3 factors hindering the democratization of artificial intelligence

by bold-lichterman

Technology is everywhere. In our agendas, our homes, our hobbies and even our relationships. For more than 20 years, we have lived at the frenetic pace of technological innovations. First with the arrival of the internet, then social networks and now artificial intelligence. GAFAs invest heavily in cognitive technologies.

JOAQUIN PHOENIX as Theodore in the romantic drama "HER," directed by Spike Jonze, a Warner Bros.  Pictures release.

Today, the movie HER, which describes the love story between a human and an artificial intelligence, looks less and less like science fiction.

Still, the reality looks a little different. The democratization of cognitive technologies seems slower than expected. Even though Siri can plan the time needed to get home in the evening, Google Assistant organize your day, and Cortana notify you when an Amazon order has been delivered, these uses still find it very difficult to fit into our daily lives. recurring and lasting.

Advances in machine learning and deep learning will play a key role in the emergence of image recognition technologies. Benefits for the user: no more endless evenings classifying photos, identifying the places where they were taken and possibly retouching them. The machine will do it for you. To see the power of this techno, try Google Quick Draw.

By extension, the volumes of data amassed over the years by States are gradually revealing their secrets thanks to artificial intelligence. Cognitive innovations in biometrics open up endless perspectives on the monitoring and knowledge of populations. To the point of asking questions about the respect of fundamental rights of privacy.

Tomorrow, taxis will no longer need drivers, planes will become drones, subways and buses will be autonomous and robots will invade stores to advise or serve you. At the supermarket, a pocket sommelier will advise you on the wine that will go perfectly with your Yule log. Progress in the miniaturization of electronic components will make it possible to create ever more powerful and ever smaller computers or nano-robots, which will nestle in your pocket, in your watch or… in your eyes.

What you don’t realize is that artificial intelligence is already present in our daily lives without us necessarily knowing it. And this phenomenon tends to accelerate.

Despite everything, it still lacks this “je ne sais quoi” that will cause AI to colonize the uses of the general public and occupy a prominent place in our daily lives.

The example of chatbots is revealing. We only talk about them. In fact, they still have everything to prove. Large companies and brands have understood this well. For several months, they have been investing in these tools which will revolutionize customer relations. Everything has to be done. Everything remains to be created. Especially around the user experience and use cases.

This prompts us to ask ourselves a few questions.

If we’ve been to the moon for so long, why isn’t my watch able to book a restaurant table yet? If planes have been using autopilot for decades, why do I still have to turn the wheel of my car?

thomas-sabatier

We can identify 3 main factors that slow the adoption of artificial intelligence by the greatest number.

1. The brain shortage

The great revolutions were carried by men. Artificial intelligence suffers from a lack of specialists capable of innovating, iterating and pushing its limits.

Few universities offer training dedicated to AI, artificial neural networks, machine learning and similar fields. We simply do not yet have a large enough research community to meet the many challenges posed by artificial intelligence.

2. Too much hype, kill the hype …

Chatbots abound on our messaging services. However, most do not yet go beyond gadget status. The potential of technology is immense, but misused, it becomes incidental. It is the duty of the eco-system to evangelize the market and to convince by offering fluid and value-creating experiences. Break down myths and propose solutions to concrete problems. This is the way we still have to go so that chatbots can one day replace apps or websites.

Artificial intelligence must allow us to go further than what we are doing today. For example, to improve medical diagnosis by modeling masses of data impossible to analyze by the human brain, facilitate access to justice by making the law less haphazard and more readable, improve our productivity to increase our free time, take load time-consuming tasks with low added value, …

3. Resistance to change

But let’s be honest. Humans have a naturally strong propensity to refuse change, whatever it may be.

Despite being “good for us”, change takes time. The tool must convince by making itself indispensable. But it is also essential to make it usable. So adapted to humans. And not the reverse.

How long did it take us before making our first purchase on the internet or to trust an online bank?

Let’s be honest, artificial intelligence scares as much as it fascinates. And science fiction does not help us on this issue. Robots have already exceeded human intelligence in many anticipatory scenarios (editor’s note I. Robot with Will Smith). It is by putting itself at the service of Man that artificial intelligence will gain its letters of nobility.

Imagine living in a world where you can plan a trip taking into account your past experiences, without worrying about the quality of service. Imagine going out to a restaurant and enjoying food that meets your tastes and allergies. Imagine browsing the internet only coming across content that interests you.

What if our universe becomes conscious and is able to fully understand us and adapt to us in real time? This world is not so far away. He’s just waiting for you to walk in …

thomas-sabatierThomas sabatier is the co-founder and CEO of The ChatBot Factory, an agency specializing in the development of conversational applications. He is also an associate director at BIGMITCH, a digital innovation consulting agency. He started his career in e-commerce, before joining a consulting firm as Key Account Manager.

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