What challenges does Generative AI present?

While Generative AI holds great promise, it’s not without its challenges. One of the prominent concerns is the potential for bias in generated content. If the training data used to teach the AI model contains biases, these biases can be reflected in the generated outputs, perpetuating existing inequalities. Ensuring fairness and inclusivity in generated content is a critical challenge that needs to be addressed. Additionally, intellectual property and copyright issues can arise when using Generative AI to create content. Organizations must carefully navigate the legal landscape to protect their intellectual property rights and avoid unintentional copyright violations. Furthermore, Generative AI’s reliance on massive amounts of data and computational resources raises environmental sustainability concerns, as the energy consumption associated with training these models can be significant.