Keynote “Quantifying sustainability impact during the lifecycle of an AI project”
By Dr.-ING. Susan Wegner
Managing Director Deloitte Digital


Abstract:
Measuring the impact of AI projects in terms of sustainability is of highest actuality. One the one hand, AI projects are initialized to have a positive effect in one or multiple dimensions of sustainability – economical, social or/and environmental – and thus impacting a multitude of industries, examples ranging from minimizing food waste to optimizing the power grid with increasing decentralized renewable sources of energy. On the other hand, realizing such AI projects requires a substantial amount of energy due to training, data processing and implementation. Consequently, precisely measuring these (ecological) negative effects is essential to proof the undoubtedly positive effects of AI projects.

The presentation will concentrate on the approach how to monitor the ecological footprint of AI projects through the full project cycle – from planning over implementation and training to the long term effects caused by continuous model integration – and put this into context with the positive impact of the AI project.

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