As AI technology continues to advance, so too does the need for increased control and guidance over the behavior and output of these intelligent systems. This is where AI steerability comes into play. By designing AI models with mechanisms that understand and adhere to human intentions, we can ensure that these systems align with our specific objectives and preferences, while also avoiding any unintended or undesirable outcomes. But improving steerability is an ongoing process that requires constant research and refinement, including innovative techniques like rule-based systems, fine-tuning, and incorporating additional human feedback loops during AI development.
