AI is transforming the world, but its integration with environmental, social and governance (ESG) principles is crucial. While AI has a significant footprint – with soaring data centre emissions to keep up with the compute demand – the very innovation driving this surge is also developing solutions for sustainable and equitable growth, exemplified by the role of AI in precision agriculture to reduce water and fertilisers and AI solutions for power grid optimisation.
Discussing AI’s impact on environmental, social and governance aspects can short circuit the conversation. Either by berating individual behaviour or by shifting focus to bigger ESG offenders. In both cases we avoid talking about the elephant in the room: AI has hit an inflection point and its usage and adoption rate are only going to go up from here. And meanwhile, governments and companies are shaping a future with AI as part of our daily lives.
This series will delve into various aspects of AI and sustainability factors, helping C-level executives navigate the different perspectives on the impact of artificial intelligence. It aims to address both the challenges and opportunities related to building sustainable and ethical AI as part of our day-to-day lives.
We kick-off this series with the environmental impact of AI training and usage. In future articles, we will cover:
How AI is shaping customer and employee engagement and the role of Trustworthy AI.
Addressing effective AI governance in light of the EU AI Act, data privacy, cyber security risks and AI guardrails.
A C-Suite Playbook for Responsible AI
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