publish date
Mar 12, 2025
duration
18
min
Difficulty
Case details
AI is advancing rapidly, but ensuring it aligns with human values and operates ethically remains a critical challenge. As machine learning systems become more autonomous and influential, issues like bias, transparency, and decision-making accountability must be addressed. In this talk, I’ll explore the core principles of AI alignment—how we ensure AI behaves as intended—and the ethical dilemmas that arise in real-world applications. We’ll dive into key concerns like biased algorithms, fairness in AI decisions, and the risks of unintended consequences. I’ll also discuss strategies for developing AI that is not only powerful but also responsible, transparent, and aligned with societal values.
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