Implementing a Company-Wide Framework for Responsible AI
The BT Group Manifesto explains how our responsible tech principles aim to ensure that while our tech is commercially viable and profitable, it is always for good, accountable, fair and open. When we build AI solutions we follow a company-wide governance framework that helps us to build AI ethically and supports developers in following best practice. The framework is underpinned by BT’s AI research programme and I will present results from our work on fairness evaluation of machine learning models and model monitoring.
Detlef Nauck is the Head of AI & Data Science Research for BT’s Applied Research Division located at Adastral Park, Ipswich, UK. Detlef has over 30 years of experience in AI and Machine Learning and leads a programme spanning the work of a large team of international researchers who develop capabilities underpinning modern AI systems. A key part of Detlef’s work is to establish best practices in Data Science and Machine Learning for conducting data analytics professionally and responsibly. Detlef has a keen interest in AI Ethics and Explainable AI to tackle bias and to increase transparency and accountability in AI. Detlef is a computer scientist by training and holds a PhD and a Postdoctoral Degree (Habilitation) in Machine Learning and Data Analytics. He is a Visiting Professor at Bournemouth University and has published 3 books, over 120 papers, and holds over 20 AI patents.