5 in 5: Top 5 future predictions for AI

AI of Things    11 December, 2018

Welcome to the 4th instalment of 5 in 5. This week we will dive into the top 5 future predictions for Artificial Intelligence (AI). As we have seen previously, AI has the potential to increase performance in many areas of business, as demonstrated by 5 of the biggest companies in the world who are already leading this technological revolution. 

2018 has been a big year for AI, with many firms not only realising its potential, but also acknowledging the needs of ever-evolving markets. We know that extreme planning and care is needed to implement and teach the software, but what will be the result of this meticulous construction? 

Briefly, Artificial Intelligence is the fundamental application of the ideology of creating a computer that is capable of solving a complex problem in the same way a human would.

Experts have articulated that in 2019 (and for many years to come), AI will continue to be a booming breakthrough in our world. They say that the advances we can to expect exceed any imaginings we have previously had.

1) Rise of AI assistants 

Simply defined, assistants are AI-programmed smart robots that understand natural language and help us complete tasks. Many of us interact with this technology through Apple´s Siri and Amazons´ Alexa without fully realising the technology we have at our fingertips.

We already use these AI assistants for a multitude of tasks, from paying our bills to writing emails; and the future looks set to implement this technology in more areas of our lives, including our cars. Kia and Hyundai have already planned to include AI assistants in their vehicles in 2019, capable of understanding colloquial expressions in 23 languages.

With advances such as MovistarHome, people are already welcoming AI into their homes, allowing for more personalized responses, with the hope of building an understanding relationship between man and machine. As it learns, the AI will be able to give more individualised responses as voice recognition software is able to identify different voices and recall past experiences with each user. It is said that by 2025, we will be talking to and interacting with nearly all of our devices, from our cars to our refrigerators.

2) AI will create more jobs that it will eliminate

Many conflicting opinions exist around whether or not AI will make human jobs redundant. But a recent finding suggest that by 2020, 2.3 million jobs will be created, compared to the reduction of 1.8 million of these.

It is commonly predicted that AI will prove to change the nature of jobs in certain sectors, rather than making humans redundant. However, industries that have already seen a sharp decline in employment due to the automation of tasks, such as manufacturing, will take a big hit in the future. Sectors where the human input is invaluable such as medicine and education will experience a shift in the skills demanded and the way in which they will carry out their work.

As is the nature of change, a knock-on effect will happen where the needs of the AI will require the creation of new jobs. It has been predicted that in 10 years we will be doing jobs that do not even exist yet. The most common conclusion is that most jobs will be a combination of human and artificial intelligence. It is already being used in the world of medicine with doctors to help increase accurate diagnosis, with Harvard researchers reporting that diagnostic accuracy increased from 96% to 99.5% when using AI. We will expand upon this human-AI collaboration now.

3) Further evolution of machine and human interaction 

In the past, many understood AI as robots that would carry out mundane and automated tasks. The reality of today is that business are starting to look at AI as an extension of their business, working to enhance their relationship with the machines for the benefit of the company.

The potential of AI in sectors such as retail is incredible; the human brain is simply unable to remember details of all customers, but AI has this power. In the future it is said that we will likely be buying most of our items from AI. What the human brains lack in efficiency and consistency, AI makes up for, and vice versa, what AI lacks in cognition and initiative, humans make up for. This amplification of our cognitive strength gives us the potential to far extend our physical capabilities.

The responsible use of AI falls to humans, it is up to us to train, explain, and sustain their successful use and avoid harm to humans.

4) Autonomous vehicles will be ever-present 

We have seen examples of self-driving cars already in the market, with Google having already entering the market. Ford is set to release true self-driving (no human input required) cars by 2021, investing $1 billion in Argo AI.

By the time Japan will host the Summer Olympics in 2020, Honda hope to have cars that can drive themselves on motorways in full force. Overall, the industry is expected to witness a significant number or self-driving vehicles on the roads by 2020.

We must consider that the success of these predicted advances will be subject to changing regulation, liability concerns are rife when machines self-operate in potentially dangerous environments. Even with these concerns, it is highly likely that we will be able to hail an autonomous vehicle on our streets within the decade.

5) AI will be common place in medicine

Medical technological advances are taking place every day. We have already seen how AI can dramatically increase success rates in IVF patients, thanks to the use and availability of Big Data and AI, and market growth looks to reach $1.7 billion by 2019.

We will see, once again, this human-AI partnership. One of the most valuable assets doctors have, other than their expertise, is empathy, a trait that AI is yet to possess (and we don´t know what the future will hold for AI and empathy). AI stands to catch errors that may occur by the human hand, as it has the ability to objectively work through millions of patient data to determine diagnosis.

Perhaps the most promising medical AI prediction is that it can help with the diagnosis, and eventually treatment, of rare conditions. The configuration of AI will allow them to draw from each other´s insights, catch each other’s mistakes or anomalies, and come  up with innovative fixes.

In the surgical world, AI will be able to provide real-time information to surgeons, including MRI scans, patient history and a visual division of regions of the brain

Neil Jacobstein, Chair of the AI and Robotics Track at Singularity University, has stated that “AI allows us to do things that humans just couldn’t do before, like consider your entire genomic profile before making a recommendation.”

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