AI has become increasingly more pervasive in our everyday life. Many benefits are leaping forward in terms of scientific progress, human well-being, economic value, and the possibility of exploring solutions to major social and environmental problems. Nonetheless, such a commanding technology also raises some concerns, such as its capability to make imperative decisions in a manner that individuals would perceive as ethical issues.

Machine learning implements algorithms to parse data, learn from that data, and make informed decision choices based upon what it has learned. Deep learning structures algorithms in layers to generate an artificial “neural network” that can learn and make intelligent decision choices on its own. Deep learning can be viewed as a subfield of machine learning. While both fall under the broad category of AI, deep learning is typically what is the motivator for most human like AI.

The Throughput Model’s six dominant algorithms can help explain how AI learns with better data governance. Moreover, some organizational issues will have AI solutions that will necessitate training data that organizations may not have available. Nonetheless, novel and augmented machine learning and deep learning techniques can enable AI to construct its own data based on a few samples. They can also transfer models from one task with a great deal of data to another one that lacks data. AI can oftentimes synthesize its own training data by using techniques such as reinforcement learning, active learning, generative and adversarial networks. Simulations established on probabilities can also produce “synthetic” data that can be implemented to train AI.

In summary, AI technology is not the end but only a means towards effectiveness and efficiency, improved innovative capabilities, and better opportunities. Further, we have witnessed the employment of AI in several industries that have begun to adopt these systems into their operations. Moreover, AI. Will also become smarter, faster, more fluid and human-like thanks to the inevitable rise of quantum computing. Quantum computers will not only solve most of life’s most thorny problems and ambiguities pertaining to the environment, aging, disease, war, poverty, famine, the origins of the universe and deep-space exploration, etc. Lastly, it may eventually power all of our AI systems, acting as the brains of these super-human machines.