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1. Generative AI
A subfield of artificial intelligence that focuses on creating new content, ideas, or solutions autonomously.
生成式 AI
一个人工智能子领域,专注于自主创建新的内容、想法或解决方案。
2. Deep Learning
A subfield of artificial intelligence that uses artificial neural networks to mimic human brain functions for learning.
深度学习
一个人工智能子领域,使用人工神经网络模仿人脑功能以进行学习。
3. Neural Network
A computer model inspired by the human brain, consisting of interconnected nodes or neurons.
神经网络
受人脑启发的计算机模型,由相互连接的节点或神经元组成。
4. GPT (Generative Pre-trained Transformer)
A type of generative AI model that can understand and generate human-like text based on given input.
GPT (生成预训练变换器)
一种生成式AI模型,可以根据给定输入理解和生成类似人类的文本。
5. Training Data
The data used to teach a machine learning model how to perform a specific task.
训练数据
用于教授机器学习模型如何执行特定任务的数据。
6. Fine-tuning
The process of refining a machine learning model's performance using additional data.
微调
使用额外数据优化机器学习模型性能的过程。
7. Natural Language Processing (NLP)
A subfield of artificial intelligence that enables computers to understand, interpret, and generate human language.
自然语言处理 (NLP)
一个人工智能子领域,使计算机能够理解、解释和生成人类语言。
8. Model
A mathematical representation of a system or process that can be used to make predictions or decisions.
模型
用于预测或决策的系统或过程的数学表示。
9. Bias
A systematic error in a machine learning model's predictions due to flawed assumptions or training data.
偏差
由于错误的假设或训练数据导致的机器学习模型预测中的系统性错误。
10. Hallucination
An output generated by a machine learning model that is not grounded in reality or input data.
幻觉
机器学习模型生成的与现实或输入数据无关的输出。
Handing in work you have completed with AI, without acknowledging that you have used an AI is academically dishonest.
Your teachers want to know which ideas are your own, and what words are your own, so that they can help you grow as a learner.
Pretending that work that AI has helped you to complete without letting your teacher know will mean that they will not be able to help you develop as a learner.
The examples below will depend on what your teacher has advised you, and will vary from assignment to assignment.
Acceptable (when allowed by your teacher)
Unacceptable
Brainstorming lines of inquiry that you had not previously considered
Generating text, images, video or music and pretending that it is your own work
Feedback / explaining errors
Writing an entire essay and pretending that it is your own work
Editing
Paraphrasing
Acting as your personal subject or language tutor
Using AI tools to improve language and grammar in language acquistion subjects
Doing some preliminary research on a new topic
Translating an essay when completing a bilingual diploma
Generating practice quizzes or flashcards to help you prepare for exams
Create flashcards
Summarising a long article
Helping to explain difficult concepts
Creating a study guide
Avoid sharing any personal or private information when using AI tools
VSA's Responsible Use Policy prohibits the use of VPNs at school, which are currently required to access ChatGPT
Respect the terms of use when signing up for AI tools. OpenAI's Terms of Use for ChatGPT state that "you must be at least 18 years old or have your parent or legal guardian’s permission to use the Services".
Your teacher may ask you to demonstrate how you have used AI in your work, and they may ask you to record this in a process journal. Make sure you note what sites and prompts you have used, bookmark useful websites, and take screenshots as necessary.
Try these prompts out in your favourite AI or use them to build your own bot. Modify and personalise them too!
When using generative AI, you need to be aware of possible bias, inaccuracy, and hallucinations.
Use your critical thinking skills to detect and question bias
Use your information literacy skills and lateral reading to verify accuracy
Use credible sources instead of quoting or paraphrasing text generated by AI
A hallucination is an output generated by a generative AI that is not grounded in reality. It is important to fact check any outputs produced generative AI.
Research shows that students who are feeling stressed and working to tight deadlines are more likely to use Gen AI in an academically dishonest way, leading to procrastination and reduced academic performance (Abbas et al.).
As a principled learner, you should always use AI ethically and responsibly. Whenever a teacher gives you an assignment, they will give you clear guidelines about how you may use AI to complete the assignment. Some assignments may allow the use of AI, and some may not. When submitting work, always cite any AI-generated content that you have used using MLA, just as you would with any other sources. Failing to do so goes against VSA's Academic Honesty Policy, and may have serious consequences.
If a teacher has allowed you to use AI tools when completing an assessment, you must also
Include in-text citations and references as needed.
For some assignments, your teacher may also require that you include an appendix describing what AI tools you have used and for what purposes. They may also require additional information to be included, for example, screenshots and prompts.
Abbas, Muhammad, et al. “Is It Harmful or Helpful? Examining the Causes and Consequences of Generative AI Usage among University Students.” International Journal of Educational Technology in Higher Education, vol. 21, no. 1, 1 Dec. 2024, https://doi.org/10.1186/s41239-024-00444-7. Accessed 14 May 2024.
"Robot Tutor, Dramatic Lighting” prompt. Midjourney, version 4, 28 Mar. 2023, www.midjourney.com.