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AI systems can inadvertently become biased, as demonstrated when an AI hiring tool showed gender stereotypes. It’s crucial to consider the ethical implications of AI and implement fairness in AI. We must integrate ethical principles to ensure responsible and ethical AI development.
AI can transform industries—but only if people trust it.
In this video, we’ll dive into what makes AI ethical and responsible, and how you can apply those principles to your own projects.
👉 What you’ll learn:
What ethical AI really means (beyond buzzwords)
Core principles: fairness, accountability, transparency, privacy
Real-world examples of AI gone wrong—and lessons learned
Practical ways to build responsible AI systems that users and regulators trust
Whether you’re a student, developer, or business leader—this session gives you the mindset and tools to ensure your AI doesn’t just work, but works responsibly.