Are we witnessing the dawn of post-theory science? | Artificial intelligence (AI) | The... - 0 views
www.theguardian.com/...he-dawn-of-post-theory-science
machine learning artificial intelligence Science
![](/images/link.gif)
-
we’ve realised that artificial intelligences (AIs), particularly a form of machine learning called neural networks, which learn from data without having to be fed explicit instructions, are themselves fallible.
-
there may still be plenty of theory of the traditional kind – that is, graspable by humans – that usefully explains much but has yet to be uncovered.
- ...4 more annotations...
-
The theories that make sense when you have huge amounts of data look quite different from those that make sense when you have small amounts
-
The bigger the dataset, the more inconsistencies the AI learns. The end result is not a theory in the traditional sense of a precise claim about how people make decisions, but a set of claims that is subject to certain constraints.
-
“Explainable AI”, which addresses how to bridge the interpretability gap, has become a hot topic. But that gap is only set to widen and we might instead be faced with a trade-off: how much predictability are we willing to give up for interpretability?