Enhanced Quality of Life and Smart Living

Before an intelligent machine can be of help, it has to understand us. There is nothing more frustrating than negotiating with a machine that does not recognize our request, or that misunderstands our intent. Machine learning models and algorithms depend upon data analytics. Data analytics is biased toward dominant patterns, not outliers. People with disabilities and other minorities are outliers. Artificial intelligence has been heralded as a promising technology to assist individuals with disabilities. Intelligent machines have been envisioned as personal assistants, companions and smart environments to remind, prompt, guide, alert to risk and assist with daily functions. More urgently, intelligent machines are making a host of important decisions that affect our lives from predicting loan and credit worthiness, academic potential, terrorist intent, to future employment performance. Before the promise can be fully realized, and the prejudice averted, we must train our machines to be inclusive. This will benefit everyone. Intelligence that understands diversity and stretches to encompass the outliers is better at predicting risk and opportunity, more capable of processing the unexpected, more adaptable, and more dynamically resilient. Machine Learning for Image Processing in Healthcare