Over half of Americans aged 18-29 use a smartphone when job hunting, whether to browse roles or send resumes. But JobFlare offers a different way to search and apply for a career, using gamification to learn a person’s strengths and interests, then matching them up with personalised listings.

Rather than relying on coded data sets to solely inform AI’s decisions, Google is letting its AI learn by watching humans’ facial expressions. By familiarising it with people’s emotions, Google’s technology is making users comfortable by weaving emotional intelligence into its thinking systems.

LinkedIn’s partnership with recruitment agency Hays will see user data fed into new AI projects aimed at predicting when a person will be receptive to a new job offer. As data personalisation disrupts recruitment, ethical concerns complicate the run-up to this next tech tipping point.

Over 70% of people fear AI in some way, with 24% worried it will take over the world. Canvas8 spoke to Tom Chatfield, author ofCritical Thinking, to find out how we can create AI that won’t jeopardise our liberty, and to understand how human biases influence machine programming.