What’s Next After Artificial Intelligence? Enter The World Of Explainable Artificial Intelligence
Artificial intelligence is one of the hottest trends across the planet. But it’s not new, it has been here for quite some time and helped people and organizations do wonders. Since organizations and enterprises, these days have a lot of data, they can harness the benefits of Artificial Intelligence Business Solutions. As a result of which they gain a competitive advantage and enjoy the dominance in the market.
Taking a look back, artificial intelligence was conceived back in the 1940s and there was a lot of skepticism around it. As profound as the idea was thought to be, there was resistance as researchers and scientists had their worries about the technology and the way it would proliferate in society. Most of all, people were worried about the dynamics that artificial intelligence would share with humans. How will it impact mankind? Will it physically impact them or alter their emotional perception of technology? Even though the debate on artificial intelligence persists as fiercely as ever, there is more good than it is doing to the world than harm, considering the present scenario.
Artificial Intelligence in the World Today
Today, artificial intelligence is more than just technology. It is an integrated part of various organizations helping them not just carry the day to day tasks but also understand the market in a much more comprehensive manner. The beauty of artificial intelligence, however, lies in the way that organizations use it to prepare themselves. Breaking down to the nuances, it means understanding the customer behaviors and personalizing experiences so that they get exactly what they expect from a product or brand.
Be it the world of business or healthcare, artificial intelligence is largely found penetrating many industries and transforming organizations to their core. Not only is it the key to sustaining oneself but also thriving fiercely in the future. In the healthcare sector, artificial intelligence is assisting doctors to plan an enhanced course of treatment for their patients and diagnose diseases in a much better manner.
Similarly, when it comes to the underlying approach of the healthcare system, artificial intelligence is helping it shape towards value-based services. Until now, the payment that the patients were charged was based on the services they avail, instead of the care they receive. However, it is imperative to understand that healthcare is about saving lives and improving the quality of it. So, it doesn’t matter if a medical institution sees a thousand patients in a day if they are not able to provide value-based services to them. That’s the kind of shift that artificial intelligence is bringing to the realm of healthcare.
One of the most remarkable uses of artificial intelligence comes into picture when organizations implement predictive models for certain data. All one needs to do is give the model some data and brace oneself to witness the miraculous results received in the form of interpretations. For organizations, this is no less than a wonder, when they compare it to the number of human efforts and resources it would require in a lifetime to derive meaning from the abundantly present data.
Predictions made by artificially intelligent models do aid in decision making and a lot more. It helps organizations and institutions make data-backed decisions that are not just concrete but also reliable. But, this magic box of artificial intelligence where all one does is put the data and receive results, is a cause of worry to some.
Wouldn’t it be interesting if we knew the exact process of decision making by an artificially intelligent model? The underlying point is raising concern among many investors and clients who want to know the nuances behind the decision making of a computer. When humans arrive at decisions, they can explain step by step how they formulated a hypothesis for the existing problem and then inferred a solution from it. The same must apply to artificial intelligence if it will continue to make decisions in the future.
The Age of Explainable AI
As the demand for explanation keeps on increasing, researchers have found an apt solution to breaking down the complex process of decision making in artificial intelligence. Welcome to the age of XAI, the white box system of artificial intelligence that is bringing value to businesses and organizations all across the world.
The issue of explainability also arises from the demands of the European Union’s GDPR, which demands a sense of transparency when it comes to artificially intelligent decision making. But white box artificial intelligence brings a lot of perks to the table of technology. It quintessentially adds transparency which directly impacts the way people perceive the technology. When one finds the process clear, they can easily place their trust in it.
And that means less resistance to the adoption of artificial intelligence in various industries. This also helps in growing the end user’s trust and assists a technologically advanced business that customer trusts.
Artificial intelligence can have a multitude of benefits for an organization. While the age of black box AI is fading despite it helping organizations for the longest amount of time. The new white box AI is paving a road for more acceptance, reliability, and transparency in the future.
James Warner is a Business Analyst / Business Intelligence Analyst as well as experienced programming and Software Developer with Excellent knowledge on Hadoop/Big data analysis, testing and deployment of software systems at NexSoftSys.View James Warner`s profile for more