Recently, artificial intelligence has made great progress, and it can complete some very complex tasks, such as writing novels, building websites, and doing math problems. While these look great, there are risks that some people may use chatbots to cheat on exams or directly use AI for cybercrime. So we need to take steps to prevent these bad behaviors from happening.
And here are eight reasons why these problems will persist.
1. Open source AI
More and more AI companies are choosing to open up their AI systems, which enables a wide range of users to access and share their language models without being locked into proprietary and closed systems.
Meta is one example of this, and unlike Google, Microsoft, and OpenAI, it allows millions of users to access its language model, LLaMA.
However, open source also comes with risks. For example, OpenAI has no control over its proprietary chatbot ChatGPT, imagine what would happen to crooks if they used free software to control these items.
So even though Meta abruptly canceled its language model, many other AI labs have already released their code.
As a result, transparency and sustainability have become important features of open source systems, as HuggingChat has shown its datasets, language models, and information from previous versions to better advance artificial intelligence.
2. Jailbreak tips for LLM
AI is indeed a system that cannot understand morality and right and wrong, and it only focuses on patterns in the training dataset. Developers can control their functionality and restrict their access to harmful information by setting restrictions, but these restrictions are not foolproof as users can bypass these restrictions by rewriting prompts, using confusing language, and explicit instructions. In the case of ChatGPT, while it can answer general questions about Trojans, it does not discuss the process of developing them. In addition, unreasonable text written by users and clear details written can deceive ChatGPT and cause it to make incorrect predictions. These actions violate OpenAI's guidelines. Therefore, more efforts are needed to ensure that AI systems are used safely, and more transparent and sustainable approaches are needed to develop and manage them to avoid potential dangers and risks.
3.AI Sacrificing security for versatility
AI developers do focus more on versatility than security, which allows them to utilize more resources to train the platform for more diverse tasks, resulting in fewer limitations. However, this practice may lead to potential dangers and risks that affect the user's normal experience. Therefore, when developing AI systems, the importance of safety should be taken into account and corresponding measures should be taken to ensure their safe use.
While Bing Chat has more sophisticated language models to extract real-time data, its strict limitations can also prohibit many tasks. In contrast, ChatGPT has a more flexible platform and a wider range of applications, but this also means that it may be subject to more security risks and challenges. Therefore, when choosing an AI chatbot, users should choose based on their needs and security considerations.
Finally, whether it's ChatGPT or Bing Chat, we shouldn't let AI roles play an "unethical" role, we need a more transparent, safe, and sustainable approach to developing and managing AI systems to ensure their safe use and social responsibility.
4. New generative AI tools come on the market regularly
The open-source code really makes it easier for startups to join the AI race and integrate it into their applications, saving a lot of resources and time. In addition, the emergence of non-proprietary software has also promoted the development of artificial intelligence, which can promote the popularization and application of artificial intelligence technology. However, the large-scale release of poorly trained complex systems poses some risks, such as the possibility of abuse of vulnerabilities by crooks and training insecure AI tools to perform illegal activities.
Tech companies releasing betas of unstable AI-driven platforms can negatively impact users because of the potential for bugs and vulnerabilities on these platforms. However, in the rapid development of artificial intelligence and the competitive market, companies must release new products as soon as possible to win market share while ensuring product quality. Therefore, these companies need to strengthen their internal team capabilities and quality control standards while addressing errors and vulnerabilities to ensure product quality and user experience.
In conclusion, open source code and non-proprietary software have driven the development and popularization of AI technology, but when using these tools, we must also be aware of potential risks and problems and take measures to minimize their negative impacts.
5. Generative AI has a low barrier to entry
Indeed, the development of AI tools has lowered the barrier to entry for crime. Now cybercriminals can generate malicious content by tricking artificial intelligence and use it in phishing attacks. This allows cybercriminals to carry out their attacks without much technical experience.
AI technology companies like OpenAI take regulation and risk management very seriously. They do their best and take various measures to prevent their technology from being used for illegal activities. For example, OpenAI develops guidelines and security measures, while working with relevant agencies and experts to oversee the use of its technology.
However, with the continuous development of AI technology, the possibility of it being exploited by bad actors cannot be ruled out. Therefore, regulation and risk management remain an extremely important issue. We need to strengthen regulatory mechanisms and ensure that technology companies, governments and the public can all work together to address potential threats and challenges. Only in this way can we better use AI technology to bring long-term benefits to society while minimizing its negative impact.
6.AI is still evolving
Indeed, AI technology is still evolving. Although the use of AI in cybernetics dates back to 1940, modern machine learning systems and language models have only recently begun to gain widespread use.
However, despite the potential benefits and innovations of these new technologies, they can also create new problems. For example, machine learning algorithms can be biased to lead to inaccurate or unfair treatment of certain groups, which can lead to discrimination and injustice.
In addition, experimental features like chatbots can be subject to intentional or unintentional abuse and malicious attacks. Developers need to take security measures to protect against these attacks while proactively addressing any flaws or biases.
We should be very careful when exploring new platforms. Scammers can take advantage of seemingly harmless mistakes to commit fraud and cause irreversible damage. Therefore, we need to carefully assess the risks of new technologies and develop measures to manage and reduce potential negative impacts.
7. Many people don't yet understand AI
While many people can use language models and systems for a variety of tasks, only a few truly understand how they work.
This also leads to some security issues. For example, chatbots like ChatGPT are popular, but cybercriminals may abuse their popularity to trick their victims and embed malware in them.
In addition, due to the rapid development of AI technology, it is difficult for the public to keep up with the pace of the competition. Many technology leaders are focused on releasing AI-driven systems, and the lack of free educational resources makes it difficult for the public to understand and master these new technologies.
Therefore, we need to take measures to improve public understanding and awareness of AI technology, while strengthening safety supervision and risk management to ensure the benign application of AI technology. Technology companies should provide more educational resources and training to better understand and use these technologies by the public. At the same time, governments and relevant organizations should strengthen regulation and regulation development to ensure the safe and fair application of AI technology.
8. Black hat hackers earn more than white hat hackers
Black hat hackers usually earn more than ethical hackers. Yes, penetration testing pays well for global technology leaders, but only a fraction of cybersecurity professionals get these jobs. Most people do freelance work online. Platforms like HackerOne and Bugcrowd pay hundreds of dollars for common mistakes.
Or, the crooks made tens of thousands of dollars by exploiting insecurities. They may extort companies by exfiltrating confidential data or use stolen personally identifiable information (PII) for identity theft.
Every institution, big or small, must properly implement an AI system. Contrary to popular belief, hackers have outpaced tech startups and SMEs. Some of the most historic data breaches of the past decade have involved Facebook, Yahoo! Even the government.
Protect yourself from the security risks of AI
Avoiding the use of AI is not a solution. In fact, AI technology has many potential benefits that can lead to greater efficiency, faster innovation, better precision, and more.
While all security risks originate from the people who actually use them, the point is to understand how to use and prevent cybersecurity threats posed by AI. Establishing a complete security management system, ensuring data security and privacy protection, and being vigilant against shady AI applications, avoiding strange hyperlinks, and viewing AI content with suspicion are all important security measures.
In addition, education and training are also an important means of preventing cybersecurity threats. The public needs to better understand AI technologies and related cybersecurity knowledge, understand common security risks, and how to avoid and deal with them.
In short, artificial intelligence technology is the trend of future development, we should actively adopt and develop, but also should pay attention to safety issues, take necessary measures and preventive measures, to ensure the benign application of artificial intelligence technology.