AI Governance Key Terms

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Questions and Answers

Match the following terms with their definitions:

LLM = A model with a large number of parameters, trained on enormous datasets, and used for text prediction. Machine learning = A subfield of AI where algorithms learn from data to make decisions or predictions. Machine learning model = A representation of underlying patterns in data created by applying AI to a training set. Misinformation = False content that is unintentionally misleading.

Match the term with its function or characteristic:

LLM = Can be used as generative or discriminative Machine learning = Implements algorithms that learn by experience Machine learning model = Used to make predictions on unseen data Misinformation = Can be spread via deepfakes

Match the following concepts with their descriptions:

LLM = Its size is measured by the number of model parameters Machine learning = A problem-solving process with stages like data collection and testing Machine learning model = Created from a training dataset Misinformation = Can be created by those who lack intent to cause harm

Match the following terms to their related actions or roles:

LLM = Predicts text based on learned word probabilities Machine learning = Used for applications like fraud detection Machine learning model = Learns from training data Misinformation = Lacks the intention to cause harm Signup and view all the answers

Match the concepts to their association with AI or data:

LLM = Falls under the umbrella of generative AI Machine learning = A subfield of AI Machine learning model = Learns patterns and relationships in data Misinformation = Lacks intent to harm Signup and view all the answers

Match each term with their corresponding output or application:

LLM = Outputs text predictions Machine learning = Provides inferences and recommendations Machine learning model = Performs tasks on unseen data Misinformation = Results in misleading content Signup and view all the answers

Match the following concepts with their corresponding category or usage:

Bootstrap aggregating = Machine learning technique Classification model = Machine learning algorithm Clustering = Unsupervised learning method Compute = Resource for AI tasks Signup and view all the answers

Match the following terms with their primary role in developing or evaluating AI systems:

Conformity assessment = Evaluating compliance to standards Contestability = Allowing challenges to AI decisions Corpus = Collection of text data Human-in-the-loop = Involving humans in AI processes Signup and view all the answers

Match the following with what they process or produce:

LLM = Processes word sequences Machine learning = Processes input data Machine learning model = Produces predictions or tasks Misinformation = Produces false or misleading content Signup and view all the answers

Match each term with their method of creation or learning:

LLM = Learns from training data Machine learning = Learns iteratively from input data Machine learning model = Created by applying AI algorithms Misinformation = Created through means such as deepfakes Signup and view all the answers

Match the following AI governance terms with their definitions:

Transformer model = A neural network architecture that learns context and maintains relationships between sequence data. Transparency = A broad term that implies openness, comprehensibility and accountability in the way AI algorithms function and make decisions. Signup and view all the answers

Match these AI and machine learning concepts with their descriptions.

Hallucinations = Generated nonsensical content in AI models Impact assessment = Evaluating effects of AI deployment Inference = Applying a trained AI model to new data Interpretability = Understanding how an AI model makes decisions Signup and view all the answers

Match these concepts with their function in AI development:

Input data = Data used as the initial point for machine learning Large language model = A deep learning model using very large amount of text or code Machine learning = AI approach enabling systems to learn from data Transfer learning model = Reusing of model from one task to another Signup and view all the answers

Match the following terms related to AI system operation with their associated descriptions:

Transformer model = Leverages the technique of attention, i.e., focusing on the most important and relevant parts of the input sequence. Transparency = May refer to the extent to which information regarding an AI system is made available to stakeholders. Signup and view all the answers

Match the following terms to the data context or method they relate to:

Semi-supervised learning = Learning method which combines labeled and unlabeled data Small language models = Language models with fewer parameters Supervised learning = Learning from labeled data Synthetic data = Artificially generated data used for training ML models Signup and view all the answers

Match these AI concepts with their specific role in natural language processing (NLP):

Transformer model = Comprehends the meaning of a word in the context of the whole sentence by attending to surrounding words. Transparency = Disclosing if AI is used through techniques like watermarking when dealing with language-based outputs. Signup and view all the answers

Match these components with their use:

System card = Documents the performance of an AI system Testing data = Data used to evaluate an AI model's performance Training data = Data used to train an AI model Transformer model = Neural network architecture processing sequences Signup and view all the answers

Match each AI governance principle with its function in the development process:

Transformer model = Aids in improving model accuracy in sentence comprehension tasks. Transparency = Refers to maintenance of technical and nontechnical documentation across the AI lifecycle. Signup and view all the answers

Match these AI-related terms to their common applications:

Chatbot = Conversational AI interface Computer vision = AI systems that understand and interpret images Human-centric AI = Development focused on human values and needs Input data = Data used to create outputs Signup and view all the answers

Match the following AI terms with their respective aspect of application:

Transformer model = Used in language learning tasks to improve model performance. Transparency = Explaining how the model works through model or system cards. Signup and view all the answers

Match the following concepts in AI and Machine Learning:

Bootstrap aggregating = Method for improving prediction accuracy Corpus = Structured text collection for analysis or training Contestability = Ability to challenge decisions made by an AI Conformity assessment = Verification that an AI system meets expectations Signup and view all the answers

Match the terms related to AI accountability with their mechanisms:

Transformer model = Uses attention mechanisms to better understand input sequences Transparency = Supports auditability of the AI system through documentation. Signup and view all the answers

Match the following AI model aspect with its related accessibility practices:

Transformer model = Focuses on critical parts of textual input via attention. Transparency = In open-source context, refers to making the source code publicly accessible Signup and view all the answers

Match term with its related focus in AI governance and application:

Transformer model = Enhances ability of AI to correlate words with one another in a given document Transparency = Ensuring AI system activities and outcomes are easy to comprehend. Signup and view all the answers

Match the following terms with their correct definitions related to Artificial Intelligence:

AI assurance = Includes conformity, impact, and risk assessments of AI systems. AI audit = Review and assessment of an AI system to ensure it operates as intended and complies with relevant laws. AI governance = System used to manage, oversee and regulate the development of AI technology Algorithm = Set of rules designed to perform a task or solve a particular problem Signup and view all the answers

Match each term with its focus in AI discussions:

AI audit = Focus is to identify risks and offer mitigation strategies in AI. Algorithm = Focus is the specific approach to solving a computational problem AI governance = Focus is the implementation, management, and oversight of AI. AI assurance = Focus is on ensuring AI systems are tested and compliant Signup and view all the answers

Link each concept with its related activity or characteristic in AI:

AI assurance = Activities include certifications and testing. AI audit = Involves identifying and mapping risks in an AI system. AI governance = Oversees the development, deployment and use of AI technology Artificial general intelligence = Possesses strong generalization capability to achieve goals Signup and view all the answers

Match the following terms to their application or nature related to AI technology:

AI governance = Helps manage risks to ensure responsible and ethical AI development. Algorithm = A set of rules to perform the task in AI. AI audit = It can map risks and offer mitigation strategies. Artificial general intelligence = Considered as theorethical field of research Signup and view all the answers

Match terms related to AI with their specific attributes:

AI assurance = Ensures compliance with relevant standards through various mechanisms AI audit = Verifies the operation of an AI system against guidelines AI governance = Includes laws, policies and frameworks at various levels Artificial general intelligence = It is contrasted with narrow AI Signup and view all the answers

Pair each term with its main purpose within the context of AI:

AI assurance = Ensures AI operates as intended and complies with relevant standards. AI audit = To identify risks and offer mitigation strategies AI governance = To regulate the use of AI towards objectives Algorithm = To perform a specific task Signup and view all the answers

Match each term with a descriptive phrase that best defines it:

AI assurance = A comprehensive system to evaluate AI system behavior and compliance AI audit = A process to check and ensure AI systems are operating correctly AI governance = Structures that manage AI technology Artificial general intelligence = The goal of developing AI to perform a variety of tasks at a human level Signup and view all the answers

Match the following terms with their explanations:

Bias = Systematic prejudice in favor of a group. Automated decision-making = Process of making decisions by tech without humans. Bootstrap aggregating = Method that aggregates multiple model versions. Classification model = Model designed to sort input data into different categories. Signup and view all the answers

Match the following AI terms with their core functions:

Artificial intelligence = Field of simulating intelligent systems. Chatbot = Uses natural language processing. Bootstrap aggregating = Making a model more stable. Classification model = Sorts data into classes. Signup and view all the answers

Match the type of model with their purpose

Bootstrap aggregating = Improves model stability using subset of dataset Classification model = Sorts data into categories. Bias = Systematic deviation from the truth. Automated decision-making = Decision making without human involvement. Signup and view all the answers

Match the technology to key characteristic:

Artificial intelligence = May include automated decision-making. Automated decision-making = Process that uses tech rather than humans in process. Bootstrap aggregating = Method that strengthens model accuracy. Classification model = Used to sort data. Signup and view all the answers

Match the following model to its description

Bootstrap aggregating = Can improve stability and accuracy of the model. Bias = Can be sourced through selection of data. Classification model = Takes input and sorts into different classes. Chatbot = Uses natural language processing. Signup and view all the answers

Match the following term to it's function

Bias = Can lead to discrimination. Automated decision-making = Uses technology to make decisions. Chatbot = Responds to text or speech. Artificial intelligence = Includes machine learning. Signup and view all the answers

Connect the AI terms with their related activities or goals:

Reinforcement learning = Training an algorithm to play a video game by trial and error. Reliability = Consistency in performance, making a system predictable. Robotics = Programming robot arms in an assembly line. Robustness = Maintaining accurate function with changed inputs Signup and view all the answers

Match each AI methodology with the type of challenge it addresses:

Reinforcement learning = Optimizing decision making in dynamic environments. Reliability = Ensuring accurate prediction. Robotics = Physical interaction of AI with the real world. Robustness = Defending systems against unexpected attacks. Signup and view all the answers

Match the following concepts related to AI with their specific features:

Reinforcement learning = Utilizes feedback mechanisms of rewards and penalties. Reliability = Consistent and accurate system performance. Robotics = Combines AI systems and software to interact with the physical world. Robustness = Ability to withstand security threats Signup and view all the answers

Associate the AI concept with what it helps improve:

Reinforcement learning = Improving decision-making through trial-and-error. Reliability = Improving prediction on unseen data. Robotics = Improving AI interaction with the physical world. Robustness = Enhancing an AI system's security and resilience. Signup and view all the answers

Connect the terms with its function:

Reinforcement learning = AI learns through interactive experiences. Reliability = Ensures accuracy and consistency. Robotics = Enables AI to have a physical presence. Robustness = Protects against security breaches. Signup and view all the answers

Match the following terms to related applications:

Reinforcement learning = Training an autonomous vehicle. Reliability = Ensuring output is accurate and works as intended. Robotics = Automation in manufacturing plants. Robustness = Resilience and security of an online transaction system. Signup and view all the answers

Connect the concept with the goal:

Reinforcement learning = AI learns to achieve a defined objective guided by feedback. Reliability = Ensuring an AI system consistently performs its function. Robotics = Enables AI interaction with physical devices. Robustness = Making AI systems secure against attacks or failures Signup and view all the answers

Flashcards

Large Language Model (LLM)

Models that predict text based on probabilities of word sequences from training data.

Generative Models

Models that make text predictions based on learned word sequence probabilities.