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An Introduction to
Artificial 
Intelligence
How It Works, Where We See It, and Why It Matters
Page 2


An Introduction to
Artificial 
Intelligence
How It Works, Where We See It, and Why It Matters
C o n t e n t s
What is AI?
Key Components of AI
How AI Learns
Applications of AI
Limitations and Ethics
Page 3


An Introduction to
Artificial 
Intelligence
How It Works, Where We See It, and Why It Matters
C o n t e n t s
What is AI?
Key Components of AI
How AI Learns
Applications of AI
Limitations and Ethics
Artificial Intelligence (AI) refers to
computer systems or machines that are
designed to mimic human intelligence,
allowing them to perform tasks that
typically require human thought. 
These tasks include learning from data,
reasoning, solving problems, recognising
patterns, understanding language, and
even making decisions. 
What is AI?
Page 4


An Introduction to
Artificial 
Intelligence
How It Works, Where We See It, and Why It Matters
C o n t e n t s
What is AI?
Key Components of AI
How AI Learns
Applications of AI
Limitations and Ethics
Artificial Intelligence (AI) refers to
computer systems or machines that are
designed to mimic human intelligence,
allowing them to perform tasks that
typically require human thought. 
These tasks include learning from data,
reasoning, solving problems, recognising
patterns, understanding language, and
even making decisions. 
What is AI? AI works using algorithms and models,
like machine learning, which help it
improve and adapt over time without
needing constant reprogramming.
You’ve probably interacted with AI in
everyday life—whether through virtual
assistants, streaming platforms that
suggest what to watch, or systems that
make decisions automatically to save
time and effort.
Page 5


An Introduction to
Artificial 
Intelligence
How It Works, Where We See It, and Why It Matters
C o n t e n t s
What is AI?
Key Components of AI
How AI Learns
Applications of AI
Limitations and Ethics
Artificial Intelligence (AI) refers to
computer systems or machines that are
designed to mimic human intelligence,
allowing them to perform tasks that
typically require human thought. 
These tasks include learning from data,
reasoning, solving problems, recognising
patterns, understanding language, and
even making decisions. 
What is AI? AI works using algorithms and models,
like machine learning, which help it
improve and adapt over time without
needing constant reprogramming.
You’ve probably interacted with AI in
everyday life—whether through virtual
assistants, streaming platforms that
suggest what to watch, or systems that
make decisions automatically to save
time and effort.
Brainstorm all the ways you already interact with AI in your daily lives...
AI is all around us...
Read More
13 videos|46 docs|26 tests

FAQs on PPT: Introduction to AI - Computer & Robotics for Class 1

1. What is artificial intelligence and how does it differ from traditional computing?
Ans.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Unlike traditional computing, which follows predefined instructions and processes data in a linear fashion, AI can analyze data, recognize patterns, and make decisions based on information learned from experiences. This allows AI systems to adapt and improve over time, making them more versatile compared to traditional computing systems.
2. What are the main types of artificial intelligence?
Ans.The main types of artificial intelligence are categorized into three groups: narrow AI, general AI, and superintelligent AI. Narrow AI is designed for specific tasks, such as voice recognition or image processing. General AI, which is still largely theoretical, would have the ability to perform any intellectual task that a human can do. Superintelligent AI would surpass human intelligence and capabilities, raising significant ethical and safety concerns.
3. How has AI evolved over the years?
Ans.AI has evolved significantly since its inception in the mid-20th century. Early developments focused on basic problem-solving and rule-based systems. The introduction of machine learning in the 1980s allowed systems to learn from data. In recent years, advancements in deep learning and neural networks have further accelerated AI capabilities, enabling breakthroughs in natural language processing, computer vision, and autonomous systems.
4. What are some real-world applications of artificial intelligence?
Ans.Artificial intelligence has a wide range of real-world applications. It is used in healthcare for predictive analytics and personalized medicine, in finance for fraud detection and algorithmic trading, in transportation for self-driving cars, and in customer service through chatbots and virtual assistants. Additionally, AI is utilized in industries like manufacturing for process optimization and in entertainment for content recommendation.
5. What are the ethical concerns surrounding artificial intelligence?
Ans.Ethical concerns surrounding artificial intelligence include issues of bias, privacy, job displacement, and accountability. AI systems can inadvertently perpetuate biases present in training data, leading to unfair outcomes. There are also concerns about how personal data is used and protected. The potential for AI to replace jobs raises economic implications, and the question of who is responsible for AI-driven decisions adds another layer of complexity to the ethical discourse surrounding technology.
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