FREQUENTLY ASKED QUESTIONS
Tackling the common questions that inevitably turn into misconceptions about AI
DOES ARTIFICIAL INTELLIGENCE WORK LIKE A HUMAN BRAIN?
Although some forms of machine learning (ML) — a subset of AI — have been inspired by the human brain, they differ fundamentally in their scope and capacity. Image recognition technology, for example, is more accurate than most humans, but the artificial intelligence behind this, as well as various different applications, doesn’t transfer to the others and none of them could explain a broken heart to a teenager.The rule with AI today is that it solves one task exceedingly well, but if the conditions of the task change only a bit, it fails.
CAN AI BE CREATIVE?
Conscious creativity is often considered as an exclusively human privilege that a machine could never claim for itself.
In AI, this holds true for many supervised learning systems, where the model is used to predict an outcome based on an input, e.g., classifying an image. We also know that today’s AI systems draw their knowledge from their training data and/or experiences with the environment — so how can this be creative? Without extending this to a more philosophical question, one can argue that as humans, we get our creative ideas from combining different sources of inspiration. Some generative models today follow a similar logic, even when doing a particular task.
HOW DOES ML DIFFER FROM DATA SCIENCE?
Data Science is about extracting knowledge or insights from data in various forms. The word “Learning” in Machine Learning intends that ML algorithms learn from some data, used as a training set, to train and thus fine-tune some model or algorithm parameters. AI makes use of Data Science and Machine Learning to develop machine’s “Intelligence”.
Machine Learning can be seen as the link between Data Science and Artificial Intelligence.