Artificial Intelligence (ai)

Artificial Intelligence (ai)

Definition of AI

Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (gaining information and rules for using it), reasoning (applying rules to reach conclusions), and self-correction. AI is applied in various fields, such as natural language processing, robotics, and computer vision.

TYPE OF AI

Weak AI (or Narrow AI)

Strong AI (or General AI)

• Voice recognition (Siri, Alexa)
• Recommendation systems (Netflix, Amazon)

Narrow AI excels in specific tasks. It powers applications like voice recognition and recommendation systems.

• Ability to learn in various domains.
• Ethical and social challenges.

General AI has the ability to learn, understand, and apply knowledge. It raises ethical and social implications.

MACHINE LEARNING

Reinforcement Learning

Unsupervised Learning

Supervised Learning

Uses labeled data for classification and regression tasks.

Finds patterns in unlabeled data through clustering.

Trains agents to make decisions in an environment.

AI in the World of Work.

Process Automation

AI creates new job opportunities. Skills like data analysis and programming are in demand.

New Opportunities

Automating routine tasks can increase efficiency. It comes with advantages and disadvantages.

Key Skills

Critical thinking skills are essential for the future workforce. This includes problem-solving skills.

The Ethics of Artificial Intelligence.

Algorithmic Bias

Preventing and mitigating biases in algorithms.

Transparency

Ensuring transparency and explainability of AI.

Responsibility

Defining responsibility for AI decisions.

The Future of AI

Quantum AI

Explainable AI

Generative AI

Creating original content.

Interpreting AI decisions.

Enhancing AI capabilities.

THANK YOU

BY IANNUCCI GIANLUIGI