courseraАнализ данных

Responsible and Ethical AI

Курс от Northeastern University

Средний≈ 18.7 чАнглийский

О курсе

In this course, we will investigate the ethical challenges in Artificial Intelligence (AI) systems. The focus of this course is on preparing students with the knowledge and practical approaches necessary in designing reliable and ethical AI systems that are responsible and trustworthy. Key topics covered include: • Bias and Fairness in AI and Machine Learning • Nature of data privacy and AI Risks • Understanding AI regulations. • Frameworks for building truly trustworthy and responsible AI. There are 2 hands-on labs in this course. You need knowledge of python and basics of AI model development.

Навыки, которые вы освоите

Responsible AI Data Ethics Risk Management Framework Data Governance Data Integrity General Data Protection Regulation (GDPR)Model Evaluation Artificial Intelligence Information Privacy Ethical Standards And Conduct Machine Learning Dependency Analysis Data Security Law, Regulation, and Compliance AI literacy Personally Identifiable Information Data Quality AI Security Data-Driven Decision-Making

Программа курса

4 модулей · 56 учебных материалов

01AI and Dependencies14 материалов

Getting Started

Course IntroductionЧтение Course WelcomeВидео Syllabus - Responsible and Ethical AIЧтение Academic IntegrityЧтение

AI and Dependencies

Учитесь у экспертов

Umesh Hodeghatta

Преподаватель курса