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Flashcards · 9645 · A Level Topic 16
Artificial intelligence (A Level) flashcards
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Topic 16: Artificial intelligence
- When is a system often called artificially intelligent?
- There is no one accepted definition. A system is often called AI if it solves a complex problem using a method like a human's, or one at least as good as a human's, on problems once thought to need human intelligence.
- Narrow AI vs generally intelligent AI
- Narrow AI works in one field and is what exists and is widely used today. Generally intelligent AI would learn and reason across any field; it is an area of research only.
- What is a neural network?
- A network of nodes connected in a similar way to neurons in the brain. Each node takes weighted inputs and produces an output, in input, hidden and output layers.
- What is backpropagation?
- A training method in which the output error is passed backwards through the network and the weights are adjusted to reduce it.
- Deep learning vs machine learning
- Machine learning is a type of AI whose performance improves based on experience. Deep learning uses neural networks with several hidden layers, allowing more complex problems to be solved.
- A node gets inputs 0.6, 0.2 and 0.9 on weights 0.5, −1.5 and 0.8. What is the weighted sum?
- 0.30 − 0.30 + 0.72 = 0.72. With a threshold of 0.7 the node outputs 1.
- How does bias arise in an AI system?
- From the training data: if a group is under-represented, or the historical decisions in the data were unfair. Careful selection of data and testing each group separately reduce the risk.
- Give three benefits and three risks of AI
- Benefits: more consistent decisions; very large data sets analysed quickly; continuous availability; lower cost. Risks: job losses; bias; false information from bad training data; plagiarism; surveillance.