Currently, there are several types of Artificial Intelligence, but three are the most well-known and relevant.
The artificial intelligence (AI) AI has become a ubiquitous topic. It is talked about in the news, used in smartphones and discussed at discussion tables. However, despite its widespread use, there is a lack of deep understanding about what AI really means and the various ways it impacts everyday life.
If defined by the source itself, according to ChatGPTthe artificial intelligence (AI) AI is a branch of computer science that focuses on creating systems and programs capable of performing tasks that normally require human intelligence. These tasks include speech recognition, decision making, language translation, image recognition, and chess playing, among others. AI draws on various disciplines such as computer science, mathematics, logic, philosophy, psychology, neuroscience and engineering.
However, it is crucial to go beyond the definition and explore the different manifestations of AI and how they impact human life.
Currently, there are several types of AI, but three of the best known and most relevant are the following:
What are the types of Artificial Intelligence?
- Weak AI: This type of AI is tasked with specific tasks and does not learn beyond them. Some types of weak AI are image recognition, natural language processors, and image generators. Siri, Google Assistant, Alexa are forms of weak AI. They can understand voice commands and respond to them, but they cannot give accurate medical diagnoses.
- Reactive machines: They can only react to stimuli, such as the movement of a chess piece on a virtual board. They do not create memories that can be accessed in the future, as is the case with limited-memory AI machines, but they are useful components of digital life. Two examples of reactive machines are spam filters and recommendation systems that capture your behavior and make viewing or purchasing recommendations.
- Limited memory AIs: They can store information, learn from it, and use it to perform new tasks. This type of AI is useful for making predictions and is used to predict future trends in everything from finance to weather. It is the most common type of AI used today, appearing in chatbots and self-driving cars.
The impact of these types of AI on our daily lives is profound and multifaceted. Although often imperceptible, it has brought about significant changes: from spam filters that prevent inboxes from being flooded with unwanted emails to the personalized recommendations it offers. NetflixAI works quietly behind the scenes to improve the experience, revolutionizing even sectors such as customer service, medicine and automotive, offering increasingly precise, efficient and personalized solutions.
Biases in AI: a danger to consider
Without a doubt, the impact of AI is growing at an exponential rate, and with this growth comes the responsibility to ensure that it is used ethically and responsibly. It is crucial to be aware of the biases that may arise in its development or training and to take steps to mitigate its negative impact.
There are various strategies to reduce the negative impact of biases in AIThese include using diverse data in training systems and applying debugging techniques to identify and eliminate biases.
Understanding the multiple AI and its impacts is essential in the modern world. As this technology continues to advance, an ethical and responsible approach must be maintained to maximize its benefits and minimize its risks. Recognizing biases and actively working to reduce their impact will ensure that AI contributes positively to society as a whole.
BI and Digital Analytics Manager at CAT Technologies.
Source: Ambito
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