The rapid development of artificial intelligence (AI) applications has raised concerns about the potential risks they may pose to humans, society, and the environment. Recent advancements in AI have intensified these concerns, and there is a pressing need to incorporate ethics into the AI development process. Establishing ethical principles and issuing ethical guidelines alone is not sufficient to ensure mitigating risks and negative consequences associated with AI applications. Thus, effective methods of their control and human oversight should be established. The AI ethics certification process introduced in this article could offer a practical way for the evaluation, conformity assessment, and certification of AI systems. The process aims to enhance the quality of AI systems and associated trust with key stakeholders through certification guidance, assessment, and independent verification. This certification process can be easily adopted in all phases of the AI lifecycle.

Considering ethical values, maintaining ethical requirements, and addressing ethical concerns is a crucial aspect of developing systems based on artificial intelligence (AI). Developers need to prioritize ethical considerations throughout the development process, from the initial concept to the final implementation. Despite the issuance of numerous ethical guidelines for technology developers in recent years, research results have shown no significant impact of ethical requirements on the human decision-making of software engineers from the tech community. It is therefore important to have well-defined processes to ensure that ethical standards are maintained throughout the development process. This is essential to fostering trust in AI-based systems and reducing their potential risks and negative impacts. This article provides an overview of the processes that can integrate ethics into development methodologies by introducing a certification program that focuses on ethical accountabil...