As companies’ ways of doing business rapidly transform with artificial intelligence, this transformation brings with it not only a technological shift but also a legal restructuring. As the use of corporate artificial intelligence becomes more widespread, issues such as data security, liability, transparency, and regulatory compliance are becoming critical for companies. In this new era, the issue is no longer just about using artificial intelligence, but about being able to manage it within a correct and secure legal framework.
Corporate artificial intelligence is defined as the integration of artificial intelligence technologies into business processes by companies in order to accelerate operational processes, reduce costs, and make more accurate decisions. Today, this usage is no longer limited to technology companies but has expanded into a wide range of sectors including manufacturing, finance, retail, and logistics. In particular, with the widespread adoption of generative artificial intelligence tools, systems such as ChatGPT and Microsoft Copilot have become among the most commonly used tools within companies. These tools are now no longer merely supportive, but have become systems that directly contribute to decision-making processes. These tools are actively used in the following areas;
- Content creation and reporting
- Data analysis and forecasting
- Software development processes
- Customer communication and chatbot systems
On the production side, artificial intelligence stands out in quality control and predictive maintenance processes, while in sales and marketing it enables the creation of personalized campaigns by analyzing customer behavior. In customer service, chatbot systems that operate 24/7 create both speed and cost advantages. The main motivation behind this transformation is clear; producing faster and more accurate results with fewer resources.
The shadow side of uncontrolled use: artificial intelligence risks
The widespread adoption of artificial intelligence also brings significant risks. In particular, uncontrolled use at a corporate level can lead to serious legal and operational problems for companies. Today, a significant portion of the most critical risks does not stem from the technology itself, but from uncontrolled usage habits within companies. One of the most critical risks is data security. Employees inadvertently uploading sensitive internal company data into open artificial intelligence systems directly increases the risk of data leakage. This can mean the transfer of trade secrets and customer information to third-party systems.
Another important issue is artificial intelligence producing incorrect or misleading information. Especially in generative artificial intelligence systems, the “hallucination” problem can lead to flawed decision-making processes. Copyright and content ownership is also one of the grey areas. Who owns content produced by artificial intelligence, which data it was trained on, and whether permission exists for the use of that data are still debated topics.
EU Artificial Intelligence Act
Considered the most comprehensive regulation in the field of artificial intelligence, the European Union Artificial Intelligence Act opens the door to a new era for companies. According to expert insights, this regulation transforms artificial intelligence from merely a technology topic into a direct risk and governance domain. This regulation classifies artificial intelligence systems according to their risk levels;
- Prohibited systems
- High-risk systems
- Limited-risk systems
- Low-risk systems
In particular, strict requirements are introduced for high-risk systems regarding data quality and security, while transparency and explainability of systems are made mandatory. In addition, ensuring human oversight in artificial intelligence processes and recording all operations with regular reporting are also among the core obligations for companies.
Legal liability: who is responsible if artificial intelligence makes a mistake?
The active role of artificial intelligence systems in decision-making processes also brings legal liability debates. Today, the most fundamental question is who is responsible in the event of an error caused by artificial intelligence. In current legal systems, artificial intelligence is not directly attributed a “legal personality” therefore, responsibility is generally assessed between the company developing the software, the institution using the system, and the person implementing the decision. In existing systems, responsibility always remains with the human or the company, while the increasing involvement of artificial intelligence in decision-making processes makes this area increasingly complex.
Every company needs to establish an AI policy
In order to make the use of artificial intelligence sustainable and secure, companies need to take certain steps. First of all, it is critical for every company to establish an AI policy.
- This policy should clearly define;
- Which data can be shared,
- Which systems can be used,
The responsibilities of employees.
In addition, providing regular training to employees is important in preventing uncontrolled use. In particular, awareness should be increased in areas such as “prompt engineering” and data security. According to expert insights, the correct approach is not to restrict artificial intelligence; rather, it is to create a controlled usage model by jointly establishing policy, technology selection, and oversight mechanisms.
Opportunity and risk in Türkiye at the same time
In Türkiye, a comprehensive legal framework on artificial intelligence has not yet been established. However, data protection obligations under personal data protection regulations remain in force. In particular, the EU AI Act is of great importance for companies doing business with Europe. This is because this regulation affects not only companies within the EU, but also all firms that do business with the EU. Regulations in Europe have become not only a compliance process for Turkish companies, but also a factor that can directly create either a competitive advantage or disadvantage.
This situation creates a two-sided picture for Türkiye;
- Opportunity: Companies that comply can gain a competitive advantage
- Risk: Companies that fail to comply may face loss of market access
