AI-GFA: Applied Framework for Producing Responsible Artificial Intelligence

In the landscape of rapidly evolving Artificial Intelligence (AI) technologies and growing associated ethical concerns, we propose integrating ethical considerations into daily practices of the AI development teams, to address ethical concerns early, at the time of design and development of AI, which is a challenge. This paper addresses this challenge by proposing the AI-GFA (Assess, Implement, Gather Feedback, Act) framework, designed to enable proactive ethical assessments to predict potential risks associated with AI technologies. Through examination of existing ethical frameworks, legislation, principles, and guidelines, this paper aims to bridge the gap between high-level ethical guidelines and their practical application in AI development workflows. The framework emphasises transparency, accountability, and stakeholder involvement, and aligns with consequentialist, deontological, and virtue ethics perspectives. AI-GFA aims to empower development teams to proactively address ethical risks by facilitating informed decision-making and promoting a culture of ethical accountability, transparency, and stakeholder involvement to maximise overall utility by considering a wide range of perspectives and potential consequences.