Apply Magic Sauce
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Evaluación
- Dificultad
- 1/5
- Tiempo estimado
- 1-3 horas
- Aptitud para principiantes
- 25/100
- Tipo de issue
- Documentación
- Claridad
- Bien especificado
- Estado de actividad
- Estancado
- Área
- content, documentation
Línea de trabajo
Abre la demo de Apply Magic Sauce en https://applymagicsauce.com/demo y revisa la función que menos te guste. Escribe un análisis de 250 palabras explicando por qué, publícalo en el hilo del canal de la clase, participa en la discusión y añade el enlace al hilo a este ticket.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
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The download instructions are outdated.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.
- Lenguaje dominante
- JavaScript
- Estrellas
- 1
- Forks
- 327
- Merge medio
- 3 d 7 h
- PR fusionados (30 d)
- 3
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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