In an ongoing survey on LinkedIn about the potential of AI over the next 18 months, 65% (so far) are excited about the potential, 24% are horrified, and 11% are actually said they were not affected. Now, and in the near future, we are at war in Ukraine, straining relations on a global scale, and there is a constant fear that our supply chains will continue to put inflationary pressure on us all.
April Earth Month is over. In his YouGov poll in 2022, nearly 40% of his Americans believe climate change will make the planet uninhabitable. Meanwhile, in October 2022, Gallup confirmed in a national poll for the first time in his 30 years that Americans are less optimistic than ever about next-generation opportunities. Just type “AI will kill us” into Google and see what it looks like in mainstream media. Articles in the New York Times, CNBC, Vox, Time and Fortune have seen a lot of AI’s potential darker, very darker sides last month.
If 65% of us are positive about the potential of AI in the next 18 months, why is the mainstream media talking so negatively about it? Or are we seeing something that much of the mainline media seems to be missing? Are 24% smarter than 65% and 11% just ignoring reality?
AI is a growth mindset moment for all of us. For those who design it, for those who use it and experience it. This is not a Luddite moment for the fabric manufacturing industry in a small English county (Leicestershire). Because he affected only a fraction of the Earth’s population at that time, perhaps a hundredth of a percent. AI affects each of us, every moment of every day. It is inherently existential and requires an existential response to how it is leveraged.
Optimism without commitment and a way to make it happen doesn’t work. Carol Dweck’s influential Harvard Business Review article on what it really means to have a growth mindset And that might give you a clue as to how this tension around AI needs to be addressed. “People with a growth mindset see opportunities rather than obstacles and choose to challenge themselves to learn more rather than sticking to their comfort zone. doing.
Think of 10 problems we face as races. Think about how you apply AI to solve problems, whether you’re growth minded or fixed minded.
AI that helps nature
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The climate crisis needs more data and potential solutions
The world is full of billions of microclimates. Applying AI to that data at the microclimate level is perfectly logical. Imagine installing sensors in a tomato field to capture the data and deliver water to each plant precisely at the optimal time. This can improve yield by 20% or more. Machines then harvest those tomatoes and load them into self-driving vehicles 24/7 to deliver them to local markets. The United Nations believes that by 2050 he will need to produce 60% more food for a world population of 10 billion. We have no more land. AI could help feed us.
Our children’s future needs to be better than the present
Imagine a virtual assistant specially programmed to help your child learn at home or at school, based on best practices for their specific learning style or challenges they face. We don’t have enough teachers to do this, but AI teaching models and tools can easily do it. Imagine how optimistic we can be about our children’s futures.
Global conflicts need to be managed early
Imagine knowing or having something or the ability to solve it before it becomes a big problem. AI is the only way to analyze, simulate, and respond to future cyberattacks of the scale. It is no longer just a few countries that attack us, it can be any group in the world. AI is a tool that can be used to defend and protect a way of life that can be attacked by others at will from nearly any dimension.
Genetic engineering
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we need to discover new medicines
The mRNA vaccine was based on AI work with IBM. The fusion of AI and the real world has saved countless lives. This need will only grow if we want to make new medical protocols accessible to everyone on the planet. As the world’s population ages (think Italy and Japan), more and more new treatments will need to be discovered, simulated and tested.
Need to carry things to difficult places
Check out Zoox’s self-driving cars and a recent Forbes Insights podcast from the company’s founder and CTO, Jesse Levinson. Imagine a taxi arriving very late in the city and wanting to pick you up. Zoox taxis use AI to navigate automatically and safely to their destinations. This is an AI-centric product by design, opening up a whole new world of building vehicles (and oceans) to reach and navigate difficult locations like Tokyo Bay. Imagine the potential of drones in firefighting (Auterion).
we need more doctors
Everyone experienced the medical industry at its best during the Covid pandemic. Even small nuances that were once experts have become the norm for more than half of us. These specialists allowed him to see five to ten times more patients a day. Add AI to the mix for data review, and even patient interaction, and you have a scalable healthcare system ready for the next pandemic. More importantly, it has already been shown that AI can recognize skin cancer better than human doctors. Think of more diagnostic possibilities such as MRIs, scans, tests for all of us, and even potential interactions for telemedicine management (such as diabetes).
We need factories that operate 24/7 anywhere on the planet
We don’t have enough people to bring the idea of a 24/7 factory to life. The idea of a dark factory (all machine-based) is inevitable. But imagine putting them closer to the consumer. Because machines powered by AI-powered learning and sensing can be placed right next to the customer.
I want to use energy 50% more efficiently
AI does this at the grid level, at home, and inside complex new energy generation networks (solar, wind, heat). Think of alternative ways these systems can work together to sense, learn, and manage systems in near-real time without the use of AI.
We need to reinvent the supply chains we’re obsessed with
Our insatiable desire to have just about anything the moment we want it has now become almost the norm. Your supply chain is as complex as your DNA. The more these systems (all these systems) work together in real time to locate, move, and deliver components and products at near real-time speed, the more the desire for what is needed now is solved. Only AI can handle and manage this complexity that Covid may have normalized.
We need a machine that does what it can’t easily do
We lack the mineral resources to feed, house and supply the future 10 billion people on earth. Humans are not very good at or at all capable of exploring the very deep trenches of the ocean and mining these resources. Machines with AI brains, sensors, and the ability to simulate and learn in doing this work can get more from the planet than humans ever could. The idea of autonomous mining driven by AI is what the world should aspire to.
The truth about AI is that it is an uncomfortable combination of virtual and digital experiences with our physical world. Applying AI can be dangerous, like in the new movie Artifice Girl. But the core technology demands that we commit and each actively participate in this journey. One question each of us should ask ourselves is where are the opportunities to make a difference with AI?
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