PART B: PRIVACY AND AI ANALYSIS AND REFLECTION
B 部分：隐私和人工智能分析与反思
OVERVIEW
概述
This assignment is about developing your understanding of how personal data, AI, and privacy connect in today's world. You will use your own experience as a window into these bigger issues.
这项作业旨在加深您对个人数据、人工智能和隐私在当今世界如何联系的理解。您将利用自己的经验作为了解这些更大问题的窗口。
STRUCTURE/FORMAT
结构/格式
You should submit a written assessment in PDF format with all of the components below addressed. You may structure the assessment into sections based on Component 1, 2, 3, 4, 5, 6 and 7, but you SHOULD NOT provide an assessment that is just your responses to the questions asked below. The questions are designed as prompts to encourage you to think about specific aspects of your experience. This assessment is not a question/answer format.
您应该提交一份 PDF 格式的书面评估，其中包含以下所有内容。您可以根据第 1、2、3、4、5、6 和 7 部分将评估分为几个部分，但您不应提供仅回答以下问题的评估。这些问题旨在作为提示，鼓励您思考您的经历的具体方面。此评估不是问题/答案的形式。
WORD COUNT
字数统计
(3,600 word +/- 10%)
（3,600 字 +/- 10%）
WEIGHT
重量
60% of your unit score
单位分数的 60%
GENERATIVE AI USE
生成人工智能的使用
Generative AI is permitted in the assessment provided the following conditions are met:
如果满足以下条件，则可以在评估中使用生成式人工智能：
You reference all output used in your assessment (see ‘REFERENCING REQUIREMENTS’ below)
您引用了评估中使用的所有输出（请参阅下面的“引用要求”）
You provide a truthful and fulsome AI declaration following the requirements set out under ‘Component 7’ of the ‘TASK DESCRIPTION’ below.
您按照下面“任务描述”的“第 7 部分”中规定的要求提供真实、完整的 AI 声明。
REFERENCING REQUIREMENTS
参考文献要求
You should reference all materials you draw upon in this assessment using a consistent referencing style e.g. APA, AGLC, MLA or another of your choosing. It does not matter what you use, as long as you use it consistently. If you are using Generative AI you must reference all output that has been generated from, or which draws from Generative AI output, so make sure you use a referencing style where there are clear instructions on how to cite GenerativeAI output. See for example the following guidance for MLA https://style.mla.org/citing-generative-ai/ and for APA https://apastyle.apa.org/blog/how-to-cite-chatgpt
您应该使用一致的参考风格（例如 APA、AGLC、MLA 或您选择的其他风格）来参考您在本次评估中使用的所有材料。使用什么并不重要，只要坚持使用即可。如果您使用的是 Generative AI，则必须引用从 Generative AI 输出生成或引用的所有输出，因此请确保使用引用样式，其中有关于如何引用 GenerativeAI 输出的明确说明。例如，请参阅以下 MLA https://style.mla.org/citing-generative-ai/和 APA https://apastyle.apa.org/blog/how-to-cite-chatgpt指南
DUE DATE
到期日
11.55pm 20th January, 2025 via the Assessment Tab in the unit Moodle.
2025 年 1 月 20 日晚上 11 时 55 分，通过 Moodle 单元中的“评估”选项卡。
EXTENSIONS AND SPECIAL CONSIDERATION
延期和特殊考虑
Short extensions and special consideration are available for this task. See the instructions for applying here. Unit staff cannot approve extensions, so if you approach us to ask for an extension, we will have to refer you to the link above.
此任务可以使用简短的扩展和特殊考虑。请参阅此处的申请说明。单位工作人员无法批准延期，因此，如果您联系我们要求延期，我们将不得不向您推荐上面的链接。
TASK DESCRIPTION
任务描述
Component 1: Mapping Your Digital Footprint (Excluded from Word Count)
第 1 部分：绘制您的数字足迹（不包括在字数统计中）
Start by compiling an inventory of the data you share digitally and with whom. Think about:
首先编制一份您以数字方式共享的数据以及与谁共享的数据清单。想一想：
Social media interactions (likes, comments, shares, posts)
社交媒体互动（点赞、评论、分享、帖子）
Online shopping (browsing history, purchases, wishlist additions)
在线购物（浏览历史记录、购买、添加愿望清单）
Entertainment choices (streaming services, music platforms)
娱乐选择（流媒体服务、音乐平台）
Communication (emails, messaging apps, video calls)
通讯（电子邮件、消息应用程序、视频通话）
Health and fitness tracking
健康和健身追踪
Location data (maps, check-ins, delivery services)
位置数据（地图、签到、送货服务）
Professional tools (productivity apps, workplace platforms)
专业工具（生产力应用程序、工作场所平台）
Smart home devices
智能家居设备
Banking and financial applications
银行和金融应用
Educational platforms
教育平台
Present this information in whatever format makes the most sense to you:
以对您最有意义的任何格式呈现此信息：
A detailed spreadsheet with timestamps
带有时间戳的详细电子表格
A visual mind map showing connections
显示连接的视觉思维导图
An illustrated journey through your day
一天的图解之旅
A timeline of interactions
互动时间表
This isn't just about listing what apps you use – it's about understanding the complex web of data you create every day and what it means for your privacy.
这不仅仅是列出您使用的应用程序，而是了解您每天创建的复杂数据网络以及它对您的隐私意味着什么。
If you're a heavy social media user or someone who interacts with lots of digital services daily, focus on documenting a single 12-hour period. If you use technology more moderately, track your interactions over a week to get a representative sample. Start by listing as much as you can remember. Think about data that is captured about you not just by the things you actively opt into, such as apps, but also data that’s collected about you when you go shopping etc. This part should be fairly comprehensive. You don’t need to list everything, but you should consider the broad range of interactions you have with the systems you use, that collect data about you.
如果您是社交媒体的重度用户或每天与大量数字服务交互的人，请重点记录单个 12 小时的时间段。如果您比较适度地使用技术，请跟踪一周内的互动以获得具有代表性的样本。首先列出您能记住的尽可能多的内容。不仅要考虑通过您主动选择的事物（例如应用程序）捕获的有关您的数据，还要考虑在您购物等时收集的有关您的数据。这部分应该相当全面。您不需要列出所有内容，但您应该考虑与您使用的系统进行的广泛交互，这些系统收集有关您的数据。
Component 2: The AI Perspective (Approximately 500 words)
第 2 部分：人工智能视角（约 500 字）
Put yourself in the position of an AI system analyzing your data trail. What does it know about you, and what could it infer based on what it knows? Consider not just the data you share directly, but the data that it might be able to gather via the permissions you’ve set on your phone.
将自己置于人工智能系统的位置，分析您的数据轨迹。它对你了解多少？根据它所了解的信息，它可以推断出什么？不仅要考虑您直接共享的数据，还要考虑它可以通过您在手机上设置的权限收集的数据。
Depending on how heavy your use is, you can choose to focus on a single area of data sharing (e.g. social media apps, web-browsing), a single device (your phone, your tablet/ipad, your laptop, your fitness watch), or a single area of activity (shopping online/offline, study, entertainment, staying connected with friends). If you decide to narrow down your analysis then it should be detailed. If you decide to provide a broader analysis, make sure that it is not too superficial.
根据您的使用量，您可以选择专注于数据共享的单个区域（例如社交媒体应用程序、网络浏览）、单个设备（您的手机、平板电脑/iPad、笔记本电脑、健身手表） ，或单一活动领域（线上/线下购物、学习、娱乐、与朋友保持联系）。如果您决定缩小分析范围，那么分析应该更加详细。如果您决定提供更广泛的分析，请确保它不是太肤浅。
Consider what does your data reveal about your:
考虑一下您的数据揭示了您的哪些方面：
Behavioural patterns
行为模式
Social connections
社会关系
Personal characteristics
个人特点
Physical world behaviours
物理世界行为
Socio-Economic Status
社会经济状况
When considering the information you share and patterns that this information reveals, you should consider whether the systems you share data with have access only to the system you give it via that tool or application, or whether it also offers other products that you interact with? For example, Meta and Google offer more than one tool/product. If you use more than one product, how might this data be pieced together? Think about connections between different types of data.
在考虑您共享的信息以及该信息揭示的模式时，您应该考虑与您共享数据的系统是否只能访问您通过该工具或应用程序提供的系统，或者它是否还提供与您交互的其他产品？例如，Meta 和 Google 提供了不止一种工具/产品。如果您使用多种产品，如何将这些数据拼凑在一起？考虑不同类型数据之间的联系。
Component 3: Privacy Reflection (Approximately 800 words)
第 3 部分：隐私反思（约 800 字）
Looking at the data that you share and that patterns and behaviours it reveals, what makes you uncomfortable if shared? Why? What patterns in your life would you prefer to keep private?
查看您共享的数据及其揭示的模式和行为，如果共享，什么会让您感到不舒服？为什么？您希望对您生活中的哪些模式保密？
Consider what Australian privacy law actually protects and what data it classes as sensitive. Compare it to other places (especially GDPR in Europe). Then reflect on whether the law protects what you think it should protect?
考虑一下澳大利亚隐私法实际保护的内容以及它归类为敏感的数据。与其他地方（尤其是欧洲的 GDPR）进行比较。然后反思一下法律是否保护了你认为它应该保护的东西？
Don't just list laws - explain how they relate to YOUR data you mapped earlier. You don’t need to disclose anything to us that is personal to you, for example “I wouldn’t want the system knowing I had depression”. Instead you can say “I wouldn’t want the system knowing my health information.”
不要只是列出法律 - 解释它们如何与您之前映射的数据相关。您无需向我们透露任何您个人的信息，例如“我不希望系统知道我患有抑郁症”。相反，您可以说“我不希望系统知道我的健康信息。”
Component 4: Platform Deep Dive (Approximately 500 words)
第 4 部分：平台深入探讨（约 500 字）
Select one digital service you use regularly (e.g., Instagram, Netflix, Spotify, or your banking app, do not use TikTok as we use this example in class). Really dig into their privacy practices. Find their Terms & Conditions and Privacy Policy and read them thoroughly (yes, actually read them!). Then, provide an overview of your findings with regards to the following:
选择您经常使用的一项数字服务（例如 Instagram、Netflix、Spotify 或您的银行应用程序，不要使用 TikTok，因为我们在课堂上使用此示例）。真正深入研究他们的隐私做法。找到他们的条款和条件以及隐私政策并仔细阅读它们（是的，确实阅读它们！）。然后，概述您在以下方面的发现：
What can they do with your data?
他们可以用您的数据做什么？
Who can they share it with?
他们可以与谁分享？
Where is your data stored?
您的数据存储在哪里？
What rights do you have over your data?
您对您的数据有什么权利？
Can you delete your data?
你能删除你的数据吗？
Is your data sent overseas?
您的数据是否发送到海外？
Then reflect on the following:
然后反思以下几点：
Did you read these when you signed up?
您注册时阅读了这些内容吗？
Would knowing this information have changed your decision to use the service?
了解这些信息会改变您使用该服务的决定吗？
What surprised you most?
最让你惊讶的是什么？
Component 5: AI Impact Analysis (Approximately 1,000 words)
第五部分：人工智能影响分析（约 1,000 字）
Think about the data that you share with different organisations, and reflect on the following:
考虑一下您与不同组织共享的数据，并反思以下内容：
What representation/bias issues are there with your data?
您的数据存在哪些代表性/偏差问题？
Link to course readings on bias in AI systems Example: "My Netflix viewing history shows a preference for English-language content, which could reinforce Western cultural bias in recommendation systems, as discussed in Topic X’s reading/seminar/etc.
链接到有关人工智能系统偏见的课程阅读材料示例：“我的 Netflix 观看历史显示出对英语内容的偏好，这可能会强化推荐系统中的西方文化偏见，正如主题 X 的阅读/研讨会/等中所讨论的那样。
Example Analysis: "My Instagram data shows I mainly interact with English-language content about technology and cooking. According to Topic X's readings on training data bias and specifically Y’s (2023) article, this could mean AI systems trained on my data would have significant gaps in understanding other interests I pursue offline..."
示例分析：“我的 Instagram 数据显示我主要与有关技术和烹饪的英语内容进行互动。根据主题 X 关于训练数据偏差的读物，特别是 Y（2023）的文章，这可能意味着根据我的数据训练的人工智能系统将具有显着的影响。在理解我线下追求的其他兴趣方面存在差距……”
How might bias affect AI's understanding of you?
偏见如何影响人工智能对你的理解？
What assumptions might it make?
它可能做出什么假设？
Can you think of some assumptions that a system could viably make about you that might be wrong?
你能想到一个系统可能对你做出的一些可能是错误的假设吗？
What would be the consequences of that (for you, and more broadly).
这会产生什么后果（对你来说，以及更广泛的意义上）。
Make sure you reference course materials on AI decision-making. For example: "Based on Topic X’s lecture on xxxxx, the xxxx patterns in my data could lead to assumptions about xxxx..."
确保参考有关人工智能决策的课程材料。例如：“根据主题 X 关于 xxxxx 的讲座，我的数据中的 xxxx 模式可能会导致关于 xxxx 的假设......”
How might your data be used by AI systems and to do what?
人工智能系统会如何使用您的数据以及做什么？
What would be the implications of this use (think about yourself, but also more broadly about other stakeholders).
这种用途会产生什么影响（想想你自己，但更广泛地想想其他利益相关者）。
Do any of these issues concern you?
您关心这些问题吗？
If no, why not?
如果不是，为什么不呢？
If yes, how should we address these concerns and why is that the best method?
如果是，我们应该如何解决这些问题？为什么这是最好的方法？
Through legislation? (at the Local, National or Supra-National level?)
通过立法？ （在地方、国家还是超国家层面？）
Through our personal behaviour?
通过我们的个人行为？
Through industry codes of conduct?
通过行业行为准则？
Component 6: Synthesis (Approximately 1,000 words)
第 6 部分：综合（约 1,000 字）
Drawing on:
绘图依据：
Specific course materials
具体课程材料
Seminar discussions
研讨会讨论
Your answers to Part A
您对 A 部分的回答
Your privacy audit above and your reflection on the data you share
您的上述隐私审核以及您对共享数据的反思
You should consider and reflect on:
你应该考虑和反思：
If and why privacy is worth protecting?
隐私是否值得保护以及为什么值得保护？
Whether the way in which you think about privacy and AI has changed as a result of this unit?
您对隐私和人工智能的看法是否因本单元而改变？
What steps might you take to protect your privacy? For example, will you change any of your data-sharing practices or the systems/apps you interact with?
您可以采取哪些措施来保护您的隐私？例如，您会改变任何数据共享做法或与之交互的系统/应用程序吗？
Whether the law does enough to protect us? Why/why not?
法律是否足以保护我们？为什么/为什么不呢？
How your learnings from this unit will influence your actions/behaviour/compliance/approaches in the workplace (or if they won’t, why they won’t).
您从本单元中学到的知识将如何影响您在工作场所的行动/行为/合规性/方法（或者如果不会，为什么不会）。
What role AI should play in business and society.
人工智能应该在商业和社会中发挥什么作用。
Component 7: AI Use Declaration and Reflection (Excluded from Word Count)
第七部分：人工智能使用声明和反思（不计入字数）
If you DID NOT use AI in the production of this assessment, you must:
如果您在本评估的制作中没有使用人工智能，您必须：
Set out why you did not use AI for this assessment
阐明为什么您没有使用人工智能进行此评估
Reflect on the impact on your learning of not using AI
反思不使用人工智能对你的学习的影响
If you DID use AI, you must document your use of AI, using approach A or B below:
如果您确实使用了 AI，则必须使用以下方法 A 或 B 记录您对 AI 的使用：
Option 1:
选项 1：
Use a system or tool that allows you to record your chat and output (e.g. NotebookLM) and submit a copy of your output with your assessment
使用允许您记录聊天和输出的系统或工具（例如 NotebookLM）并提交输出副本和评估
Reflect on the impact on your learning of not using AI
反思不使用人工智能对你的学习的影响
Option 2:
选项2：
Explain the ways that you have used AI in the production of this assessment.
解释您在本次评估中使用人工智能的方式。
Explain which AI tools you have used and for what purposes.
解释一下您使用了哪些人工智能工具以及用途。
If you have found and used tools on your own, explain why these tools were selected and provide a URL link to the tool.
如果您自己找到并使用了工具，请解释选择这些工具的原因并提供该工具的 URL 链接。
Note the number of iterations undertaken with each main AI collaborative tool.
请注意每个主要人工智能协作工具进行的迭代次数。
Describe what output from the tool/service has been included, and where.
描述工具/服务的输出内容以及位置。
Summarise how you have altered, adopted, or built on the AI output.
总结您如何改变、采用或构建人工智能输出。
Reflect on the impact on your learning of using AI
反思一下人工智能对你学习的影响
For those choosing to document their AI use using Option 2, you may find the following example of a declaration, helpful for you. This example is drawn from the guidance provided on the Monash Student Academic Success website.
对于那些选择使用选项 2 记录其 AI 使用情况的人，您可能会发现以下声明示例对您有所帮助。此示例取自莫纳什学生学术成功网站上提供的指南。
Irrespective of the way in which you choose to declare your AI use, you must carefully document the processes undertaken in creating the assessment and be able to present detailed process evidence upon request from educators or administrators.
无论您选择以何种方式声明人工智能的使用，您都必须仔细记录创建评估所采取的流程，并能够根据教育工作者或管理员的要求提供详细的流程证据。