[Solved] Discussions: Google Notebook LM & Amazon’s Hiring

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[>Accounting homework help](https://www.sweetstudy.com/fields/business-finance-accounting) Discussion: Google Notebook LM **Instructions:** Explore and engage with a Cutting-Edge AI/ML Algorithm/Tool: [Google Notebook](https://notebooklm.google/) (https://notebooklm.google/). You are required to: – …

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Assignment Prompt & Instructions

[>Accounting homework help](https://www.sweetstudy.com/fields/business-finance-accounting)

Discussion: Google Notebook LM

**Instructions:**

Explore and engage with a Cutting-Edge AI/ML Algorithm/Tool: [Google Notebook](https://notebooklm.google/) (https://notebooklm.google/). You are required to:

– Research the assigned tool and understand its functionality.

– Choose a topic that you are interested in and use the tool  practically in a meaningful way (e.g., research, data analysis,  visualization, modeling).

– Add at least 3 resources to LM on your topic of choice and create a podcast **(using the Notebook LM)** and submit your podcast.
– Submit your process and findings in **500 words** along with the podcast.

## Discussion: Amazon's Hiring

After reading the case and watching the material here: [Amazon's Hiring](https://fgcu.instructure.com/courses/574243/pages/in-class-case-amazons-hiring-algorithm "In-Class Case: Amazon’s Hiring Algorithm"), write an initial discussion post ( **500 words**) in which you evaluate why Amazon’s hiring model failed and what the company should have done in response.

In your post, address the following:

– Identify **2–3 specific problems** with the model.
– Explain where the root data issues occurred, using at least **two** of the following:

– biased training data
– flawed labels
– proxy variables in features
– Choose **one response option** from the case:

– **A.** Deploy the model as-is
– **B.** Use the model only as a support tool with human oversight
– **C.** Redesign the model before any use
– **D.** Abandon the approach entirely
– Justify your choice using evidence from the case, including:
– model performance
– potential cost savings
– bias risk
– legal or reputational concerns
– If you choose **B** or **C**, propose **1–2 concrete changes** that would improve the system.

Your response should be concise,  analytical, and grounded in the case. You do not need outside research.  Focus on applying course concepts clearly and directly.

– [\
\
In-ClassCase-AmazonsHiringAlgorithm.docx](https://www.sweetstudy.com/files/in-classcase-amazonshiringalgorithm-docx "In-ClassCase-AmazonsHiringAlgorithm.docx")

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