Digital Trust – Risks, Realities, and Future
Introduction
Artificial Intelligence (AI) has revolutionized the digital world by changing the way people engage with information, how businesses conduct business, and how countries function. AI is now embedded throughout the entire infrastructure of the current internet from providing recommendations based on user behavior to powering self-driving cars. With all that AI has to offer society, we are now beginning to ask an important question, “Is the use of AI in the online world creating unsafe environments for society?”.
This issue is not just a theoretical question; it is an issue that has continued to raise concern and debate between governments, cyber security experts, businesses, and regular users. As AI technology continues to get more robust and accessible, we are seeing that the use of AI is being utilized not only for the purpose of innovation, but now many of these same technologies are being deployed maliciously and with the intent of causing harm. Throughout this current age of cybercrime, misinformation campaigns, and even instances of state-sponsored cybercrime, we are seeing that AI technologies are being leveraged to take advantage of the many vulnerabilities of societies on an unprecedented level.
Throughout the rest of the article we will look at the relationship between AI and internet safety. We will discuss the various type of risks that AI technologies are bringing about, as well as, discuss whether the risk outweighs the benefit of using AI. Finally, we will look into what actions can be taken by individuals, organisations, and governments that can contribute to the creation of a safer online world.
The Growing Use of AI on the Internet
AI as a Foundational Technology
For quite some time now, there have been many different forms of AI. However, today, AI constitutes a foundational type of technology and is being used to power many of the functions that occur on the internet.
AI Algorithms are integral to search engines, social media platforms, e-commerce websites and cloud services. Machine Learning models allow users to identify patterns in large amounts of data and make predictions about how users will behave, as well as find instances of fraud, optimize the delivery of content, and automate their decision-making.
The result has been a faster, smarter and more personalized internet. However, the increasing use of AI has added another level of complexity and risk.
The democratization of AI
The democratization of AI is one of the most significant trends in recent years. Tools that used to be exclusive to the big-tech companies are now accessible by the general public – typically through the use of open-source models, cloud-based AI platforms and user-friendly interfaces, allowing people with little technical knowledge to utilize the full range of AI.
This democratization of AI has created an excellent opportunity for individuals and businesses, totally changing the landscape of the innovation industry. However, it has also lowered the barrier for bad actors (hackers) to abuse and exploit AI technologies.
How AI contributes to rising levels of danger on the Internet.
1.Increased Cybercrime with AI-Led Automated Attacks
AI is now allowing criminals to automate their attacks and increase the ability to successfully launch attacks on the internet. Automating previous manual processes, such as instances of hacking, using AI has increased the ability for automated tools to scan networks for known vulnerabilities and launch successful attacks with little or no human initiative. This results in increased both the volume and frequency of threats to the security of data-related issues on the internet.
Phishing Attacks Using AI
Phishing attacks have evolved due to artificial intelligence (AI). The traditional phishing attacks were just generic emails, often rife with grammatical errors, but attackers can now use AI to personalize their attacks in incredibly believable ways. AI can analyze an individual’s social media profiles, communication patterns, and public information to create personalized attacks that look real.
Evolution of Malware
AI has also changed the face of malware by providing the ability for adaptive malware to be created that will evade detection by the user. These types of malicious software Learn to respond to their environment, change their behavior, and go unnoticed by traditional security systems.
2.The Deep Fake Phenomenon
AI is also being used to create deepfakes (video, audio, or still images created by AI alone) and they are becoming more and more realistic. The creation of deepfakes means an ever-increasing number of examples will be available for people to see fake video/audio/images of other people doing/saying things they never actually did/said. The creation of deepfakes represents a significant threat to trust and authenticity in a digital setting.
Consequences of Misinformation
The spread of false information created by AI will have numerous and far-reaching consequences including, but not limited to:
Manipulation of Politics
Financial Fraud
Damaging Reputations
Creating Social Unrest
The reliability of all digital content is now severely compromised and in a world where you no longer see what you believe to be true.
3.AI and Social Engineering
Social engineering attacks attempt to take advantage of a person’s psychology rather than a victim’s technical vulnerabilities. AI supports social engineering attacks by allowing specific targeting and making the attacks more personalized.
An example of this is that there are various methods by which AI can analyze huge volumes of individual/ consumer data to find and contact victims of scam specifically almost to their last nerve by creating messages to suiting exploit their emotions, behaviors or vulnerabilities. Therefore making scams easier to execute and less likely for any person to be able to recognize one or extremely early detect one.
4.Data Privacy Issues
Collection of large data sets / mass storage of data
The vast majority of AI systems today require large amounts of data to create their features, they must also have access to massive data set to properly create their predictions. One way in which some of the AI systems are able to do this is via collecting and analysing, sometimes without user knowledge, their personal data.
Potential for data misuse
The more data processed/analyzed/captured/collected, the greater the risk of misuse and data breaches occurring. AI has the ability to compound this risk through its ability to offer more in-depth analytics and understanding of personal behaviors, preferences and even psychological characteristics.
5.Algorithmic manipulation and Bias
AI systems and technology are only as good as the data from which they have been developed. Therefore, if the data used to create the AI system is biased, the behaviour of the AI will continue those biases, and in many cases, enhance those biases through the continued execution of those behaviours.
This can also lead to various unacceptable conclusions in different environments such as:
Content moderation; Hiring assessment; Credit scoring; Criminal / Jail and Prosecutorial systems.
In addition, AI systems can provide malicious actors with means to manipulate, alter and or contort/ manufacture the propaganda, content or public opinion they desire.
Is AI a root problem or merely a tool for the problem?
Humans versus Technology
It’s important for as many people and entities as possible to understand that AI as a single product/service cannot in and of itself be a threat.
Just like any other kind of technology, AI can be used either as a benefit or a detriment, depending on how it’s applied. In this case, it’s not the technology (AI) that presents risks; it’s the manner in which people utilize that technology.
To say that “AI is bad” simplifies the issue; however, the larger point is that human behaviour relative to AI and how people are incented and effective governance in our evolving AI society represent the biggest risk.
Amplification of Existing Threats
Instead of being responsible for the creation of new types of threats, AI tends to amplify existing threats. Some examples include: Cyberspace crime, cyberspace disinformation campaigns and violations of user privacy (which have existed for a long time!) — are now being perpetrated on a larger scale; and, with far more efficiency due to AI.
The Positive Role of A.I. in Internet Safety
1.A.I. cybersecurity
cybersecurity systems employ the following AI tools to identify unusual patterns or anomalies, in addition to identifying emerging threats in real time by automating responses to those identified security incidents: They create a dynamic defense mechanism that can change with rapidly changing threats.
2.A.I. technologies
A.I. technologies are utilized in the moderation of web-based content at various levels throughout social media platforms by identifying and removing harmful content such as hate speech, misinformation, illegal and objectionable content, etc. These systems are certainly not 100% fool-proof; however, they will continue to provide an effective means to limit the proliferation of harmful content on an ongoing basis.
3.Detecting Fraud
Financial Companies use AI systems to track transactions, and detect fraudulent activity (to help minimize financial loss). AI analyzes records of behaviors by humans in the financial market to determine whether or not the transaction(s) made will likely be fraudulent in nature.
4.Increasing Data Privacy Protection
AI systems can also provide additional protections for data privacy through:
Anonymizing Data
Using techniques called differential privacy
Providing Secure Data Analysis
These methods allow users to obtain useful information about them without having actual identifiable data retained.
Challenges Associated with Regulating AI
Rapid Development of Technology
The greatest challenge facing the ability to regulate AI-related risks is the rapid development of new technologies. Frequently, regulations are behind the innovation curve. There is great vulnerability in the gap between regulations and new innovations.
Global Aspect of the Internet
The global nature of the internet creates unique challenges in legislating uniformity across diverse jurisdictions. What may be viewed as a lawful business practice in one jurisdiction is often not seen as a lawful business practice in another jurisdiction.
Balancing Security with Innovation
Policymakers must deal with balancing technological innovation against the needs of security. If regulations are too cumbersome, they will hinder technical progress. If regulations are inadequate, systems will be insecure.
The Influence of Major Technology Companies
Responsibility and Accountability
Major tech firms have an essential role in helping to create a safe Internet. They are expected to be responsible and accountable for developing and implementing AI-based systems that affect millions of people every day.
The responsibility of businesses and organizations for the use of their AI systems includes:
- Transparency in AI systems
- Strong security measures to protect against the misuse of AI
- Ethical development of AI
A greater emphasis has been placed on the ethical development of AI. Current principles for ethical AI include fairness, accountability, and transparency; as a result, businesses are starting to adopt frameworks that guide the responsible use of AI.
What can you do as a citizen to help reduce the risks associated with using AI?
Digital Literacy
To combat the risks of AI, individuals can improve their digital literacy by learning how to:
- Recognize phishing emails/calls
- Identify misinformation
- Protect their personal information
Critical Thinking
With the rise of AI-generated content being released online, it is important for all users to think critically about the information that they consume. They should be sure to verify any information that they receive through multiple sources and question everything that they encounter online.
Good Security Practices
Individuals should also adhere to good security best practices in order to safeguard themselves from cybercriminals such as:
- Using strong passwords
- Enabling two-factor authentication
- Keeping their computers up-to-date through software updates
The Future of Artificial intelligence and Internet Safety
Technology will continue to advance, meaning that new forms of technology will come to be available which may help to make the internet a safer place or that may pose a threat to the safety of internet use. Examples of these new forms of technology include:
- Autonomous AI agents
- Advanced generative models
- AI-based decision support systems
Collaboration
There is a need for collaboration between:
- Governments
- Technology companies
- Researchers
- Society as a whole
No one organization can solve these issues on their own.
Bringing Trust to a Global Digital Space
Ultimately, our objective is to create an online digital community that can be relied on. We will do this in part by not only streamlining our technology for improvement, but through building a culture that exhibits personal responsibility, openness and trustworthiness.
Wrapping It Up
So, is artificial intelligence (AI) making the Internet a perilous place? The simple response from us is – No. But, there are no black or white answers.
AI is creating new dangers as well as magnifying and intensifying previously existing threats to a high degree. Some examples of risks presented by AI are cybercrime, deep fakes, concerns about privacy, and algorithmic bias. Thus, AI is increasing the difficulty of dealing with many of the exhaustive issues that exist related to online safety. At the same time, AI is also a high powered tool that will enhance security; that will discover threats and that can create an overall increase in safety with regard to the entire Internet.
Therefore, because of how AI is developed, distributed, and regulated will be very important in understanding whether AI will be perceived as a threat to online safety. By using AI responsibly; creating policies for AI that provide good governance, and having the public educated as to how to utilize the capabilities of AI will ultimately allow for AI to aide in the overall improvements towards creating an enhance volume of online safety.
Therefore, rather than viewing AI as something that is going to hurt the Internet, we are happy to view AI as a double edged sword that requires careful handling in order to help enhance the online community in which we all live. The future of online safety will not be determined by AI alone; but by how we treat it and positively affect its role within our societies.
When finding out how AI is affecting online safety, it is not whether AI is creating an unsafe internet environment; but it is whether we are second guessing ourselves and preparing ourselves with difficult decisions on how we treat AI.
