Final answer:
AI and data-driven technologies use probability to provide a model of belief about the likelihood of an event happening, primarily using a Bayesian approach. Option B is correct.
Step-by-step explanation:
How AI and Data-Driven Technologies Use Probability
Artificial Intelligence (AI) and other data-driven technologies utilize probability in various ways. One core method is through a Bayesian approach, which determines the likelihood of a hypothesis being true given the data. According to Bayes' theorem, this is calculated by the formula P(θ|x) = P(θ ∩ x) / P(x), where P(θ|x) is the probability of the hypothesis θ given the data x.
In practical applications, statistical models built within AI technologies estimate the likelihood of events occurring. These can range from weather predictions to medical diagnoses. For example, a meteorologist uses statistical models to predict the chance of rainfall, which is not certain but is indicated as a probability percentage. Similarly, AI in healthcare might predict patient outcomes based on historical data.
To answer the initial question, the correct choice is B: AI and data-driven technologies provide a model of belief about the likelihood of some event happening. They do not guarantee an event with 100% certainty, nor do they operate without input data.
They estimate probabilities to inform predictions and decisions in various fields, such as meteorology and healthcare.