Artificial Intelligence Privacy and Convenience
- 4.6
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Course Summary
This course explores how Artificial Intelligence (AI) affects privacy and convenience in society. It covers topics such as facial recognition, data privacy, and AI bias.Key Learning Points
- Understand the impact of AI on society's privacy and convenience
- Learn about AI bias and how it affects certain groups of people
- Gain knowledge on data privacy and how it relates to AI technology
Related Topics for further study
Learning Outcomes
- Ability to analyze the impact of AI on privacy and convenience
- Understanding of AI bias and its effects
- Knowledge of data privacy and its relation to AI technology
Prerequisites or good to have knowledge before taking this course
- Basic understanding of Artificial Intelligence
- Familiarity with data privacy laws
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- AI Ethics
- Data Privacy Fundamentals
- Facial Recognition
Related Education Paths
Notable People in This Field
- Gordon McKay Professor of Computer Science
- Assistant Professor
Related Books
Description
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.
Outline
- Privacy and convenience vs big data
- Course Introduction
- How safe is your data?
- Algorithms vs privacy
- Adversarial attacks on privacy
- Weekly Review
- Netflix Prize: Breaking anonymous datasets
- Clearview AI
- Knowledge Check
- Knowledge Check
- Weekly Quiz
- Protecting Privacy: Theories and Methods
- How secure is your model?
- Noise vs signal: protecting privacy
- Implementing differential privacy
- Weekly Review
- Dataset Security
- Differential Privacy at Apple
- Knowledge Check
- Knowledge Check
- Weekly Quiz
- Building Transparent Models
- Privacy methods in practice
- Glass box vs black box models
- Markets and game theory: empowering users
- Deconstructing algorithmic complexity
- Weekly Review
- Why should I trust you?
- Knowledge Check
- Knowledge Check
- Weekly Quiz
Summary of User Reviews
AI Privacy and Convenience is a popular course on Coursera that has received positive reviews from users. Many users found the course informative and engaging. The course covers important topics related to AI, privacy, and convenience. Here are some pros and cons mentioned by users:Pros from User Reviews
- Informative and engaging content
- Well-structured course material
- Good balance between theory and practical examples
- Great instructor with a clear and concise teaching style
- Useful resources and assignments
Cons from User Reviews
- Some users found the course material too technical
- Lack of depth in some areas
- Some assignments were too challenging
- Limited interaction with other learners
- Some users experienced technical difficulties with the platform
Brent Summers
4.6 Raiting
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