AI-GFA: Applied Framework for Producing Responsible Artificial Intelligence

What is it about?

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.

Featured Image

Photo by Google DeepMind on Unsplash

Photo by Google DeepMind on Unsplash

Why is it important?

- Ethical AI frameworks issued by governments, research institutions, and corporations are often high-level - AI Developers do not have clear guidance on how to apply them leading to either ignoring them or treating them like a box-ticking exercise - Ethical issues of AI are dealt with retrospectively as a result - Ai Developers need a clear, simple, methodical and easy-to-understand applied framework that can be adopted easily and used proactively rather than reactively - “Easy”, as technologies evolve rapidly, and Developers’ time is scarce, so expecting them to delve deep into learning Ethics and Philosophy may not be realistic, especially with rapidly evolving technology which already takes a lot of time to keep up to date with - AI-GFA Framework bridges the gap between high-level frameworks and AI development workflows by simplifying ethical AI discussions and decision-making and providing mechanisms for continuous feedback and continuous improvement by involving users and fostering trust and transparency