Our hope is to use this comprehensive review to explain AI to an audience of politicians, opinion leaders, and interested observers, and to show how AI has changed the world and raised important questions for society, the economy, and governance.

Challenges that AI will face

Nonetheless, in a world increasingly predisposed to technological innovation, there are already concerns that AI is already being applied to decision-making processes, which may have negative consequences.

Below are the challenges that can potentially arise in the use of AI:

• Dangerous Investments For several years now, a heated debate has raged regarding the ethical implications of AI and how to regulate it.
• AI systems, which often learn from experience, may one day overrule existing laws and morals. As the prevalence of AI spreads, so too will the impact of its decisions on the real world.
• Faulty ML and AI Another significant challenge are that while today’s AI is impressive in its ability to learn, it lacks the ability to think critically.

The internet of things

The industry trend has seen the rise of “the internet of things” (IoT) with the seemingly exponential growth of connected devices that increasingly gather data to improve the way in which a variety of industries operate. One such IoT-driven industry is banking and financial services. Today, AI is now widely used in such industries to ease operations and provide customer experience.

However, there are many challenges that will face this new age of banking.

AI in the workplace

IT departments are continuing to build and implement AI in their workplace initiatives, as reported in a recent survey. These efforts are being undertaken by organizations of all sizes, and while many businesses are still learning about the technology and its potential, others are getting a better understanding of how it works and what it can do for them. The survey results indicate that even though the use of AI has started to emerge in many business situations, its future is still far from guaranteed. 

AI and the military

Most military agencies are now using AI to improve their arsenal of military weapons and to improve the outcome of their military actions. This use of AI was thrust to the fore after Russia recently publicly stated that their military agencies will incorporate AI within their arsenal by 2027.

As Russia is the largest nuclear power in the world, this move had the military cognoscenti examining the implications of AI for warfare and the future of nuclear weapons. One of the early adopters in the military application of AI is Russia. So far, over 20 military AI systems have been developed, and some of them have already been introduced in active service.

These military systems are being used to collect, analyze and disseminate information in the interests of the Russian military.

AI and the medical field

One of the latest AI-enabled medical breakthroughs is the development of a device that could speed up the recovery of stroke patients. Called the Neurological Assist Device (NAD), this lightweight robot, fitted with a flexible scalp electrode and neck connector, uses an advanced artificial intelligence system to study a patient’s brain signals and simulate a 12-month-long seizure.

Once it has simulated a seizure for a certain period of time, it connects to the patient’s machine and applies an electric current that helps the patient recover.

Currently, the NAD device has already been successfully tested in Switzerland, but the health ministry of Switzerland is not expected to approve the device until December 2019.

AI in warfare

AI is making headlines and has already been at the heart of the biggest conflicts in history. The AI Arms Race is making itself felt, with the power to produce weapons that are able to predict our movements, covertly eliminate our enemies and even predict our movements.

Vinod Nair, Head, Corporate, Middle East, India, and Africa, IBM, shares his views on the challenge that Artificial Intelligence has to face. With so many artificial intelligence technologies, what can one do that one cannot do? There are as many definitions of AI as there are of machines. However, the one that tends to be generally agreed upon is that AI systems will work intelligently alongside humans in a variety of domains.

AI and the environment

Despite the potential of AI and its impact on our lives, it is not without challenges. AI uses data to improve itself and make increasingly complex predictions about the future. This means that many of the problems it is confronted with are purely academic, too vast in nature to be solvable by humanity alone. In fact, solving these AI-specific challenges is in some respects a kind of capstone to AI research.

For instance, research for the Large Scale Visual Analytics challenge, which aims to develop an AI-enhanced system to identify dangerous wildfires, has recently wrapped up.

The system’s accuracy was 86%, which fell short of the researchers’ target of 90%. However, in other cases, research is advancing toward solving fundamental problems in the field.

Conclusion

In this article, we have discussed the top AI challenges that we should all be aware of to make sure that the benefits of implementing AI systems outweigh the risks and challenges. Do you think you can overcome the challenges listed above? Let us know in the comments below.

The post What Artificial Intelligence Challenges Will Shape The Future first appeared on AITechTrend.

No matter what sort of app you’re building, you need to be prepared for the future of how people will interact with your software. With the billions of apps already available on the market, the ability to present an experience that lasts longer connects to more parts of the world, and is continuously adapting to user feedback should be a given in today’s day and age. AR will definitely be a huge force in how we interact with devices moving forward, but how can developers prepare for the shift? Not to mention that augmented reality applications have a high chance of ending up on retail shelves within the next few years, giving you an opportunity to get in early to a market that will have a long-term demand for your solution.

How AR is used in retail

The majority of shoppers use AR technology to enjoy videos and images from their favorite websites. Examples of shopping websites that are using AR are VSCO, Pinterest, Etsy, and Google. 3D Shopping. Take a look at the Fashion Nova eCommerce website. The website takes users step-by-step through the clothing options that are available. This example of 3D Shopping allows for the users to be able to visually see what the shoes look like, how they will look on their feet, and the price tag. Know of a great AR/VR/MR startup?

How AR can be used in retail

In some retail businesses, a simple way to use AR is to provide customers with a personal shopper. When a customer enters a store, a staff member will give them a digital hand which allows them to place their phone on the table and pick an item they like. When they look at it, it becomes magically real. When it comes to travel, for instance, the location and time of the flight are changed and overlaid onto the customer’s mobile phone. By having an app with GPS information, the customer can easily see the best route to get to the airport, flight information and confirmation number and most importantly, the time remaining to check-in. There are a number of more clever ways to use AR in the travel industry.

Conclusion

It is easy to get excited about the possibilities of Augmented Reality. But there are numerous challenges and limitations to keep in mind. But with a little effort, you can create a more engaging customer experience that will result in more sales.

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