Development and commercialisation of Green AI Auditor to enable sustainable and resource-efficient AI uptake for the financial services market

2019冠状病毒病加速了我们整个经济的数字化转型。许多公司成功渡过疫情，归功于不受约束的数字化计划。人工智能（AI）是许多这些变革的核心，因此疫情正在蔓延，并将继续增加业界正在开发和部署的人工智能模型的数量。然而，人工智能模型目前是有成本的：它们的创建和部署在计算上是昂贵的，这给小型企业和个人的进入设置了巨大的障碍，并产生了大量的人工智能碳足迹。COVID-19的后果将这一问题从未来带到现在，并使其更加严重。然而，一段时间以来，人们已经很清楚，人工智能的碳足迹最终将污染预示中的第四次工业革命。自2012年以来，进行深度学习研究所需的计算量增加了大约30万倍\[[Allen Institute][0]\]，训练一个深度神经网络现在可以释放284吨二氧化碳，相当于一辆普通汽车寿命排放量的5倍\[[Strubell et al][1], [NewScientist][2]\]，而构建超人围棋人工智能系统已经花费了价值数千万美元的计算\[[Allen Institute][0], [Yuzeh][3]\]。Mind Foundry正在开发绿色人工智能审计员（GAIA），这项技术将使商业用户能够预测、监控和减轻其人工智能技术项目的计算需求所产生的碳足迹。Mind Foundry的使命是让人工智能民主化，并已经建立了世界上最先进的“人在循环”（human-in- loop）人工智能平台。GAIA将使Mind Foundry的客户能够实现可持续的人工智能数字化转型。[0]: https://arxiv.org/pdf/1907.10597.pdf[1]: https://arxiv.org/pdf/1906.02243.pdf[2]: https://www.newscientist.com/article/2205779-creating-an-ai-can-be-five-times-worse-for-the-planet-than-a-car/[3]: https://www.yuzeh.com/data/agz-cost.html

COVID-19 has accelerated digital transformations across our economy. Many companies successfully navigating the pandemic owe their resilience to unconstrained digitisation programs. Artificial intelligence (AI) lies at the heart of many of these transformations, and so the pandemic is growing, and will continue to grow the numbers of AI models being developed and deployed by industry. However, AI models currently come at a cost: they are computationally expensive to create and deploy, which results in significant barriers to entry for smaller businesses and individuals, and the creation of a large AI carbon-footprint.The consequences of COVID-19 have brought this problem from the future to the present, and made it even more acute. However, it has been clear for some time that AI's carbon footprint will eventually come to dirty the heralded fourth industrial revolution. Since 2012, the computation required to do deep learning research has increased approximately 300,000 times \[[Allen Institute][0]\], training a single deep neural network can now emanate ~284 tonnes of CO2, equivalent to five times the lifetime emissions of an average car \[[Strubell et al][1], [NewScientist][2]\], and building super-human Go playing AI systems has cost tens of millions of dollars' worth of compute \[[Allen Institute][0], [Yuzeh][3]\].Mind Foundry is developing the Green AI Auditor (GAIA), a technology that will enable business users to predict, monitor and mitigate their carbon-footprint generated through the computational requirements of their AI technology projects. Mind Foundry is on a mission to democratise AI, and has already built the world's most advanced, "human-in-the-loop", AI platform. GAIA will bring Mind Foundry's clients the ability to make their AI digital transformations sustainable.[0]: https://arxiv.org/pdf/1907.10597.pdf[1]: https://arxiv.org/pdf/1906.02243.pdf[2]: https://www.newscientist.com/article/2205779-creating-an-ai-can-be-five-times-worse-for-the-planet-than-a-car/[3]: https://www.yuzeh.com/data/agz-cost.html