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1. Data Driven - Artificial Intelligence (AI) is a set of algorithms, or processes, that enable computers to mimic human intelligence or behavior. AI works by using data to create models, and then using those models to make decisions or predictions.
2. Scalability - AI should be able to scale up or down, depending on the complexity of the task or data. This means that AI should be able to handle larger datasets or more complex tasks without needing manual intervention.
3. Flexibility - AI should be able to adapt to changing conditions or data, and should be able to adjust its algorithms or models to suit new data or tasks.
4. Interpretability - AI should be able to explain its decisions or predictions, and should be able to justify them with data and logic. This helps to ensure that AI systems are trustworthy and understandable.
2. Scalability - AI should be able to scale up or down, depending on the complexity of the task or data. This means that AI should be able to handle larger datasets or more complex tasks without needing manual intervention.
3. Flexibility - AI should be able to adapt to changing conditions or data, and should be able to adjust its algorithms or models to suit new data or tasks.
4. Interpretability - AI should be able to explain its decisions or predictions, and should be able to justify them with data and logic. This helps to ensure that AI systems are trustworthy and understandable.