Current Trends in Artificial Intelligence

These flashcards cover essential vocabulary terms related to current trends and ethical considerations in artificial intelligence.

Roboethics

Ethics concerning the moral behavior of humans towards artificially intelligent beings.

Machine ethics

Ethics addressing the moral behavior of artificial moral agents (AMAs) within legal and social frameworks.

Black box AI

An AI program that cannot explain its decision-making process.

Ethical AI

AI systems that are developed to perform tasks fairly and justly, without bias.

Generative Adversarial Network (GAN)

A machine learning model where two neural networks compete against each other to improve accuracy.

Biased Algorithms

Algorithms that produce skewed output due to inheriting biases present in the data used for training.

Service as a Service (AIaaS)

A model that allows businesses to access AI capabilities through services maintained by providers.

Autonomous robots

Robots that operate independently without human intervention.

Expert System

A computer program designed to solve complex problems by mimicking human expertise.

Inference Engine

The core component of an expert system that applies logical rules to the knowledge base to deduce new information.

Forward Chaining

An inference process that starts from known facts and applies rules to infer new facts.

Backward Chaining

An inference process that starts with a goal and works backward to prove if known facts support it.

Neuromorphic Computing

A type of computing that mimics the neural structure of the human brain to improve efficiency and processing.

AIoT

The integration of AI technologies with IoT infrastructure to enhance device efficiency and decision-making processes.

Data Privacy

The aspect of data governance that ensures personal data is collected, used, and managed responsibly.

Trustworthy AI

AI systems designed following ethical guidelines to ensure accountability and fairness.

Responsible AI

An AI system that operates transparently, justifiably, and human-centered while being unbiased.

Edge Computing

A distributed computing model that processes data near the source rather than relying on a centralized data center.

Feedback Learning

Learning based on the outcomes of actions and adjusting accordingly to improve performance.

IoT Malware

Malicious software targeting Internet of Things devices to exploit security vulnerabilities.