This is the ultimate #AI paradox - a technology promising to solve global challenges is also one that simultaneously consumes vast amounts of energy. This is an intriguing read on navigating this complex challenge through #technologyconvergence - a synergy of innovations that can transform AI from an energy liability into a force for greener and fairer future for all. With massive data centres now powering AI globally, how else can we ensure this technology's long-term sustainability and equitability? #ResponsibleAI #EnergyTransition #FutureofWork https://lnkd.in/dJrwruxK
Alok Kumar
2mo
That's why I love cybersecurity and governance framework, where we are not only focussed on deliverables and speed rather equal or may be more importance given to risk. And here in the case of AI as well, we are going fast, delivering fast but somehow compromising with the risk factors I.e. power and natural resources are at risk
Vidhyapriya V
2mo
Well put, Alvaro
An interesting article indeed. Until tech convergence starts delivering applicable solutions, it would be helpful to limit the use of AI. For example, preventing the generation of low-value content such as dancing cat videos, fantasy photos, and ghost-written books. Sometimes, an effective path to sustainability is to be more intentional about when, how, and to whom these powerful tools are deployed.
Global Account Manager @ AWS | Cloud | GenAI AIML | Outsourcing | Knight of Rizal (Sir) | Mentor | FSI and Banking | ex-GCP
2moSuperb article Alvaro Garrido and yes agreed it is a challenge. This is a great article on how startups are trying to fix the climate challenge - but yes, using GenAI to do so. https://aws.amazon.com/startups/learn/the-latest-generative-ai-trends-to-address-the-climate-crisis#overview