Artificial Intelligence Privacy and Convenience
Examine the privacy, security, and ethical considerations involved in AI implementation to ensure responsible use of technology
Examine the privacy, security, and ethical considerations involved in AI implementation to ensure responsible use of technology
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Ethics in the Age of AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand AI privacy implications
Implement privacy protection measures
Develop transparent AI models
Balance convenience and security
Apply ethical AI principles
Skills you'll gain
This course includes:
0.9 Hours PreRecorded video
9 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 3 modules in this course
This course examines the ethical implications of AI implementation, focusing on privacy protection, security measures, and transparency in machine learning systems.
Privacy and convenience vs big data
Module 1 · 2 Hours to complete
Protecting Privacy: Theories and Methods
Module 2 · 2 Hours to complete
Building Transparent Models
Module 3 · 1 Hours to complete
Fee Structure
Instructor
Distinguished Technology Educator and Ethics in Computer Science Expert
Brent Summers serves as an instructor at LearnQuest, bringing expertise in software development and a unique focus on the intersection of technology and psychology. His teaching portfolio emphasizes ethical considerations in artificial intelligence and computer science. As a former education company founder, he brings entrepreneurial experience to his role as an educator. His courses focus on critical aspects of AI ethics, including algorithmic fairness, data privacy, and ethical implementation of artificial intelligence technologies. His teaching methodology combines technical expertise with psychological insights to help students understand both the technical and ethical implications of modern technology.
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