CIO OPINION
Prepare to value your mix of GenAI investments based on outcomes and risk .
Gabriele Rigon , Senior Principal Analyst , Gartner
Sustainability of AI and AI for sustainability
Gabriele Rigon at Gartner tackles the dual interplay of AI and sustainability placing importance on the need to make AI operations more sustainable . While Gartner ’ s Rita Sallam indicates that by 2025 enterprises will struggle to justify the cost of Gen AI versus the value delivered .
AI can improve business outcomes and generate value for society , but it has its own intrinsic footprint and raises important questions about sustainability . Understanding the impact that AI technologies have on human life and our planet is becoming increasingly critical . Taking a sustainabilityaware approach to AI adoption is key to ensure AI technology does no significant harm and can contribute to the achievement of sustainable goals in terms of environmental , social and human-centric impacts .
The concept of sustainable AI comes from the broader concept of responsible AI . It is strictly bound to the idea that AI-enabled solutions should be designed and implemented in a human-centric and socially beneficial way .
Leaders in applications and software engineering can understand AI ' s trade-offs and opportunities by combining two concepts : AI for sustainability and sustainability of AI .
AI for sustainability is defined as the capability of AI to reduce the overall operations impact as well as to improve business outcomes , including financial outcomes such as revenue growth and cost optimisation , toward social , environmental and business goals .
Sustainability of AI is focused on improving governance and reducing the environmental and , or social equity footprint of applying AI technologies in operations and business .
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