The Code of Conduct for Deployers of AI Systems serves as a foundational framework for guiding the ethical and responsible deployment of AI technologies. As the cornerstone of ethical AI practices, this Code outlines the principles, requirements, and guidelines that deployers of AI systems must adhere to in order to foster trust, transparency, and accountability in the development and utilization of AI technologies. At its core, this Code is designed to support the voluntary application of specific requirements outlined in the EU AI Act. By providing clear guidance and standards, it empowers deployers to navigate the complex landscape of AI deployment while upholding ethical principles and legal obligations. Through voluntary compliance with this Code, deployers demonstrate their commitment to ethical AI practices and contribute to the advancement of a responsible AI ecosystem. The scope of this Code is broad, encompassing all deployers of AI systems, regardless of the level of risk associated with their AI applications. Whether deploying AI systems in high-stakes environments or in more routine operations, all deployers are subject to the principles and requirements outlined herein. This inclusivity ensures that ethical considerations are embedded throughout the AI lifecycle, from development and deployment to monitoring and evaluation. Key aspects covered in this Code include transparency, data governance, human oversight, non discrimination, environmental sustainability, and stakeholder engagement. Each of these areas plays a critical role in ensuring that AI systems are developed and deployed in a manner that respects fundamental rights, promotes fairness, and mitigates potential risks and harms. The principles outlined in this Code are underpinned by a commitment to accountability and continuous improvement. Deployers are expected to establish robust compliance frameworks, conduct impact assessments, and implement mechanisms for ongoing monitoring and evaluation. By embracing transparency and accountability, deployers can identify and address potential biases, errors, and negative impacts associated with AI systems. Furthermore, this Code emphasizes the importance of stakeholder engagement and collaboration throughout the AI deployment lifecycle. By involving civil society organizations, academia, industry representatives, and other stakeholders, deployers can ensure that diverse perspectives are considered and that AI systems are developed and deployed in a manner that reflects societal values and concerns.