5 Dangerous Myths About AI Ethics You Shouldn’t Believe; Forbes, May 14, 2025

 Bernard Marr , Forbes; 5 Dangerous Myths About AI Ethics You Shouldn’t Believe

"AI can empower just about any business to innovate and drive efficiency, but it also has the potential to do damage and cause harm. This means that everyone putting it to use needs to understand the ethical frameworks in place to keep everyone safe.

At the end of the day, AI is a tool. AI ethics can be thought of as the safety warning you get in big letters at the front of any user manual, setting out some firm dos and don’ts about using it.

Using AI almost always involves making ethical choices. In a business setting, understanding the many ways it can affect people and culture means we have the best information for making those choices.

It’s a subject there's still a lot of confusion around, not least involving who is responsible and who should be ensuring this gets done. So here are five common misconceptions I come across involving the ethics of generative AI and machine learning."

AI Ethics Part Two: AI Framework Best Practices; Mondaq, August 29, 2024

 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."