Apply Magic Sauce

### Link to the coursework

https://applymagicsauce.com/demo

### Why are we doing this?

Companies are very interested in the data provided by software like Apply Magic Sauce. Automated language analysis is already being used in the [hiring of personnel](https://www.scientificamerican.com/article/the-internet-knows-you-better-than-your-spouse-does/). [Applicant Tracking Systems](https://resumeworded.com/score) (ATS) are used in [97% of Fortune 500 ](https://www.jobscan.co/blog/fortune-500-use-applicant-tracking-systems/) companies.

Apply Magic Sauce is a machine interpretation of personality based on how a person writes a sentence in an email or the types of content they like on social media. This is great when it gets the personality traits 99% accurate. But what if it goes horribly wrong and ruins lives?

Choose one thing that Apply Magic Sauce can do that you don't like (or like the least). Describe what it is and say why you don't like it. (250 words)

Below are some starting points for you to think about:

1. What happens when human beings rely on software to make consequential judgments about human beings?
2. Are algorithms more or less biased than people?
3. What are the consequences of surveilling people in this way? How does this affect how people talk and act online?

> [!TIP]
The download instructions are outdated. Use [this helpful tutorial ](https://www.youtube.com/watch?v=MqIffy1oTdU)by our very own @PERicci instead

### Maximum time in hours

1.5

### How to get help

Undertake the demo at home and then discuss this in class. Developers should be literate citizens of the internet, and understand the consequences of gathering and analysing personal data. You may also like to look into some short courses on GDPR on Udemy.

### How to submit

Post your analysis in your class channel thread, and join the discussion. Post a link to the thread on this ticket.

打开 https://applymagicsauce.com/demo 上的 Apply Magic Sauce 演示，并评审一个你最不喜欢的功能。撰写一篇 250 字的分析，解释原因，将其发布到班级频道的线程中，参与讨论，并将该线程的链接添加到此工单。

由索引模型根据 Issue 内容生成。