Building AI for Good is necessarily starting with a clear vision in terms of analysis in defining what are the tasks that are best executed by Machine as oppose to tasks that are best executed by Human, while considering those that must be executed by Human, no matter what.
Our answers to this framework will more and more shape what’s next, not only in terms of new generation of competitive advantages, but more importantly, in terms of the society we aim at living.
Even if most of the time, when we think about Machine Learning, our mental model immediately goes to “us teaching the machine”, in the AI era, another angle will become more and more critical to explore: what can the machine teach us, to get better [at what we do] as Human?
Thanks for having me in the conversation.