Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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Cybersecurity in the World of Artificial Intelligence

Mar 21, 2017 | 2691 Views

Artificial Intelligence (AI) is coming. It could contribute to a more secure and rational world or it may unravel our trust in technology. AI holds a strong promise of changing our world and extending compute functions to a more dominant role of directly manipulating physical world activities. This is a momentous step where we relinquish some level of control for the safety of ourselves, family, and prosperity. With the capabilities of AI, machines can be given vastly more responsibility. Driving our vehicles, operating planes, managing financial markets, controlling asset transactions, diagnosing and treating ailments, and running vast electrical, fuel, and transportation networks are all within reach of AI. With such power, comes not only responsibility, but risks from those seeking to abuse that power. Responsibility without trust can be dangerous. Where will cybersecurity play in our world where learning algorithms profoundly change and control key aspects of our future?

Technology is a Tool

AI, for all its science fiction undertones, is about finding patterns, learning from mistakes, breaking down problems, and adapting to achieve specific goals. AI is a series of incredible logic tools that allow methodological progression in data processing. It sounds complex, but when distilled to its base components, it becomes simple to grasp. In practice, it could be finding the most optimal route to a location, matching biometrics to profiles, interpreting the lines of the road to keep a vehicle in the proper lane, distilling research data to identify markers for diseases, or detecting brewing volatility situations in markets or people. Vast amounts of data are processed in specific ways to distill progressively better answers and models.

The real importance is not in how AI can find patterns and optimal solutions, but rather what the world can do with those capabilities. Artificial Intelligence will play a crucial role in a new wave of technology that will revolutionize the world.

Every day we get closer to autonomous cars that can: transport people across town or the continent, accelerate research for cures to diseases, locate hidden reserves of energy and minerals, predict human conditions like crime, heart attacks, and social upheaval. AI systems are expected to improve the lives of billions of people and the condition of the planet in many different ways, including detecting leaks in pipes to reduce waste and avoid environment disasters, optimizing crop yields to reduce starvation, configuring manufacturing lines for efficient automation, and identifying threats to people's health and safety.

Learning machines will contribute to computing performing actions more efficiently and accurately than humans. This will foster trust and lend to more autonomy. It is not just cars. Think medical diagnosis and treatment, financial systems, governmental functions, national defense, and hospitality services. The usages are mind boggling and near limitless. The new ways we use these capabilities will themselves create even more innovative opportunities to use AI. The next generation may focus on the monitoring, management, control, provisioning, improvement, audit, and communication between other lesser capable AI systems. Computers watching computers. The cycle will reinforce and feed itself as complexity increases and humans become incapable of keeping pace.

As wondrous as it is, AI is still just a technology. It is a tool, albeit a very powerful and adaptable one. Here is the problem. Tools can be wielded for good or for malice. This has always been the case and we just cannot change the ways of the world. As powerful as AI is, there is a direct relationship to the amount of risk which is accompanied with the benefits. When value is created, attackers are attracted and it becomes a target. It might be a hacker, online criminal, nation state, hacktivist, or any other type of threat agent. Those who can steal, copy, control, or destroy something of value, have power. AI will be a very desirable target for those who seek power.

From Data Processing to Control of the Physical World

Computers are masters of data. They can do calculations, storage, and all manner of processing extraordinarily well. For a very long time the data and information generated by computers were largely for humans to be better informed, to make decisions. There are other reasons of course, entertainment, communications, etc. But the point is there have been specific limits. Computers outputs were mostly to a screen, printer, or to another computer. To control things in the physical world takes quite a sizable amount of thinking, in order to do it right. In many cases, we simply don't trust computers to deal with unexpected and complex situations.

Modern airliners have automatic settings which can fly the plane. But we all feel much more comfortable with a human in the cockpit, even if they don't do much but enjoy the ride. They are our fail safe. One which has an irreplaceable stake, just like the passengers, to arrive safely to the destination. Humans, although slow compared to computers, fallible in judgement, and prone to unpredictability in performance, still have a trusted reputation to keep people safe and rise when needed to adapt to changing conditions. They simply are better at critical oversight of incredibly complex, ambiguous, and unpredictable situations, especially when self-interests are involved. AI may challenge that very concept.

It will likely be proven on the roads first. Autonomous systems will be designed to reduce traffic congestion, avoid accidents, and deliver passengers by the most efficient route possible. Drivers are notoriously bad around the world. Sure, a vast majority of trips end in expected success, but many do not. Tremendous resources of time, fuel, and patience are wasted with inefficient driving. Autonomous vehicles, powered by various AI systems, will eventually statistically prove to be significantly better at driving. So much so, it could revolutionize the insurance industry and create a class system on the roadways. Autonomous vehicles can travel in close chevrons at high speed, while human drivers will be greatly limited in speed and efficiency.

Such cases will open the world to computers which will be allowed, even preferred, to control and manipulate the physical world around and for us. It could be as simple as a smart device to mow the lawn. An AI enhanced autonomous lawnmower could efficiently cut the grass, avoid sprinklers, not come near the household pets, detour around newly planted flowers, be respectful of pedestrians, and turn off when children approach or their toys get too close. Such a device will also monitor its performance and act on maintenance needs by proactively ordering needed parts and connecting itself to the power grid when it needs to recharge. It may also find the best place to park itself in the tool shed or garage, and only return when it determines the biological grass again requires upkeep by a smart technological overseer. The trust that AI brings, in reliably making smart decisions, will allow digital devices to manipulate, interact, and control aspects of the physical world.


Source: IT Peer Network