Gerry McGovern’s Post

Intelligent Artifacts Chosen as Machine Intelligence Provider by Scepter, Inc. for Emissions Monitoring #AI #AI/ML #artificialintelligence #complianceassuredintelligence #Cop28 #dataanalyticsplatform #emissionsmonitoring #Green #IntelligentArtifacts #llm #machinelearning #methaneemissionsquantification #MikeEdwards #multimodaldataprocessing #PhilipFather #pollutantidentification #Reasoningtechnology #Scalability #ScepterInc #sensoraggregation

#DidYouKnow Artificial intelligence (AI) technologies have the potential to leapfrog climate solutions around the globe, transforming climate mitigation and adaptation approaches. However, skill gaps exist between AI providers, governments and users. Moreover, the ethical and safe use of this tool for the climate will require strong enabling and regulatory frameworks. Making AI a meaningful climate technology also requires minimizing the emissions and resource impact of the technology itself. UNU-EHS and UNFCCC are hosting a meeting in Bonn (1-2 July) with experts, representatives and decision makers. Equitable access to AI, especially for Least Developed Countries (LDCs), demands awareness of existing digital divides, data gaps and biases. https://lnkd.in/eeFEsMdy

While the hype around AI centres on the promise that it will help save the planet, the reality is that AI-driven technology and the industry surrounding it are currently doing just the opposite. That’s because the complex algorithms and machine learning models powering AI aren’t powered by thin air; they require enormous computational power from thousands of servers housed in data centres around the world. These data centres, operated by the tech giants pushing AI, consume vast amounts of electricity and water to keep running. What’s even more alarming is not just that data centres require energy but the sheer amount of energy they consume. According to researcher Jesse Dodge, ‘one query to ChatGPT uses approximately as much electricity as could light one light bulb for about 20 minutes’. Multiply that by millions of users daily, and the total energy consumption becomes staggeringly high. So this isn’t just a minor hiccup in our fight against climate change – it’s a glaring contradiction. To put things into perspective, there are over 8,000 data centres worldwide, a number that has nearly doubled since 2015. Collectively, these centres now consume as much electricity as the entire country of Italy. And it doesn’t stop there. As AI becomes more widespread and AI tools grow more sophisticated, energy demand will only increase. In just three years, AI servers could consume as much energy as all of Sweden or the Netherlands, according to research. https://lnkd.in/dDYFrGDc

Climate Change: AI Poses Both Benefits and Risks #ArtificialIntelligence Before tech companies can effectively use artificial intelligence to combat climate change, they must first prevent AI from exacerbating the issue. Read More: https://lnkd.in/gCenuBPf

AI Boom, Environmental Woes? As AI use explodes, its energy & water demands rise, sparking concerns about climate impact. But wait! AI can also help us address climate challenges. So, what's the trade-off? #AI #MachineLearning #ClimateChange #Sustainability #RenewableEnergy #CleanTech #ESG

The impact of AI on climate isn't being talked about enough. It's huge. Yes, AI holds the key to unlock solutions at scale but from what I'm reading, this is happening at a far slower rate than the quickly escalating negative impacts. This Corporate Knights article is written from a Canadian perspective, but is a great explainer if you want to know more about this subject. Happy reading! https://lnkd.in/d3m-wznD. 🌎

Do you strive to combat the climate crisis and promote sustainability? Apply your first-class thinking to Challenge 10.6: How can we use technology to better measure and predict the performance of carbon in Woodland Carbon Code and Peatland Code projects more coherently, efficiently and effectively? Let’s show the world how things should work. Kickstart your application today: https://lnkd.in/gzE-YnKV #Woodland #WoodlandCarbonCode #Peatlands #Innovation #DigitalTransformation #YourIdeasMatter #DataInnovation #ResponsibleAI #ScotlandIsNow #AI #Technology #SkillsDevelopment

Is Gen AI a blessing or a burden for sustainability? As is so often the case, the answer is: it depends. Were you able to meet Capgemini at New York Climate Week to learn how to balance the potential of generative AI while considering its cost to the planet at large! If not, get in touch.

"To deliver on the promises of AI and avoid the pitfalls, these seven principles can guide how organizations introduce the new tech into their work "- World Economic Forum 1. Empower humans in building AI solutions 2. Fairness and Inclusion 3. Privacy by design 4. Robustness, safety and security 5. Accountability 6. Transparency 7. Sustainability #AI #HumancentricAI #aiforgood https://lnkd.in/et2BY8Ks

How can Technological Innovation Help in Combating Climate Change? Evaluate the Potential of AI, big data, and other Emerging Technologies in this Context https://lnkd.in/dY2Acm7Q