Summary: Artificial General Intelligence (AGI) is the long sought after'brain' that brings together all the branches of AI into a general purpose platform that can perform with human level intelligence in a broad variety of tasks. For starters, the incremental gains in partial AI represented by deep learning and robotics have bigger money and bigger companies behind them and more close-in applications. However, it's unlikely we could find a single human able to master every single economically important job so perhaps we can declare victory when the AGI can master one or more jobs if not all. Inductive reasoning makes broad generalizations from specific observations.

Even more concerning, researchers have shown that completely random nonsense images can be misclassified by CNNs with very high confidence as objects recognizable to humans, even though a human would clearly recognize that there was no image there at all (e.g. If those system observations are intentionally tainted with noise designed to defeat the CNN recognition, the system will be trained to make incorrect conclusions about whether a malevolent intrusion is occurring. Adversarial Machine Learning is an emerging area in deep neural net (DNN) research. The current state of AI has advanced to general image, text, and speech recognition, and tasks like steering the car or winning a game of chess.

Report on the Third Conference on Artificial General Intelligence

Report on the 2nd International Conference on Artificial General Intelligence (AGI-09)