In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future.
Este curso forma parte de Programa especializado: Ethics in the Age of AI
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Acerca de este Curso
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosHabilidades que obtendrás
- Ethics
- Machine Learning
- Ethics Of Artificial Intelligence
- security
- Privacy
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Privacy and convenience vs big data
Protecting Privacy: Theories and Methods
Building Transparent Models
Reseñas
- 5 stars70 %
- 4 stars26 %
- 3 stars4 %
Principales reseñas sobre ARTIFICIAL INTELLIGENCE PRIVACY AND CONVENIENCE
The concepts were easier to grasp and a nice introduction into the complexities around algorithmic models and building ethical practices from the outset.
A relatively short but interesting course relating to privacy concerns around AI and ways to manage/improve models to address these concerns.
This was a very interesting eye opening Course of the Future, thank you.
A good course on balancing between privacy and aggregate results. It tells how anonymization should be done. It did not cover enough the correlations between privacy and accuracy though
Acerca de Programa especializado: Ethics in the Age of AI

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