这是一篇来自澳洲的关于通过一篇数据驱动和算法技术的开发相关的新闻文章，总结和分析它的作业代写

Submission

• Via Moodle Assignment Submission.
• Turnitin will be used for similarity checking of all submissions.
• Submissions that do not meet the basic citing and referencing requirements will be returned and given 24 hours for re-submission, with a 10% (2 mark) deduction.

• Resubmissions that still do not meet the basic citing and referencing requirements will receive an N grade.

Assessment Criteria

• Ability to clearly describe in your own words the article’s content and context, and identify the data issues/challenges.

• Ability to identify the key arguments related to data and explain the underpinning evidence.

• Ability to critically evaluate the arguments and evidence, using an ethical technological design framework.

• Critical writing skills including appropriate citation and referencing of your sources.

• Ability to draw succinct conclusions with supporting evidence.

The marking rubric is available on the Moodle site for the unit.

Late Penalties

• 10% (2 mark) deduction per calendar day for up to one week
• Submissions more than 7 calendar days after the due date will receive a mark of zero (0) and no assessment feedback will be provided.

INSTRUCTIONS

Your submission should consider the assessment criteria and use the following guide as prompts when reading the article:

A.Context & content description: What is the article about? Who are the direct and indirect stakeholders in the data/technology discussed? Why is the article relevant to Data in Society more broadly? Summarise the key argument(s) in your own words.

B.Critical explanation: Identify the particular data and technological challenges reflected through the key arguments? What evidence (e.g. academic research, government report,company statement, etc.) is referred to, described, and/or otherwise used to support the key argument(s)?

C.Analysis: Map the key data/technology challenges of the given article against the principles of Beard & Longstaff’s (B & L) Ethical Design Framework. Briefly discuss whether or not the evidence/s present (for the key data/technology challenges) are aligned with the Beard & Longstaff principles.

D.Synthesis: Which principle(s) of Beard & Longstaff’s Ethical Design Framework are most relevant to the issues discussed in this article? How does this framework help to evaluate the article’s key data challenges?

E.Conclusion: Do you agree or disagree with the key data/technology challenges? Provide any supporting evidence to justify your agreement or disagreement. Does the B& L Ethical Design Framework help you in drawing your conclusion?

REFERENCES

Beard, M., & Longstaff, S. (2018). Ethical by Design: Principles for Good Technology. The Ethics Centre. https://ethics.org.au/ethical-by-design/ [Pdf available on the Moodle site for the unit]

CITING, REFERENCING AND ACADEMIC INTEGRITY

Your submission must meet Monash University’s academic integrity standards, as detailed at

https://www.monash.edu/students/study-support/academic-integrity, so that it is clear what are your ideas and what are the ideas of others.

The basic citing and referencing requirements are:

• ALL the sources that you use in develop your assignment submission appropriately cited and referenced using the APA citation style

(http://guides.lib.monash.edu/content.php?pid=346637&sid=2835402),

• any direct quotes from sources clearly identified as such with the use of quotation marks, a citation and a reference, and

• no patchwork paraphrasing.

In particular, please note the following from the ‘Student Academic Integrity Procedure’ of

Monash, available at

https://www.monash.edu/__data/assets/pdf_file/0004/2300935/Student-Academic-Integrity-Procedure.pdf