There is nothing new about the tech industry overhyping its latest developments, as eager proponents seek to raise awareness, along with investment dollars and – ultimately – revenue. And in 2017 it has been AI’s turn to experience the hype treatment. But while hyping a new tech can lead to unmet expectations in the short term, it can also serve to overshadow some much-needed debates that might be vital in the long term. Such debates are likely to prove critical for AI, where the possible outcomes truly do lie in the realm of the unforeseeable.
Hype in AI has been the first subject for a series of blog posts I’ve been asked to create for Institute of Analytics Professionals Australia, in support of its upcoming Advancing Analytics conference, taking place in Melbourne on October 18. I’ll do my best to post the rest up online, but you can check them out here as they are posted online.