In absence of our willingness to use ' Natural Intelligence' to take any actions on the unprecedented climate crisis, we have now no choice but to rely on the accelerated deployment of Artificial Intelligence to predict extreme climate events, and weather patterns and save our civilization. One of the seminal cores of AI is related to improving prediction.
Forewarning of extreme events like hurricanes, floods, droughts, snow storms, and wildfires is needed as last resort. The survival of the ecosystem by making near-accurate forecasts of weather-pattern and its consequence and early warning seems to be, now, unfortunately, the only solution to the disastrous consequence of climate emergency.
In the tumultuous climatic future of human civilization, a reliable prediction is what is needed most for the survival of humanity.
| Frontline software experts are passionately engaged in predictive maintenance and failure of machinery in large manufacturing and servicing industries to prevent losses due to abrupt machine or system failures.
The downturn in the IT sector, including Meta, Amazon, and Netflix resulted in the mass-scale layoffs making headlines and affecting the pool of well-trained youth employees churning out of universities. AI-oriented for predictive analysis is certainly a golden spot in the messy and tumultuous world of technology. In the COVID-19 era, not only new vaccines were developed and new health start-ups sprouted but nearly 15% of venture-capital deals have involved an AI firm. The young generation is engaged in developing clever algorithms for prediction, from how one would look like in old age to the death dates for machines and men. It is now set to enter people's daily lives.
AI is crossing the boundaries from supply chain and warehouse management and touching the sectors of managing robots and cobots as well as driverless cars that are already on the smart streets.
Any part of our civilization from the bottom of the pyramid to its tip stands to benefit from AI. Yes, AI also is a double-edged sword and has the potential to cause additional dangers. But, there too, hopefully, AI would help us to be judicious to use the beneficial sharp edge of that sword.
Youth in the universities promise to accelerate AI's adoption for climate-event predictions. Such predictive and early warning signals are now by the United Nations at its highest level in global Climate Meetings. A recent COP 27 meeting in Egypt openly stated, utmost in a helpless manner, that humanity has miserably failed to mitigate and address climate change. The only way out is to warn people early so that they take survival shelters. Algorithms of AI have extraordinary predictive power based on big data from the world of the internet. And AI can regenerate and reimagine itself. Teams of young innovators from Universities do not need to construct a new custom model for each new AI project.
AI can generate new text, images or video and Virtual and augmented reality. Google is Using AI to develop language translation. It has recently announced language translation to Sanskrit and vice versa. Can we translate the climate predictions into the language of farmers, administrators, industries and society in general? Fear of loss of employment due to AI is as archaic thought as loss of employment due to vanished writers! S&P 500 firms posted around 7,000 job ads a month for AI and machine-learning experts in the three months to November. That is about ten times more than in the first quarter of 2020, as per the analysis from business magazines. Smart Campus Cloud Network ( sccnhub.com), a movement of global universities to transform campuses as 'living labs', is promoting the partnership to accelerate the implementation of SDGs and Climate Action. Progressing and developing AI for the predictive signals of extreme climate events would be the key to ensuring food security, risk minimisation for assets and saving of lives. We need to secure young lives in universities to build beneficial AI! |
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Dr Rajendra Shende
Chairman - TERRE Policy Centre,
Former Director UNEP, IIT Alumni,
Prime Mover Smart Campus Cloud Network
Coordinating lead author of IPCC.