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Artificial Intelligence (AI) is a field of computer science aimed at creating machines that can mimic human intelligence, with types including Narrow AI, General AI, and Super AI. AI has applications in various sectors such as healthcare, finance, autonomous vehicles, and customer service, but faces challenges like ethical issues, security risks, and the need for regulation. The future of AI includes advancements in natural language processing, contributions to scientific research, and a focus on ethical development.

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19 views2 pages

Ict Note

Artificial Intelligence (AI) is a field of computer science aimed at creating machines that can mimic human intelligence, with types including Narrow AI, General AI, and Super AI. AI has applications in various sectors such as healthcare, finance, autonomous vehicles, and customer service, but faces challenges like ethical issues, security risks, and the need for regulation. The future of AI includes advancements in natural language processing, contributions to scientific research, and a focus on ethical development.

Uploaded by

chahinelayla920
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Artificial Intelligence (AI)


Definition:

Artificial Intelligence (AI) is a branch of computer science


focused on creating machines that can simulate human
intelligence. It enables systems to perform tasks such as
learning, reasoning, problem-solving, perception, and
language understanding.

Types of AI:

1. Narrow AI (Weak AI): AI designed for specific tasks, such


as voice assistants (Siri, Alexa) and recommendation
algorithms (Netflix, YouTube).
2. General AI (Strong AI): A theoretical AI capable of
human-like reasoning and decision-making across
different domains.
3. Super AI: A future AI that could surpass human
intelligence, raising ethical concerns about control and
safety.

Applications of AI:

 Healthcare: AI is used in medical imaging, disease


diagnosis, and robotic surgery.
 Finance: Fraud detection, stock market predictions, and
automated trading.
 Autonomous Vehicles: AI-driven cars improve road
safety and traffic efficiency.
 Customer Service: Chatbots and virtual assistants
provide instant support.
Challenges of AI:

 Ethical Issues: AI biases, privacy concerns, and job


displacement.
 Security Risks: AI can be exploited for cyberattacks and
misinformation.
 Regulation & Control: Governments are still figuring out
how to regulate AI responsibly.

Future of AI:

 More human-like interactions through advanced


natural language processing.
 AI in scientific research for drug discovery and climate
modeling.
 Ethical AI development to ensure fairness, transparency, and security.

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