Match the ethical term with its correct definition in the context of using AI
The provided definitions are already accurately matched to their corresponding terms. Below is a structured breakdown clarifying how each concept applies directly to the responsible use of artificial intelligence.
Intellectual Property: The ethical and legal framework governing the ownership and rights associated with creative works, including those generated with AI assistance.
Application: This framework addresses who legally owns text, code, or artwork produced by generative models, and whether training those models on copyrighted internet data violates the rights of original human creators.
Algorithmic Discrimination: The potential for an AI’s output to unfairly disadvantage or misrepresent individuals based on their membership in a particular group.
Application: This occurs when historical biases embedded in training datasets cause an system to produce skewed, unfair, or exclusionary decisions in sensitive areas like hiring, lending, or grading.
Data Privacy: The principles and safeguards that protect a user’s personal and sensitive information when interacting with a digital service.
Application: This requires AI platforms to implement strict security protocols to ensure that private user inputs, personal emails, and proprietary corporate documents are never exposed or used to train public algorithms without explicit consent.