About predicting the future - how AI will transform our lives

#artificialintelligence 

While some forecasts will probably get at least something right, others will likely be useful only as demonstrations of how hard it is to predict, and many don't make much sense. What we would like to achieve is for you to be able to look at these and other forecasts, and be able to critically evaluate them. The political scientist Philip E. Tetlock, author of Superforecasting: The Art and Science of Prediction, classifies people into two categories: those who have one big idea ("hedgehogs"), and those who have many small ideas ("foxes"). Tetlock has carried out an experiment between 1984 and 2003 to study factors that could help us identify which predictions are likely to be accurate and which are not. One of the significant findings was that foxes tend to be clearly better at prediction than hedgehogs, especially when it comes to long-term forecasting.