Protecting our environment is one of the biggest challenges we currently face. Artificial intelligence can play a big role in tackling this challenge - but at a cost. While it can give us the tools needed to raise awareness of the problems at hand and even help us manage our society in a way that is necessary to reduce climate change and other environmental challenges, it is essentially a double-edged sword. Current deep learning models are becoming more and more power hungry and leave an ever-increasing carbon footprint.
In this edition of our online webinar series, @Angela Fan will talk about the technical side of things: how can we create more sustainable AI models without sacrificing too much. Angela is a PhD student at INRIA Nancy and Facebook AI Research Paris and is an active contributor and thinker in the field, as she recently co-organized the SustaiNLP workshop at the EMNLP 2020 conference.
Following Angela’s talk, Peter van de Putten and Jeroen van der Most will show us a more artistic way to approach the problem and raise awareness around climate change by letting the AI speak for itself.
an in-depth webinar series about the responsible use and application of AI. In this series, various invited speakers will discuss a range of topics related to the ethical, accountable, and/or sustainable use of AI. Xomnia teams up with Mark Berger, a data scientist at Ministerie van Financiën, and Natasha Shroff, a data analyst at Adyen. They are currently setting up a community around the topics of sustainable, responsible, and ethical AI. The series aims to contribute to issues identified at various levels within companies, ranging from individual employees to data science and business teams, to boardroom meetings.
The aim is to inform, educate and support anyone who is interested in Responsible AI, by offering an overview of cutting edge tools, methods, best practices, and lessons learned for the achievement of positive societal