ChatGPT introduces several risks in software development, notably the potential for generating inaccurate, buggy, or insecure code, demanding rigorous human review to prevent critical vulnerabilities. A significant concern revolves around intellectual property and licensing ambiguities, as the ownership and usage rights of AI-generated code remain a complex legal grey area. Developers also face the risk of over-reliance and skill degradation, potentially hindering their foundational problem-solving abilities and deep understanding of system architecture. Furthermore, feeding proprietary or sensitive project data into ChatGPT can lead to serious privacy breaches and data leakage, while the generated content might inadvertently perpetuate biases inherited from its training data, impacting fairness and equity in applications. These challenges necessitate a cautious and critical approach to integrating AI tools into development workflows. More details: https://uadvokata.com.ua/