Artificial Intelligence Concepts and Human-AI Collaboration

This set of vocabulary flashcards covers historical AI developments, the distinction between Generative and Agentic AI, neural network mechanics, and ethical considerations like the Chinese Room argument and bias.

What significant contribution did Claude Shannon's Theseus make to the field of AI?

It demonstrated early machine learning capabilities by solving mazes.

What is the significance of the Turing Test in AI?

It assesses whether a machine can exhibit intelligent behavior indistinguishable from a human.

What is a noted advantage of connectionism over symbolic logic in AI?

Connectionism can handle large, noisy data sets more effectively.

What is a major challenge faced by early connectionist models in AI?

They struggled with tasks that required understanding context or nuanced human behaviors.

How do large language models (LLMs) like GPT enhance AI's ability to process language?

By employing attention mechanisms to focus on relevant parts of the text.

Why are current generative AI systems described as 'powerful thinkers but limited actors'?

They lack the ability to take actions and coordinate across systems.

Which capability best distinguishes Agentic AI from Generative AI?

Executing actions and adapting plans over time.

Why did early automation systems fail, even though they could perform actions?

They broke when environments changed slightly.

In the SPAR framework for agentic AI, which component is primarily responsible for learning from outcomes?

Reflect.

As AI agents move to higher levels in the agentic AI framework, which factor becomes more critical?

Oversight and risk management.

Which of the following is an example of a non-intelligent action?

A computer executing a shutdown when the battery is low.

What is a defining characteristic of an intelligent machine?

It learns and adapts its behavior based on new data.

What captures the key difference between AI and Machine Learning?

AI focuses on mimicking human intelligence, while ML is one method used to achieve that goal by learning from data.

Which example illustrates AI without Machine Learning?

An old GPS device providing fixed routes based on pre-set maps.

What best describes the difference between unsupervised learning and supervised learning?

Unsupervised learning identifies patterns without labels, while supervised learning uses labeled data.

Which scenario is an example of unsupervised learning?

Grouping dating app users based on similarity in income, height, and attractiveness without predefined categories.

Why is recognizing digits easy for humans but challenging for computers?

Each digit can have vastly different pixel values while still representing the same number.

What is the function of the input layer in a neural network for digit recognition?

It holds the grayscale values of the pixels in the input image.

What does each neuron in the hidden layers primarily do?

Processes and transforms input data to detect patterns like edges or loops.

How does the output layer of the neural network function in digit classification?

It consists of 10 neurons, each representing a digit from 0 to 9, and the neuron with the highest activation is the predicted digit.

What role do weights play in a neural network?

They adjust how strongly neurons influence each other to detect patterns.

What is the main method by which ChatGPT generates text?

By predicting the next word in a sequence based on probabilities.

What happens if the 'temperature' setting in a language model like ChatGPT is set to 0?

The model will always pick the most likely next word.

What is a likely result of using a high 'temperature' setting in text generation?

More diverse and varied text outputs.

What is the primary function of embeddings in natural language processing (NLP)?

To represent words as numerical vectors.

How do embeddings benefit machine learning models when processing text?

By enabling models to recognize similar meanings between different words.

What is the primary role of an attention block in the transformer architecture used by ChatGPT?

To process input data by assigning different levels of attention to different parts of the input sequence.

How does ChatGPT 'understand' or process language?

By discovering implicit patterns in the training data.

What is a noted limitation of language models like ChatGPT?

They rely on statistical correlations, which may lack deep understanding.

What best describes the 'Centaur' model in human AI collaboration?

Humans and AI share tasks based on their strengths.

What best describes the 'Cyborg' model in human-AI collaboration?

Human and AI tasks are closely intertwined with continuous interaction.

What does John Searle's 'Chinese Room' argument primarily challenge?

The capacity of artificial intelligence to truly understand language.

What could be a consequence of the issues raised by the 'Chinese Room' argument?

Generating outputs that might be logically incorrect or contextually inappropriate.

What is a reason why criminal prediction AI might be problematic?

It can incorrectly label individuals as criminals based on facial features.

What does the failure of the chatbot Tay highlight about AI systems?

They need robust filters to manage interactions.

What are some strategies to reduce bias in AI-generated content?

Increase the size of the training data and introduce diverse datasets.

What does the failure to recognize diversity in AI-generated images suggest about the technology?

It may reproduce or amplify existing human biases.

What was the primary purpose of the Mechanical Turk?

To deceive spectators into believing that a machine could play chess.

What is the significance of the Turing Test in AI?

It assesses whether a machine can exhibit intelligent behavior indistinguishable from a human.