographic videos that they never participated in. These deep fakes can be created using sophisticated AI algorithms and can be difficult to detect with the naked eye, leading to concerns about their potential impact on politics, public discourse, and personal privacy.

An example of a deep fake is a video that went viral in 2018, in which comedian and filmmaker Jordan Peele used AI to create a fake video of former US President Barack Obama delivering a speech that he never actually gave. The video was created using a combination of machine learning techniques and synthetic voice technology, and it showed Obama discussing topics like fake news and the importance of truth in the age of social media.

Autonomous weapons

AI is also being used in the development of autonomous weapons, which are weapons that can operate without human intervention. While autonomous weapons may have potential military applications, there are serious concerns about the safety and ethical implications of their use.

autonomous weapon

For example, autonomous weapons may not be able to distinguish between civilians and military targets, potentially leading to unnecessary casualties. Additionally, the use of autonomous weapons raises questions about accountability, as it may be difficult to determine who is responsible for any harm caused by the weapon.

Financial fraud

In the realm of financial fraud, AI is being used to develop sophisticated fraud schemes that are difficult to detect. For example, fraudsters can use AI to analyze vast amounts of data to identify patterns and vulnerabilities in financial systems. Once these vulnerabilities are identified, they can be exploited to commit fraud on a large scale. Additionally, AI can be used to create convincing fake identities, making it easier for fraudsters to evade detection.

Read more: How AI is revolutionizing fraud detection & prevention

The creation of fake news and propaganda

AI is also being used to automate the creation of fake news and propaganda. By analyzing large amounts of data on social media and other platforms, AI algorithms can identify the topics and trends that are likely to generate the most engagement. Once these topics are identified, AI can be used to generate fake news stories or propaganda that are tailored to the interests and beliefs of the intended audience. This can be used to manipulate public opinion and sow discord in society

For example, in the 2016 US presidential election, Russian operatives used social media bots to spread disinformation and propaganda in an attempt to influence the outcome of the election. They used AI-powered algorithms to target specific demographics with messages that were designed to appeal to their biases and emotions.

Surveillance systems

Finally, AI is being used to develop advanced surveillance systems that are capable of tracking individuals and monitoring their behavior. While these systems may have potential applications in law enforcement and national security, there are concerns about the potential for abuse. For example, governments could use these systems to monitor and control the behavior of their citizens, potentially violating their privacy and civil liberties. It can also be used for unethical purposes.

For example, AI-powered facial recognition technology can be used to track individuals without their consent or knowledge. Privacy and civil liberties are seriously at risk as a result of this. In addition, surveillance can be used for discriminatory purposes, such as targeting individuals based on their race or religion.

For example, in China, the government has installed a massive network of surveillance cameras equipped with AI-powered facial recognition technology to monitor the activities of its citizens. The system is used to track individuals in real-time and to identify and locate people who are considered a threat to national security or social stability.

Job loses

The use of AI in the workplace also poses a threat. While AI can be used to improve productivity and efficiency, it can also be used to automate jobs and replace human workers. This can create job losses and economic inequality. In addition, AI algorithms can be biased, leading to discrimination against certain groups of workers. It is crucial for employers and policymakers to consider the ethical implications of AI in the workplace and to ensure that the technology is used responsibly.

You can read more: Impact of AI on the Job Market: Challenges and Opportunities

Superintelligence is beyond human control.

There is a concern that AI could be used to create a superintelligence that is beyond human control. This can cause unforeseen repercussions or possibly put humanity in danger. While this scenario is still in the realm of science fiction, it is important for researchers and policymakers to consider the ethical implications of AI research and development

From cyberattacks to the development of autonomous weapons, AI is being used for malicious purposes that threaten our safety and security. It is important that we recognize these threats and take steps to mitigate them

AI has shown great promise in addressing some of the biggest global challenges in healthcare, education, sustainability, and disaster response. However, it is important to approach its development and deployment with responsibility and ethics in mind. We must ensure that AI is used for good and not bad, promoting transparency, accountability, and fairness. With the right approach, AI has the power to create a better, more equitable future for all. Let us strive to use this technology for the greater good of humanity.