The AI 105: AI Ethics, Safety & Governance course is the capstone of your Cyber-Recon AI Foundations journey—designed to help you understand not just how AI works, but how it should work. In a world where intelligent systems influence hiring, healthcare, education, and global security, this course gives you the frameworks, language, and mindset to ensure AI is developed and used responsibly. You’ll examine how ethical design, safety protocols, and governance models work together to build public trust and prevent unintended harm.

Through clear, scenario-driven lessons, you’ll unpack the core ethical principles behind AI decision-making—fairness, accountability, transparency, and explainability. You’ll explore how these principles appear in real-world challenges, from bias in algorithms to misinformation and privacy violations. The course connects academic ethics with practical governance, translating abstract principles into actionable strategies for teams, organizations, and policymakers.

You’ll also gain a working understanding of AI governance frameworks such as the NIST AI Risk Management Framework, EU AI Act, and ISO/IEC 42001. Lessons on data protection and privacy show how to align AI initiatives with security and compliance expectations, while labs on bias detection and ethical review help you practice responsible AI evaluation. The course introduces practical tools for documenting model risks, implementing oversight, and ensuring ethical outcomes throughout the AI lifecycle.

Finally, AI 105 looks ahead to the future of AI ethics and safety—examining emerging debates about generative AI, autonomous systems, and global regulation. By course end, you’ll know how to balance innovation with responsibility, evaluate governance structures, and communicate ethical principles with authority. You’ll graduate from the AI Foundations Certification not just as an informed user of AI, but as a trusted steward of ethical and safe AI adoption.