Machine Learning, OSS & Ethical Conduct

"Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel, 1959).[1] Evolved from the study of pattern recognition and computational learning theory in artificial intelligence,[2] machine learning explores the study and construction of algorithms that can learn" or be trained to make predictions on based on input "data[3]" such algorithms are not bound by static program instructions, instead making their predictions or decisions according to models they themselves build from sample inputs. "Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms is unfeasible; example applications include spam filtering, optical character recognition (OCR),[5] search engines and computer vision." Machine learning is also employed experimentally to detect patterns and linkages in seemingly random or unrelated data. A robot must obey orders given it by human beings except where such orders would conflict with the First Law.