Free Download AI Security and Ethics
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 9m | Size: 723 MB
A Complete Learning Path for Responsible AI Development
What you'll learn
Recognize different types of bias in datasets and models, and understand their real-world implications.
Learn about fairness, accountability, transparency, privacy, and how these values apply to AI systems.
Apply global ethical guidelines like the EU AI Act, IEEE standards, and responsible AI principles to assess AI practices.
Explore how AI affects employment, social justice, surveillance, and decision-making in sectors like healthcare and law enforcement.
Requirements
Ethical Consideration in AI
Description
What Will Students Learn in This Course?In this course, students will explore the critical areas of security and ethics in artificial intelligence, gaining the knowledge and skills needed to build responsible, safe, and compliant AI systems.Learners will begin by understanding the fundamentals of AI ethics, including the core principles of fairness, accountability, transparency, and human-centered design. The course emphasizes how ethical considerations must guide every phase of AI development, from data collection to deployment.Next, students will examine security risks specific to AI, such as adversarial attacks, data poisoning, and model manipulation. They'll learn how to recognize and defend against threats that compromise AI integrity and safety.The course also covers bias in AI, helping students understand how algorithmic bias arises and how to identify, measure, and mitigate it to ensure inclusive and fair outcomes. Real-world examples will be used to demonstrate the impact of biased models.Another key focus is on privacy and data protection, where students will explore methods like differential privacy, federated learning, and secure data storage to protect user information in AI-driven applications.Finally, students will gain an overview of regulatory and compliance frameworks such as the GDPR, the EU AI Act, and other global standards, ensuring they understand the legal and societal responsibilities of working with AI.By the end of the course, students will be equipped to design, develop, and deploy AI systems that are secure, ethical, and aligned with industry best practices.
Who this course is for
Students and Graduates ,Tech Professionals, Business Leaders and Decision-Makers Policy Makers and Legal Experts and General Enthusiasts
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