AI security blog

Case Study: Find out how Privately was able to increase their SDO performance measures, such as 80% reduction in real-world failures and 10x faster development cycles — from roughly 2 weeks to 2 days.

The promise these possibilities hold has put medical imaging in the lead of the race toward landing in hospitals. But that is not the end of the discussion…

Sounds like a lot of work? It used to be, but with the advent of artificial intelligence (AI) observability software, such assessments become as easy as training a new model.

Unforeseen data may be presented to the computer vision system during operation despite careful mitigation of datasets and shortcuts.

Nobel Prize-winning economist, Daniel Kahneman once remarked “by their very nature, heuristic shortcuts will produce biases, and that is true for both humans and artificial intelligence, but their heuristics of AI are not necessarily the human ones”. This is certainly the case when we talk about “shortcut learning”.

“Data is a reflection of the inequalities that exist in the world”. While this might be true, developers have great potential to curb bias in their computer vision systems.