Questo corso introduce i concetti di AI responsabile e i principi dell'AI. Tratta le tecniche per identificare sostanzialmente l'equità e i bias e mitigare i bias nelle pratiche di AI/ML. Illustra metodi e strumenti pratici per implementare le best practice dell'AI responsabile utilizzando gli strumenti open source e i prodotti Google Cloud.
Responsible AI for Developers: Fairness & Bias - Italiano
Responsible AI for Developers: Fairness & Bias - Italiano
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Definire cos'è l'AI responsabile
Identificare i principi dell'AI di Google
Descrivere cosa sono l'equità e i bias dell'AI
Spiegare come identificare e mitigare i bias attraverso i dati e la modellizzazione
Details to know
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Recently updated!
July 2024
Assessments
2 assignments
Taught in Italian
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There are 5 modules in this course
Questo modulo introduce la struttura e gli obiettivi del corso.
What's included
1 video
Questo modulo fornisce una panoramica dell'AI responsabile, trattando i principi dell'AI di Google e gli argomenti secondari dell'AI responsabile. Inoltre, fornisce case study reali sull'AI responsabile nei prodotti Google.
What's included
4 videos1 assignment
Questo modulo è incentrato su equità e bias dell'AI. Fornisce varie tecniche e strumenti per identificare e mitigare i bias attraverso i dati e la modellizzazione.
What's included
9 videos1 assignment1 app item
Questo modulo fornisce un riepilogo dell'intero corso coprendo i concetti, gli strumenti e le tecnologie più importanti.
What's included
1 video1 reading
Link PDF per gli studenti a tutti i moduli
What's included
4 readings
Instructor
Offered by
Recommended if you're interested in Software Development
Fractal Analytics
University of Michigan
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.