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D842 TASK 2 TECHNOLOGY AND ETHICS: A LOOK AT EMERGING TRENDS

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This document is a passed submission for D842 Task 2 from WGU’s Technology and Ethics course. It offers an in-depth analysis of privacy, ethical concerns, and responsible use of AI-powered tools like ChatGPT and Alexa in both educational and home environments. Topics include: Ethical risks of digital footprints and surveillance Student data privacy and consent issues Third-party sharing, algorithmic bias, and misuse of educational data Ethical concerns around AI dependence and critical thinking loss Utilitarian analysis of tech settings (e.g., default privacy protections) Practical suggestions for students and educators to reduce risk This submission: Is original, student-written, and free from WGU templates Demonstrates ethical reasoning and professional awareness Includes examples of responsible AI and tech use in education Offers strategies to increase digital autonomy and safety Is 4+ pages in essay format and citation-ready This document is perfect for WGU students completing D842 or anyone needing a model for ethical writing on AI, privacy, and student data. It’s frequently found through Google search by students seeking clarity on how to analyze ethical dilemmas involving education and emerging technology. FOR EDUCATIONAL REFERENCE ONLY

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Full Disclaimer: This presentation includes only original student-created content and does not
contain WGU templates or proprietary materials. It is provided for educational reference only
and should not be submitted as your own work. Use ethically to support understanding and build
your own response.



D842 Task Two

A.

Question 1.

“Hey CHATGPT, What are the privacy concerns when students create digital footprints on

online learning platforms?”

According to a response generated by ChatGPT (OpenAI, 2025), “When students create

digital footprints on online learning platforms, several privacy concerns arise that need careful

consideration. Here are the key ones:

1. Data Privacy and Security


 Personal Information Exposure: Many online learning platforms collect personal data

such as names, emails, locations, academic records, and sometimes even payment details.

If this data is not adequately protected, it can be exposed in the event of a security

breach.  Data Storage and Retention: It's crucial to understand where and how long

student data is stored. If data is stored on servers in different countries, local privacy

laws might not apply, raising concerns about cross-border data sharing and government

access.

,  Third-party Sharing: Some platforms share data with third parties for advertising,

analytics, or even educational collaborations. Students might not always be aware of

these practices or may not have the opportunity to opt out.

2. Tracking and Surveillance


 Behavioral Tracking: Platforms may track students' behaviors, such as login times,

course progress, and even interactions with peers and instructors. This data can be used

to create detailed profiles of students, which might be shared or sold to third parties,

leading to concerns about privacy and consent.


 Facial Recognition & Biometric Data: Some platforms use advanced technologies like

facial recognition or biometric data to monitor student engagement or verify identity.

This could lead to data being collected without explicit consent, and students might not

be fully aware of how their biometric data is being used.

3. Lack of Consent or Informed Consent

 User Agreements: Many online learning platforms have complex terms and conditions

that users agree to without fully reading or understanding them. These agreements often

grant the platform broad rights over data collection, sharing, and usage.

 Inadequate Control for Students: Students might not have the option to control or limit

the data being collected about them. They may also have little ability to delete their data

or request its removal if they decide to leave the platform.

4. Long-term Digital Footprints

 Permanent Record: Students’ activities and academic performance on online platforms

often create a permanent digital record. This includes test scores, forum contributions,

Document information

Uploaded on
May 19, 2025
Number of pages
13
Written in
2024/2025
Type
ESSAY
Professor(s)
Unknown
Grade
A

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