Encryption
This type of encryption is ideal for securing data on a hard drive due to its speed and efficiency.
Symmetric encryption
This discipline focuses on handling extremely large and complex datasets.
Big Data
This type of AI doesn’t need human-coded rules it learns on its own from data.
Modern AI
Traditional AI systems lack this capacity, which modern AI uses to adjust to data in real time.
Adaptability or learning capability
This specific AI paradigm allows models to continuously improve through exposure to new data without being reprogrammed.
Machine Learning/ ML
This cryptographic method allows two parties to communicate securely without ever having exchanged a secret key in advance.
Asymmetric encryption
This field uses AI to find hidden patterns and relationships in large datasets.
Data Mining
It performs best with clear, rule-based tasks like solving equations or playing chess.
Traditional
A core limitation of traditional AI is its inability to operate effectively without this kind of dataset.
Structured data
This is a key ethical concern with modern AI models trained on user data without explicit consent.
Data privacy
This symmetric encryption algorithm is widely used today and considered the gold standard for speed and security.
What is AES (Advanced Encryption Standard)
It’s an interdisciplinary field that combines methods to extract knowledge and solve problems using data.
Data science
This AI relies on structured and limited data to function properly.
Traditional
Traditional AI makes decisions using this kind of logic, often seen in flowcharts and basic expert systems.
If- then logic
This type of AI model can both understand and generate human language, and is used in tools like GPT.
Large language model (LLM)
This protocol ensures the security of data transferred between a web browser and a server by using encryption to protect sensitive information.
SSL
This process is typically done in batches and often used for fraud detection.
Data Mining
Chatbots like ChatGPT, recommendation systems, and image generators rely on this AI type.
Modern AI
Bet #___ Points
Give one example of a traditional AI model.
Modern AI is often evaluated not just by accuracy, but also by these three key aspects: fairness, interpretability, and ___.
Bias
This type of encryption ensures that only the intended recipient can read the message, even if it is intercepted during transmission.
End to end ecryption
It supports predictive analysis and decision-making through AI integration and real-time processing.
Data science
Double Points
Say five data points that artificial intelligence uses to generate accurate predictions or forecasts
Traditional AI can be used to identify _______ ______by analyzing patterns and deviations in data
fraudulent transactions
Generative AI models, like GPT and DALL·E, use this type of training that involves predicting the next piece of data in a sequence.
Unsupervised (or self-supervised) learning