Let Us Protect Ourselves From AI’s Dark Side!

What is Artificial Intelligence?

Now, Artificial Intelligence or popularly known by its short-form AI, is a wide-ranging branch of computer science that concerns itself with building smart machines that are capable of performing tasks that typically require human intelligence. AI is also an interdisciplinary science with multiple approaches, but the greater advancements in machine learning and deep learning are creating a major impact in almost every sector of the technology industry. Some common examples of AI include automated customer support, personalized shopping experience, smart cars, drones and much more.

Potential risks of AI

The promise of AI is real, but the potential risks also are simply as real. However, in the end appropriate steps taken will reduce the risks. Artificial intelligence and now augmented intelligence have received quite a lot of attention. While some components may be overhyped, the era is a certain part of our future.

 Adobe’s 2018 Digital Trends record found that while just 15% of corporations use AI today; 31% have it on their schedule for the following 365 days. Advancements in AI, such as machine learning and neural networks, are marching us in the direction of a greater interconnected and automated future. While the technology maintains to grow, the technology behind AI remains looking to apprehend how the human mind works, and replicate that to assist the enhancement of our everyday life.

Considerations for an AI future 

Despite the pleasant intentions for AI, computer structures may also in the end increase in ways we by no means imagined. This was illustrated at some point of the 2017 Neural Information Processing Systems Convention whilst researchers provided an AI-based system for image mapping that was found out to provide outcomes by using hiding source data through Steganography. The system produced the outcomes researchers were looking for but with the aid of “cheating” and hiding data it needed to “succeed”. As AI continues to grow exponentially, the notion that this generation could doubtlessly be used for malicious purposes will become more actual. One latest example to bear in mind are the consequences of AI driving social media bots at the 2016 US Election.

Ultimately AI will “research” primarily based on the records we provide it to function on. We need to make sure we aren't biasing the effects with the aid of selecting information that fits our preconceived understanding of what is appropriate. Consider these instances where AI misinterpreted data and came back with the wrong information.

The data security industry additionally has some work to do to create extra protection mechanisms as advanced assaults on data integrity are increasing and are equally hard to discover and shield against.

AI’s role in protecting the network 

On the flip side, AI will hold to play a role in protecting against different threats. There are corporations already developing AI-based products that provide threat-hunting, attack analysis and incident reaction to proactively look for potential problems. Another instance is the latest work of the New York Power Authority to combine AI into its energy grid. While the machine can truly aid with detection of problems, it's critical that the manner wherein the system responds to threats is managed. As Rob Lee said, “You don't want your grid operators, the humans that are controlling the grid, to become so dependent on the machine learning or AI model that they forget how to do their job."

Minimizing AI dangers 

To be clear, AI may be used for excellent purposes. However, it is critical for organizations to understand the whole image and to figure out what can be performed to mitigate the risks.

Legislation: While studies and experiments should be unfettered to the greatest extent possible, before structures built on AI are given control of critical regions (e.G., critical infrastructure, finance, healthcare, cyber protection, and so forth.) the results of failure must be described very well.

Bound the capabilities:With the growing threats of AI, one way to control the risk of AI could be to set boundaries within which the AI system must function to avoid the unnecessary consequences. If limits are set by keeping in mind the worst case situations, controls may be installed that dictate exactly what the AI system can do. Examples of the worst-case scenarios would be stopping the automated delivery of medical treatment in a reaction to a detected healthcare risk or proscribing the scale and frequency of economic transactions in response to strange market conditions.

Keep the human in control of the ship:Similar to today’s research of self-driving vehicles, automated responses to network threats that might be disruptive must be limited to a human’s decision, for now. Augmented intelligence combines the velocity of device intelligence with the intuition and management of humans. Coupled with this is the want for the community to have the potential to evolve to external stimuli. The AI machine can propose a course of action, or several. It could even expect the final results given a specific choice. But in the end the “red button” needs to be pushed with the aid of a human.

Experiment and install extra: The first-class mitigation for danger might also in truth be to boost up the studies and test in controlled regions. Using the structures in simulated or replicated environments will allow researchers to better understand while unintentional activities or responses occur and also better understand how to mitigate them.

Training and deliberate layout: Published frameworks on each social and technical impacts and consequences must be made available to absolutely everyone. The promise of AI is in fact real. However, the potential risks also are simply as real. As it is in the case with countless other advances we have made, countermeasures monitor themselves and the benefits of the new technologyultimately overtake the danger. This too, could be the case with AI.

Conclusion

With the advancement in technology, artificial intelligence might take over our world in no time. However, certain measures and ethics must be followed to keep the relationship between humans and artificial intelligence balanced.Just like every coin has two sides, AI has both good and bad sides. On the dark side, there is a risk of data security and data misinterpretation. But, with the necessary steps and proper guidelines and regulations, the adverse effects of AI can be minimized.