Unit 6 VocabularyQuiz

Which statement best defines Artificial Intelligence (AI) as presented in the vocabulary?

• Computer systems that execute only pre-written rules without adaptation

• The development of computer systems that perform tasks requiring human-like intelligence, such as learning from data and recognizing patterns

• A single algorithm designed solely to sort labeled images

• Hardware upgrades that increase processing speed without changing software

What sparked the AI Boom described in the vocabulary?

• A decline in computing power and limited datasets

• A period beginning in the 2000s driven by increased computing power and vast amounts of data

• The invention of personal computers in the 1980s

• A reduction in internet usage and fewer data sources

Which option correctly distinguishes Supervised Learning from Unsupervised Learning?

• Supervised uses unlabeled data; Unsupervised uses labeled data

• Supervised relies on labeled datasets with correct answers; Unsupervised works with unlabeled data to find patterns

• Both require labeled datasets with predefined outputs

• Neither uses datasets; both rely on rule-based programming

According to the vocabulary, Narrow AI (Weak AI) is best described as:

• An AI capable of general reasoning across all domains

• An AI designed and trained for a single, specific task and unable to operate outside its function

• A system that learns without any data

• An AI that exclusively manages large datasets without learning

Machine Learning (ML) is defined in the vocabulary as a subfield of AI where systems:

• Are explicitly programmed for every scenario without using data

• Learn from data rather than being explicitly programmed for each scenario

• Only recognize patterns in labeled images

• Operate solely on rule-based logic

Large Language Models (LLMs) are characterized by their ability to:

• Manipulate hardware components directly

• Understand, generate, and interact with human language using a model trained on massive text and code

• Perform only numeric calculations without language processing

• Operate exclusively on small, curated datasets

In the vocabulary, Bias in AI refers to:

• Random errors that occur due to hardware faults

• A limitation where models learn and perpetuate biases from biased training data, leading to unfair outcomes

• The tendency of algorithms to always prefer newer data

• A process ensuring equitable results across all groups

What are AI hallucinations according to the vocabulary?

• When an AI refuses to answer due to lack of data

• When an AI generates incorrect or nonsensical output and presents it as factual

• A feature that creates realistic images from text prompts

• A security mechanism that hides sensitive information

Job Displacement by AI is primarily a concern because AI may:

• Reduce energy consumption in data centers

• Automate and displace workers, especially in repetitive or data-heavy roles

• Create more managerial positions than technical roles

• Eliminate all forms of manual labor immediately

Which issue is highlighted under Ethical Concerns in AI?

• Guaranteed transparency in all AI decisions

• The "black box" problem, accountability for mistakes, and the potential for autonomous weapons

• Elimination of all biases due to perfect datasets

• Mandatory human oversight for every AI output