Making Sense of the AI Landscape

As AI tools become more commonplace, many businesses find themselves playing catch up when it comes to incorporating these new systems into their existing infrastructure. And that's more than understandable -- these tools are highly varied, often poorly-understood, and they're constantly evolving. To start making sense of the AI landscape and determine how your business will need to adapt, the first thing to understand is that the term "AI" in fact covers a huge spectrum of different things. In a study presented in the forthcoming book Artificial Intelligence for Sustainable Value Creation, we mapped out how more than 800 different AI systems were being used across 14 industries. Based on our analysis, we found that these systems fell into four distinct categories: systems that complete rote tasks with limited ethical implications, systems that complete rote tasks that do have an ethical component, systems that complete creative tasks with limited ethical implications, and systems that require both creativity and ethical decision-making.