Adaptive Virtual Reality (VR) scenarios are already being designed for implementation in neurofeedback and brain-computer interface applications. In these scenarios, the neurophysiological signals of VR users are recorded and processed in real-time to control a virtual environment. Machine learning algorithms and artificial intelligence play a crucial role in detecting specific brain states and translating them into control commands, thereby enabling the VR system to adapt to the user’s brain state. Through this neurotechnology, virtual avatars or agents that users interact with in VR can adjust their behavior and reactions based on the users’ neurophysiological states. This advancement holds potential benefits, particularly in educational settings, where virtual tutors can tailor their interactions to the learner's cognitive load. However, it's important to acknowledge the potential ethical concerns associated with this technology since it could also be utilized for subliminal manipulation of VR users for commercial or political purposes. In the following discussion, we will explore both the positive aspects of adaptive human-VR interfaces and the potential ethical pitfalls as well as implications for public policy.