AI models are trained on vast datasets from the internet, which can contain historical and societal biases. If unchecked, AI can perpetuate or even amplify these biases in areas like hiring, loan applications, and criminal justice, leading to unfair outcomes for certain demographic groups.

Generative AI makes it trivially easy to create highly realistic but entirely fake images, videos, and audio (deepfakes). This technology can be weaponized to spread misinformation, defame individuals, and disrupt political processes, eroding public trust in media and institutions.

As we develop more autonomous AI agents that can act independently in the world, critical questions of control and accountability arise. How do we ensure these agents align with human values and goals? Who is responsible when an autonomous system makes a mistake or causes harm? Establishing robust safety protocols is paramount.