Status quo: The capabilities of artificial intelligence
AI has now achieved an astonishing range of capabilities that appeared as science fiction not too long ago. Machines can perform complex image and voice recognition tasks with accuracy that exceeds human capabilities. From self-driving cars to personalized recommendation systems and automated production processes — AI has proven to be a versatile technology.
AI's ability to recognize patterns in vast amounts of data has led to it being used in medicine, finance, and many other industries to provide more accurate analysis and predictions.
In 2023, a sub-form of AI, generative AI, also made a huge boost. Generative AI Not only does it recognize existing patterns, but it also generates creative content. From texts to images to music — these systems can create astonishingly human-like works.
But despite all this progress, we must be aware that the rise of AI also brings new challenges and risks. The ability of generative AI to create deceptively genuine counterfeits in particular raises ethical questions. Let's take a look at them together.
Specific risks for companies using AI
Integrating AI into business processes offers numerous benefits — from more efficient processes all the way to data-driven decisions. But as companies seize the opportunities offered by AI, they must also keep an eye on the specific risks associated with this technology. One of the key threats is the increasing vulnerability to cyber attacks.
Gateway for cybercriminals
With the growing complexity of AI systems, new areas of attack for cyber criminals are also emerging. Cybersecurity expert Mirko Hyppönen said: “Anything that is described as smart is vulnerable. ”
The use of AI, particularly in the area of deepfakes, can result in companies becoming victims of fraudulent activity. Manipulated content could be used to deceive employees or managers and reveal sensitive information. This is known as CEO fraud, for example: Cybercriminals impersonate CEO to employees and try to order payments.
A question of ethics
Ethics and data protection represent another risk. Using AI algorithms to analyze large amounts of data can lead to unintended discrimination. For example, AI can also reproduce racism and generate inhuman content. Companies must ensure that their AI systems operate transparently and fairly to prevent legal consequences and loss of trust on the part of customers. If sensitive customer data is insufficiently protected, this can not only cause financial damage, but also significantly impair a company's reputation and credibility.
Liability issues when using AI
The use of AI also raises essential questions about liability, in particular for damage caused by AI-based devices or services. Accidents involving self-driving vehicles, for example, are particularly tricky. Here it is difficult to determine who is responsible — the owner, the manufacturer or the programmer.
These liability issues are not only legally complex, but could also impair trust in new technologies. Removing manufacturers completely from responsibility could reduce incentives for high-quality products and damage consumer confidence. At the same time, overly strict regulations could hinder innovation and limit the full potential of AI. A balance between liability and innovation incentives is therefore crucial to promote the integration of AI into companies.
General risks of artificial intelligence
In addition to the specific risks for companies, there are also general risks associated with the spread and use of AI:
Deep Fakes: Deceptively real manipulation of faces and voices
- Potential threat to individuals' reputation.
- Individuals can be deceived by manipulated content in videos or calls, such as payment requests.
- Far-reaching consequences in politics and journalism are possible, e.g. by manipulating public opinion with fake content.
Deep scams: Using AI for automated fraud attempts
- They differ from deepfakes because manipulated image, audio, or video files are not necessarily used.
- Large-scale automation to reach many potential victims, keyword Lovescams
- Increased risk of fraud and financial loss for companies and individuals.
Intelligent malware: AI-driven malware that optimizes itself
- AI adapts to security measures through behavioral analysis and pattern recognition.
- Difficult to detect and combat.
- Computer viruses can use large language models and rewrite their code whenever they spread.
- Using an OpenAI API to customize the code for each target makes discovery much more difficult.
In light of these risks, it is clear that the responsible use of this technology is critical. When adequate security measures are implemented, AI opens up enormous opportunities for innovative solutions that sustainably improve various areas of our lives. The EU AI Act will be a big step in the regulation of AI in Europe.
EU AI Act — What is it about?
The main goal of EU AI Acts lies in establishing clear guidelines for the responsible use of AI technologies. Innovation and protection of fundamental rights should be balanced. This legal framework sets out:
- What criteria apply to high-risk AI applications,
- What transparency requirements must be met
- and how supervision is strengthened to ensure that AI systems comply with European values and are safe for society.
The EU AI Act comprises a variety of regulations that companies and organizations that develop or use AI technologies must comply with. These include harmonised rules for marketing, commissioning and use of AI systems in the EU as well as specific requirements for high-risk AI systems.
The mentioned risks and dangers that AI can pose illustrate why the law is so important. It will help protect EU citizens from potential risks associated with AI, create uniform rules within the EU, and build trust in AI technologies. The legislation is expected to come into force in 2026. Until then, affected companies will have time to prepare for the new regulations.
Potentials and opportunities of AI
Used responsibly, AI also offers numerous opportunities for progress and innovation. In healthcare advanced algorithms can enable precise diagnoses, develop personalized therapeutic approaches and even assist in the discovery of new drugs. This could significantly increase efficiency in healthcare and thus contribute to improved care and quality of life.
In the economy Automating routine tasks through AI offers the opportunity to use resources more efficiently. Companies can focus more on creative and value-adding activities, optimize production processes and offer personalized customer service. In this way, companies can strengthen their competitiveness and drive innovation forward.
Even in education sector Are there promising prospects through AI. The individualization of learning paths makes a tailor-made learning experience possible, for example by analyzing learning behavior. Teachers and educational institutions can thus respond to the specific needs of students.
Conclusion: The reliable choice for companies — AI chatbot solutions with moinAI
Responsible use plays a decisive role in the constantly evolving AI landscape, even when it comes to the use of chatbots in customer communication. moinAI's chatbots are a secure option. That's why they have advantages over other AI chatbots:
- Qualified supervision: moinAI solutions are backed by large GPT language models in certain areas, but these always remain under the control of experienced AI experts. They continuously monitor the behavior and learning progress of AI. This prevents the AI from becoming independent unintentionally. It is therefore a complex AI technology, but it is very easy to use.
- Text generation with smart support: In contrast to other AI models such as ChatGPT, the texts that the chatbot plays are not automatically generated. In this way, there can be no faux pas in the tone and content of the lyrics. And there is no risk that, for example, products will be recommended by competitors. Of course, models such as ChatGPT can also be trained so that they do not suggest competing products. However, this is highly complex from a technical point of view — and does not solve the problem of data protection. With moinAI, on the other hand, chatbot owners have full control over the content. However, this does not mean that all texts have to be entered manually: For exactly this task, there is the smart moinAI Kompanion, which supports the generation of answers with concepts, texts and input.
- GDPR-compliant: Models such as ChatGPT do not comply with GDPR guidelines. At moinAI, you can be sure that we place the highest value on data protection and regulatory compliance.
In summary: With the combination of complex AI technology, constant control by experts and a high level of data protection, moinAI puts the future of customer communication in trustworthy hands, even when using AI.
