AI is here, and it’s changing the way that we interact with technology on a daily basis. Most of the time, we don’t even realize when it’s happening.
Welcome to DeepFace, Facebook’s facial recognition system. If you’re wondering why it’s called DeepFace, it’s because at its core, the system is based on a type of Artificial Intelligence (AI) called Deep Learning.
AI is here, and it’s changing the way that we interact with technology on a daily basis. Most of the time, we don’t even realize when it’s happening. As designers, it’s going to become increasingly important to not only understand the fundamentals of
1) First and foremost, it’s time to learn what AI is. While designers don’t need to create their own HAL 9000s just yet, a basic understanding of AI (in particular, the areas of Machine Learning and Deep Learning) will give you a huge advantage.
2) Once you’ve learned some of the fundamentals, it’s time to buddy up with your favourite data scientist. Similar to how digital designers collaborate continuously with front-end developers today, similar collaboration with AI specialists & data scientists will be the relationships of the future.
3) Design feedback loops are going to get shorter. As methods such as machine learning start providing designers with deeper and more precise insights, designs will need to respond and adapt more quickly. In the long run, this will also help speed up the time required, for example, to find the right product-market fit.
4) Designers will need to focus (even more) on asking “why?” The quantitative analytics & insights that come out of machine learning algorithms will help point designers in the right direction, but will rarely uncover underlying human
5) The world of AI just starting to open up new modes of interaction, and as designers, we need to catch up. Siri, Cortana, and Alexa are all
6) Finally, no article about AI would be complete without considering privacy. Privacy by design will continue to be more and more important as we create more immersive, dynamic, and personalized digital systems and applications. I’ve long considered how online learning courses could be improved if we enabled the cameras on users’ devices to detect a student’s current state of understanding and level of interest. If a student starts to tune out during a video lecture (there are plenty of well-documented facial cues that can be used to detect this), perhaps the lecture pauses, repeats a section or tries to explain the concept in a different manner. In a world where the microphones & cameras on our devices are on by default (in order to have the best user experience), a user’s privacy, and how we communicate that privacy, will become increasingly important.
It’s been about 10 years since the last major revolution in digital design took hold – mobile devices. Over the next 10 years, AI – and the insight it can deliver – will again radically change the role of designers in creating meaningful, engaging digital tools and systems.