Challenges and opportunities of Artificial Intelligence for Good

Ahead of the ITU Plenipotentiary Conference 2018 (PP-18) – the top policy-making body of the International Telecommunication Union, taking place from 29 October to 16 November in Dubai – ITU News is highlighting some important and emerging areas of ITU's work. The following is an ITU Plenipotentiary Backgrounder, the original can be found on the PP-18 website here. Software has become significantly smarter in recent years. The current expansion of AI is the result of advances in a field known as machine learning. Machine learning involves using algorithms that allow computers to learn on their own by looking through data and performing tasks based on examples, rather than by relying on explicit programming by a human.[1] A machine-learning technique called deep learning, inspired by biological neural networks, finds and remembers patterns in large volumes of data.