A subfield of, or building block for, artificial intelligence (see Artificial Intelligence), machine learning is a problem-solving technique that trains a computer to identify new patterns. It implements various algorithms in a problem-solving process that includes data cleansing, feature selection, training, testing, and validation. Companies and government agencies increasingly deploy machine learning algorithms for tasks such as fraud detection, speech recognition, image classification and other pattern-recognition applications.
Want Europe to have the best AI? Reform the GDPR
Artificial intelligence is rapidly transforming the global economy and society. From accelerating the development of pharmaceuticals to automating factories and farms, many countries are already seeing the benefits of AI. Unfortunately, it is becoming increasingly clear that the European Union’s d...
Why old-school government procurement needs a rewrite for new AI tech
It is becoming clear that governments are bound to see a backlash when they do not engage the public in deals with tech vendors that affect public policy. “I remain of the opinion that we shouldn’t make public policy with a vendor, so this was a bad deal at the beginning and is still a bad deal tod...
The Privacy Expert’s Guide to AI and Machine Learning
This guide, published by the Future of Privacy Forum, explains the basics of artificial intelligence and machine-learning systems and addresses the privacy concerns and challenges associated with the implementation of these systems into new and existing products and services. Click To View (PDF) ...