Definitions
The input text is broken down into words and sentences. E.g. "I".
What is Lexical Analysis?
RNN
What is Recurrent Neural Network?
The term for analyzing the grammatical structure of a sentence.
What is Syntactic Analysis?
The term for ensuring AI systems are transparent about how decisions are made.
What is Transparency?
A planet known as the "Red Planet".
What is Mars?
The sequence of activities that represents the longest path through a project, which determines the shortest possible duration.
What is Critical Path?
A type of neural network known for its self-attention mechanism.
What is a Transformer Neural Network?
Type of analysis in NLP that interprets meaning from a sentence in context.
What is Semantic Analysis?
The term for protecting sensitive user data in AI systems.
What is Data Privacy?
Author of Macbeth.
Who is William Shakespeare?
An AI system is tuned to rely too much on pre-existing beliefs or trends in the data. This can reinforce existing biases and fail to identify new patterns or trends.
What is Confirmation Bias?
Gate in an LSTM that determines what information to discard from the cell state.
What is the Forget Gate?
The five stages of Natural Language Processing.
What are Lexical, Syntactic, Semantic, Discourse, and Pragmatic analysis? (4 of 5 gets points)
This kind of bias occurs when old data fails to reflect current trends.
What is Historical Bias?
The country that gifted the Statue of Liberty to the United States.
What is France?
Information that's artificially manufactured not generated by real-world events.
What is Synthetic Data?
Hardware that is commonly used to train large language models.
What are GPUs or TPUs? (one correct answer gets points)
One bias that can occur when training datasets are linguistically homogenous.
What is Linguistic Bias?
A major challenge in using chatbots to provide advice in legal contexts.
What is Accountability?
The chemical symbol for gold.
What is Au?
Where the gradients used to update the network become extremely small or "vanish" as they are backpropogated from the output layers to the earlier layers.
What is a Vanishing Gradient?
Algorithm that is used by an RNN to adjust weights over time.
What is Backpropagation Through Time?
Technology that GPT-3 uses to understand and generate text.
What is the Self-Attention Mechanism?
In the case study, the ethical challenge of stopping the spread of false information.
What is Misinformation Prevention?
Year in which World War II ended.
What is 1945?