Skip to main content

Can only AI protect us against AI?

"A new AI model from the University of South Australia offers a faster, more cost-effective method for schools to assess student creativity. The model significantly reduces the time and cost of scoring creativity tests, helping to identify talented students who might otherwise be overlooked." (ScitechDaily,The AI Paradox: Building Creativity To Protect Against AI)




The paradox is interesting. In the model, where we create creativity to protect us against AI, we forget one thing. AI is a tool like a screwdriver. The AI itself is not good, or it's not bad. Its users are people. And people decide what the AI does. The problem is that people who want to make things like computer viruses and use AI-based applications for industrial spying and sabotage are responsible for that action. 

The generative AI or large language models can create spying tools and another kind of "black stuff". The power of the AI is that it creates many things faster than humans. And when it handles and controls large entireties, it's the tool, that humans cannot beat. However, humans require tools to resist the misuse of AI. The AI is dangerous if it is created as a weapon. The weaponized AI can create data viruses that destroy even the missile control computer's databases. 

The weaponized AI can adjust the speed of centrifugal systems that isolate fissile uranium or plutonium from other nuclear materials. And that can cause very bad situations. 

In this case, I mean the AI itself. The computer viruses that infect weapon systems like CIWS can make even the most modern warships practice targets. 

However, the problem is that AI can create new computer viruses and malicious software very fast. That means the data security teams must use similar tools to create antivirus software, and other kinds of things, that can give response to the AI-created malware. Fast-changing threats require fast reactions. Without fast reactions, the malware makers can steal money from the banks. Or they can steal some other information, that makes some critical infrastructure vulnerable. 

If AI takes routine missions, we must turn focus into non-routine works. 

If somebody takes routine missions from you, you must keep the focus on non-routine work. The AI causes a change in the entire environment. And that means we must adapt to that change.  If the AI is better than humans in some missions, we must find areas. Where the AI is not better than we are. 

The AI will take many routine missions under its control. That means humans must start to invest in things that the AI will not make better. So we must give load to the creativity. Humans are still better at creative work than AI. The AI takes our routine work. And that means that we must take the next step to non-routine work. If we want to survive in the world of AI, we must turn to creativity. The non-routine works are things that the AI cannot take. 


https://scitechdaily.com/the-ai-paradox-building-creativity-to-protect-against-ai/


Comments

Popular posts from this blog

New AI-based operating systems revolutionize drone technology.

"University of Missouri researchers are advancing drone autonomy using AI, focusing on navigation and environmental interaction without GPS reliance. Credit: SciTechDaily.com" (ScitechDaily, AI Unleashed: Revolutionizing Autonomous Drone Navigation) The GPS is an effective navigation system. But the problem is, how to operate that system when somebody jams it? The GPS is a problematic system. Its signal is quite easy to cut. And otherwise, if the enemy gets the GPS systems in their hands, they can get GPS frequencies. That helps to make the jammer algorithms against those drones. The simple GPS is a very vulnerable thing.  Done swarms are effective tools when researchers want to control large areas. The drone swarm's power base is in a non-centralized calculation methodology. In that model, drones share their CPU power with other swarm members. This structure allows us to drive complicated AI-based solutions. And in drone swarms, the swarm operates as an entirety. That ca...

Hydrogen is one of the most promising aircraft fuels.

Aircraft can use hydrogen in fuel cells. Fuel cells can give electricity to the electric engines that rotate propellers. Or they can give electricity to electric jet engines. In electric jet engines. Electric arcs heat air, and the expansion of air or some propellant pushes aircraft forward. Or, the aircraft can use hydrogen in its turbines or some more exotic engines like ramjets. Aircraft companies like Airbus and some other aircraft manufacturers test hydrogen as the turbine fuel.  Hydrogen is one of the most interesting fuels for next-generation aircraft that travel faster than ever. Hydrogen fuel is the key element in the new scramjet and ramjet-driven aircraft. Futuristic hypersonic systems can reach speeds over Mach 20.  Today the safe top speed of those aircraft that use air-breathe hypersonic aircraft is about Mach 5-6.   Hydrogen is easy to get, and the way to produce hydrogen determines how ecological that fuel can be. The electrolytic systems require elec...

The neuroscientists get a new tool, the 1400 terabyte model of human brains.

"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map) Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins.  The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain.  This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemica...