Ensuring Ethical Standards in the Development of Autonomous and Intelligent Systems

Abstract

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 paper provides an overview of the processes that can integrate ethics into development methodologies by introducing a certification program that focuses on ethical accountability, transparency, privacy, and the avoidance of unacceptable algorithmic bias. The certification method specifies detailed criteria for the independent evaluation, conformity assessment, and certification of AI systems. The article also underlines factors that can affect ethical accountability, transparency, privacy, and unacceptable bias. It provides examples of the necessary documented evidence for conformity assessment against the suite of certification criteria that enable evaluation of the organizations’ ability to meet ethical requirements.

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