Apply Magic Sauce
Nobody has claimed this yet.
Assessment
- Difficulty
- 1/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Stale
- Domain
- content, documentation
Research direction
Open the Apply Magic Sauce demo at https://applymagicsauce.com/demo and review one feature you like least. Write a 250-word analysis explaining why, post it in the class channel thread, join the discussion, and add the thread link to this ticket.
Written by the indexing model from the issue text.
Description
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. Applicant Tracking Systems (ATS) are used in 97% of Fortune 500 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:
- What happens when human beings rely on software to make consequential judgments about human beings?
- Are algorithms more or less biased than people?
- 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The download instructions are outdated.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 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.
- Dominant language
- JavaScript
- Stars
- 1
- Forks
- 327
- Avg merge
- 3d 7h
- Merged PRs (30d)
- 3
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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