Artificial Intelligence (AI) aims to create machines controlled by computers or software that mimic human cognitive functions (intelligence) such as learning, problem-solving, logical reasoning, perception or understanding natural language. It encompasses various types, each with distinct functionalities:
Reactive AI
Responds to specific input with always the same output, without learning from past experiences. Examples of reactive AI are autonomous robotic vacuum cleaners.
Predictive AI
Analyzes data to predict future events or behaviors, looking for patterns in data collected from users. Examples of predictive AI are the personalized recommendation systems in platforms such as Amazon, Netflix or Spotify, where products are suggested based on user’s preferences.
Generative AI (GenAI)
GenAI is a type of AI that has the capability to generate new content. It refers to algorithms or models that have been trained on large sets of existing data so that they can create text, images, code, and other forms of content. GenAI models learn to recognize patterns in the training data and build predictive models based on this learning. You can further refine the generated content by providing feedback to the AI tool, or by editing your original prompt to meet your specific needs. Examples of GenAI tools are ChatGPT, Copilot or MidJourney.
While GenAI can be highly beneficial, it is important to acknowledge the ethical concerns and risk considerations associated with its incorrect use.