IB Computer Science Topic A4.4: Ethical Considerations Key Definitions

The property of a machine learning system whose outcomes do not depend on group membership such as sex, ethnicity or age.

A technology that overlays digital content such as images, sounds, or data onto the real-world environment, enhancing how users perceive and interact with their surroundings.

An unfair tendency for or against particular individuals or groups. In machine learning it is learned from patterns already present in the training data.

A possible consequence of a decision or action for someone's well-being, rights, fairness or freedom.

The seamless integration of artificial intelligence into everyday objects, environments, and systems, enabling them to continuously collect data, learn, and make intelligent decisions in real-time to enhance user experiences and automate tasks.

Uses quantum bits (qubits) and mechanical phenomenons of superposition and entanglement to perform operations, enabling unprecedented computational power.

A technology that generates fully immersive digital environments, allowing users to interact with and experience a simulated world that replaces or enhances their perception of the real world.