Smarter AI

Design can be responsible for ensuring that AI is not just about functionality, but also about how it looks and feels. Professionals working in the field need to think about how AI can be used in various contexts, from voice interfaces, touch screens and even physical devices

Technology is part of our lives and has made our daily activities much more practical, as things we used to do, like paying bills at the bank or going to the supermarket, can now be done online.

The Covid-19 pandemic accelerated this process of developing new habits and consumption models, in addition to the need to adapt to them, to live more safely and comfortably. Companies that did not use technology in their routines began to use it, being forced to reinvent themselves to survive in an increasingly competitive market.

Artificial intelligence (AI) was already a technology used by society long before the pandemic, however, with all these changes in recent years it has had to evolve a lot to make our lives even easier.

AI enables the ability of machines to think like human beings, developing the gift of learning, reasoning, analyzing and logically deciding on facts, solving problems that, until then, could only be solved by humans. In other words, it can be considered as “machines that are intelligent”, which can make decisions independently, increasing the intelligence of the human being in general.

Based on digital data, AI needs to be constantly “fed” so that it can continue to learn and evolve, much like a person does. In a more optimistic view, this technology can multiply the rational capacity that the human being must solve problems, create situations, think about answers, and perform daily tasks, among others.

In today’s article, you will understand a little more about the principles of artificial intelligence and how design can help make AI more human.

How to make AI smarter

Surely, you’ve been through the situation of trying to solve a problem with your bank and/or telephone operator and have been going back and forth in a gibberish conversation with a “robot” that couldn’t understand you.

Nowadays, one of the players that can help solve this problem is the designer. It is his responsibility to ensure that Artificial Intelligence (AI) is not just about functionality, but also about how it looks and feels. Professionals working in the field need to think about how AI can be used in various contexts, from voice interfaces, touch screens and even physical devices.

At this point, designers gain a new assignment: thinking about how they can make AI more human. They will have to make sure that it is not only functional, but also that there is a connection between the machine and its user.

Therefore, they can be key actors in the development of AI by valuing a more user-friendly interface and facilitating human interaction with it, in addition to making AI more ethical, making it more transparent about its decisions and providing a better understanding of reality.

Designing the future: how to humanize AI

Design is a powerful force that can make or “destroy” an AI product. Designers can be responsible for a lot, from creating a simple and easy-to-use experience, to designing intuitive and natural interfaces, or creating products that are flashy, surprising, or even funny.

Designers and developers must work together to make AI more human-centric, so it feels less like a cold machine that presents answers without context or meaning.

This is because AI systems need to be able to communicate with humans in a way they can understand. To do this, designers will need to create interfaces that are intuitive and easy to use. These professionals can also help by designing the physical space these AI systems inhabit.

For example, if an AI system is designed to work inside a hospital, designers will need to design the environment in a way that does not confuse or distress patients. In other words, the result also considers the concern with the audience for which the technology is intended.

It is important to make it clear that design is the first step in implementing AI in a product. Therefore, professionals involved in this work need to be able to understand and think about how AI will affect their design.

In addition, understanding what data is being used by AI is essential to create a more effective design. For that, it is necessary to have knowledge about how the machine learning algorithm works, so that they can forecast any problems that may arise with it in the future.

AI must be designed in a way that is attractive and understandable to humans. This will make it easier for people to interact with AI and allow them to understand what they are doing. Designers can also help people feel less threatened by AI because they design the way humans interact with machines, and they also help make AI more human and easier to understand.

Thanks to the development of neural technology and data collection, as well as the increase in computing power, AI augments and streamlines many human activities, that is, used properly, intelligent machines can improve the results of products and services.

AI systems are getting better at recognizing patterns of behavior. They can respond with intuitive data based on user input, making them appear more natural.

AI and the user experience

User experience is one of the most important aspects of any product. It is what, in large part, defines the value and success of a product. AI must be designed in a way that provides the best possible user experience.

Even so, designing AI for the end user is a complicated task. Designers need to consider the needs of the user, as well as consider how they can make it more efficient for them.

An example of such a design would be to provide an AI assistant with a more engaging and fun personality than their counterparts.

That way, people won’t feel like they’re out of tune when talking to an AI assistant who just throws facts and figures without understanding human emotions or feelings.

So, designing AI for user experience means designers need to think about what people want and how they want their products to work.

They need to know what their users want and how they expect things to work out. Designers also need to think about how people interact with AI and whether AI is a tangible concept for its users.

More and more smartphones, as well as computers, appliances, and other machines, are employing AI to perform human activities autonomously. After all, with the use of this technology, machines are already capable of learning, perceiving, reasoning, deciding, and deliberating in a rational and intelligent way.

AI is so embedded in our lives that we often do not even realize that we are dealing with “robots”, but just look at areas such as medicine, transport, security, and entertainment to realize how much it is present in our routine.

The importance of AI

The importance of AI today is indisputable. If we consider the ability of intelligent machines to store and process a large amount of data, we conclude that it is no longer possible to live without AI.

AI plays the role of reasoning, deciding, and finding solutions to problems typical of humanity, for example: autonomous cars, self-service at supermarket checkouts and online customer service, etc.

So, AI makes processes more agile and effective, helps companies make better decisions, processes and analyzes a large volume of data. With data being processed by intelligent machines, which end up doing the “grosser” work, human beings can develop activities that require creativity and empathy, human qualities that a robot cannot supply.

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