Laura Gibbs ,Ben Verley Justin Gould, Kristin Morrow, Rebecca Reeder, Monday; AI Ethics Part Two: AI Framework Best Practices
"Ethical artificial intelligence frameworks are still emerging across both public and private sectors, making the task of building a responsible AI program particularly challenging. Organizations often struggle to define the right requirements and implement effective measures. So, where do you start if you want to integrate AI ethics into your operations?
In Part I of our AI ethics series, we highlighted the growing pressure on organizations to adopt comprehensive ethics frameworks and the impact of failing to do so. We emphasized the key motivators for businesses to proactively address potential risks before they become reality.
This article delves into what an AI ethics framework is and why it is vital for mitigating these risks and fostering responsible AI use. We review AI ethics best practices, explore common challenges and pitfalls, and draw insights from the experiences of leading industry players across various sectors. We also discuss key considerations to ensure an effective and actionable AI ethics framework, providing a solid foundation for your journey towards ethical AI implementation.
AI Ethics Framework: Outline
A comprehensive AI ethics framework offers practitioners a structured guide with established rules and practices, enabling the identification of control points, performance boundaries, responses to deviations, and acceptable risk levels. Such a framework ensures timely ethical decision-making by asking the right questions. Below, we detail the main functions, core components, and key controls necessary for a robust AI ethics framework."
