Showing posts with label AI ethics frameworks. Show all posts
Showing posts with label AI ethics frameworks. Show all posts

Tuesday, December 30, 2025

Lilly Endowment backs Notre Dame’s AI ethics framework; South Bend Tribune, December 30, 2025

South Bend Tribune; Lilly Endowment backs Notre Dame’s AI ethics framework

"The University of Notre Dame has received the largest private grant in its history.

Lilly Endowment Inc. awarded the university a $50.8 million grant, according to a press release. According to the announcement, the grant will fund the DELTA Network: Faith-Based Ethical Formation for a World of Powerful AI, a project led by the Notre Dame Institute for Ethics and the Common Good (ECG)."

A code of ethics for AI in education; The Times of Israel, December 29, 2025

 Raz Frohlich, The Times of Israel; A code of ethics for AI in education

"Generative artificial intelligence is transforming every corner of our lives — how we communicate, create, work, and, inevitably, how we teach and learn. As educators, we cannot ignore its power, nor can we embrace it blindly. The rapid pace of AI innovation requires not only technical adaptation, but also deep ethical reflection.

As the largest education provider in Israel, at Israel Sci-Tech Schools (ISTS), we believe that, as AI becomes increasingly present in classrooms, we must ensure that human judgment, accountability, and responsibility remain at the center of education. That is why we are the first in Israel to create a Code of Ethics for Artificial Intelligence in Education. This is not just a policy document but an open invitation for discussion, learning, and shared responsibility across the education system.

This ethical code is not a technical manual, and it does not provide instant answers for daily classroom situations. Instead, it offers a holistic approach — a way of thinking, a framework for educators, students, and policymakers to use AI consciously and responsibly. It asks essential, core-value questions: How do we balance innovation with privacy? How do we ensure equality when access to technology is uneven? How do we maintain transparency when using AI? And when should we pause, reflect, and reconsider how we use AI in the classroom?

To develop the code, we drew from extensive global research and local experience. We consulted with ethicists, educators, technologists, psychologists, and legal experts — and, perhaps most importantly, we listened to students, teachers, and parents. Through roundtable discussions, they shared real concerns and insights about AI’s potential and its pitfalls. Those conversations shaped the code’s seven guiding principles, designed to help schools integrate AI ethically, transparently, and with respect for human dignity."

Monday, June 9, 2025

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."

Friday, August 30, 2024

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

Laura Gibbs ,Ben Verley Justin GouldKristin MorrowRebecca 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."