What is artificial intelligence and how does it work? (Intermediate level)
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What is artificial intelligence?
Artificial intelligence (AI) means that computer programs can perform tasks that normally require human intelligence, such as understanding language, recognizing images, or making decisions.
Classification of applications
Analyze the digital applications listed in the table. Explain whether they are adaptive artificial intelligence or classic computer programs.
| Application | AI? Yes | AI? No | Reason |
|---|---|---|---|
| Social Media Content Moderation | |||
| Email Spam Filtering | |||
| Photo Editing Software | |||
| Online Shopping Recommendations | |||
| Voice Assistants |
Visualization of how it works
Represent the three-step process of artificial intelligence (data collection, pattern recognition, application) described in the text graphically in the form of a flowchart.
How does artificial intelligence work?
Artificial intelligence works in three simple steps. First, it collects data. The AI receives a lot of information, such as images, text, or numbers. This is called training data. Second, it learns or recognizes patterns. The AI looks for similarities and differences. For example, it recognizes that cats often have whiskers and pointed ears. Lastly, it applies or decides. When new data arrives, the AI uses its learned knowledge and makes a decision. For example, it might conclude, "This image probably shows a cat." Through these steps, AI systems develop the ability to perform tasks that typically require human intelligence, like visual perception, speech recognition, decision-making, and language translation. The effectiveness of AI depends on the quality and quantity of its training data, as well as the complexity of its algorithms, allowing it to continuously improve and adapt over time.
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Application of the three-step model
Match the practical examples below to the corresponding phases of the AI learning process.
| Description | Step |
|---|---|
| The AI receives thousands of images of dogs and cats. | |
| A new image is uploaded and the AI says, "This is a cat." | |
| The AI notices that cats often have whiskers and pointed ears. | |
| After learning, the AI provides an answer or recommendation. | |
| A computer stores lots of text, photos, and numbers. | |
| AI compares characteristics and searches for differences between animals. |
Analysis of the case study
Evaluate the case study.
- What tasks does AI perform and what specific characteristics does it need to recognize?
- Explain what user data the system needs in order to continuously improve its responses.
- Discuss the limitations of AI technology mentioned in the text.
The Role of AI in Autonomous Driving
In the realm of everyday transportation, autonomous driving represents a significant advancement, where vehicles operate independently without human intervention. AI in autonomous cars functions as the vehicle's brain, perceiving surroundings, interpreting data, and executing driving decisions. It collects real-time information through sensors and cameras, enabling the vehicle to navigate safely, recognize traffic signals, detect pedestrians, and make real-time decisions to enhance road safety. Autonomous vehicles utilize deep learning algorithms, notably Convolutional Neural Networks (CNNs), to process vast amounts of data and identify patterns in traffic, road conditions, and obstacles. These systems employ machine learning techniques, both supervised and unsupervised, to refine their decision-making processes by learning from labeled datasets and independently identifying patterns. Despite their sophistication, AI in autonomous driving is not flawless; systems may grapple with biases from training data, leading to potential misinterpretations of road signs or pedestrian movements. Such errors underscore the necessity for ongoing refinement and human oversight to ensure safety and efficiency in autonomous vehicle operations.
Development of optimization proposals
Create a brief optimization concept. Suggest at least two specific measures that AI could use to reduce misunderstandings in everyday life and increase the recognition rate.
Development of optimization proposals
Create your own school AI
Imagine you are a team of developers tasked with inventing artificial intelligence for your school. This AI should help students or teachers in their everyday lives. Form groups of up to 4 people.
1. Develop the idea
Think together about which problem in everyday school life your AI should solve.
Think about situations such as homework, timetables, learning, organization, or communication.
2. Plan how it will work
Now think about how your AI would work.
Every AI needs data and must be able to recognize or decide something.
3. Consider problems and improvements
AI is not perfect. Good developers always consider what could go wrong and how to make it better.
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