Glossary of Terms

Glossary of Terms

Academic Integrity

Adherence to ethical and scholarly principles in all academic work, ensuring work is original and properly credited, especially in the context of using Gen AI.

AI Insights

A series of approved information sheets, online learning modules and webinars intended to provide further guidance on the use of Gen AI tools.

CEDoW Endorsed Gen AI Tools

Specific Gen AI tools or platforms that have been tested and approved by CEDoW for data security and privacy, allowing for the use of internal CEDoW data, including PII, with caution. See Appendix 1 for a list of CEDoW-endorsed Gen AI tools and how to access them.

Copyrighted Data

Material protected by intellectual property laws, which must not be used as input in non-endorsed Gen AI tools.

Deepfake

Synthetic media in which a person in an existing image or video is replaced with another person’s likeness, often created using Gen AI and prohibited for harmful use.

Ethical Implications

The moral principles and issues that arise from the use of Gen AI, including fairness, bias and potential harm.

Fairness, Equity and Inclusivity

The principle that Gen AI must be used in ways that avoid bias and discrimination, and promote equal access for all students.

Fundamental Staff Use

The lowest-risk category of Gen AI use by staff, requiring basic Gen AI literacy and scrutiny (for example, creating basic prompts and checking for inaccuracies).

Gen AI Advisory Committee (CEDoW)

The committee established to approve guidance, information sheets, and webinars ("AI Insights") on the use of Gen AI tools across the system.

Gen AI Literacy

The knowledge, skills and understanding required for staff and students to use Gen AI tools effectively, ethically and safely, applying appropriate professional scrutiny.

Generative AI (Gen AI)

A type of artificial intelligence capable of creating new content (text, images, code etc.) in response to prompts.

Hallucination

When a Gen AI model produces false, inaccurate or nonsensical information, presented as factual.

Indirect Personal Identifying Information (PII)

Data that, when combined with other available information, can be used to identify an individual (for example, school name and year level).

Internal CEDoW Data

Non-public data belonging to CEDoW.

Large Language Model (LLM)

The underlying machine learning model that powers many Gen AI text-based tools, trained on vast amounts of data.

Personal Identifying Information (PII)

Information that can be used to directly identify an individual (for example, name, address, phone number or student ID).

Professional Scrutiny

The careful and expert review, verification and application of professional judgment to Gen AI outputs to ensure quality, accuracy and ethical use.

Prompt

The input (text, image or data) provided by a user to a Gen AI tool to request a specific output.

Risk-Based Approach

A framework for evaluating Gen AI use based on the potential impact on students, guiding the level of required caution and professional scrutiny.

Rome Call for AI Ethics

A 2020 document supported by the Vatican advocating for an ethical approach to AI development and use.

Work Sample

An example of student work used, often alongside rubrics, for training or testing Gen AI tools that inform evaluation or grading.