Prof. Dr. Ralf Herbrich | Artificial Intelligence and Energy | Rise of AI Conference 2023

Keynote by Prof. Dr. Ralf Herbrich | Managing Director at Hasso Plattner Institute (HPI)

Abstract:
Artificial intelligence (AI) is the study of intelligent agents that perceive their environment and compute predictions about the future states of the environment (“machine learning”) in order to automatically take actions in the environment that achieve their goal. While the first practical work on AI started right with the advent of computers in the early 60’s of the last century, methods of AI have now found wide-ranging applications in all parts of society. In this talk I will focus on the role that energy plays for AI and AI plays for energy; I believe that an energy-aware perspective is imperative for developing true artificial intelligence and that an AI-first approach is imperative for solving the challenge of transitioning to a sustainable future based on renewable energy. Up until today, the primary focus of research on AI methods has been on predictive accuracy and its dependence on the amount of training data rather than the amount of energy that is necessary. However, going forward, data is (typically) abundant for many tasks but energy is becoming a limiting and economical factor. Not being energy-efficient in AI algorithms is not sustainable in the long term, in particular as the amount and dependence on AI methods in people’s life is only going to increase while the amount of energy that is available to society remains constant.

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Rise of AI Summit Conference 2023 | Berlin & Virtual

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Same way GPU doesn’t work in vacuum brain watts consumption doesn’t work without a living body with a carbon footprint. Training can be shared between multiple robots while human need to training every human