Bias in AI refers to systematic errors or prejudices that can occur within AI systems due to biased training data, faulty algorithms, or human biases. Addressing bias in AI is crucial for ensuring fairness, inclusiveness, and ethical practices in AI applications.
Virtual Reality (VR) allows users to experience and interact with artificial, computer-generated environments. By immersing users in virtual worlds, businesses can create engaging and…