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Artificial Intelligence was born in the 1950s with the first studies on machines capable of simulating human thought. Today it is used in many sectors thanks to techniques such as machine learning and neural networks.

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Healthcare: Automated diagnostics and virtual assistance.

Transportation: Autonomous vehicles and route optimization.

Finance: Algorithmic trading and fraud detection.

Commerce: Personalization and chatbots for customer service.

Industry: Automation and predictive maintenance.

Education: Personalized learning and automated assessments.

Security: Intelligent surveillance and crime prevention.

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Artificial intelligence can play a crucial role in sustainable development, contributing in various ways to solving environmental, economic and social challenges.

Resource optimization: energy, water, materials.

Agriculture: efficiency, pesticide reduction.

Environmental monitoring: climate change, pollution.

Transportation: emissions reduction, traffic optimization.

Waste management: recycling improvement.

Circular economy: reuse, recycling.

Emergencies: disaster forecasting, resource management.

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What's a Chatbot?

A chatbot is a computer program designed to simulate human conversation, using natural language. It can interact with users through text or voice, answering questions, solving problems, or performing specific tasks.

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Type of Chatbot

There are many chatbots, developed for various purposes and used in different industries. It is not possible to determine an exact number, but some of the most popular and popular include:

ChatGPT (OpenAI) - Chatbot based on generative artificial intelligence.

Siri (Apple) - Voice assistant integrated into Apple devices.

Alexa (Amazon) - Voice assistant for Amazon devices, such as Echo.

Google Assistant - Google's voice assistant for Android devices and smart speakers.

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Pro Automation: Increase efficiency, reducing costs and repetitive work.

Improve decisions: Analyze large amounts of data to support better decisions.

Innovation: Drive advances in medicine, transportation, and other areas.

Personalization: Adapt services to individual needs, improving the user experience.

Disability support: Improve accessibility with advanced technologies.

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Unemployment: Automation can replace jobs, especially in manual roles.

Bias: Algorithms that reflect biases in data can cause discrimination.

Loss of control: AI can make autonomous decisions without supervision.

Privacy and ethics: Risks related to the use of personal data and surveillance. Security:

Risks related to the use of AI in cyberattacks and deepfakes.