When using large language models (LLMs) like PANGeA to generate game narratives, several ethical considerations should be addressed to ensure responsible and inclusive storytelling:
Bias Mitigation: Developers must actively work to mitigate biases present in LLMs to prevent the perpetuation of stereotypes or discriminatory representations in game narratives. This includes regular audits of generated content and the implementation of bias detection algorithms.
Representation: Careful consideration should be given to how personality traits and character biases are portrayed in the game. Ensuring diverse and authentic representations of different identities can promote inclusivity and avoid reinforcing harmful stereotypes.
Informed Consent: Players should be informed about the use of AI-generated content in games and have the option to opt-out of certain narrative elements if they find them uncomfortable or inappropriate.
Transparency: Game developers should be transparent about the use of LLMs in generating narratives, providing clear information on how AI technologies influence storytelling and character interactions.
User Empowerment: Players should have agency in shaping the narrative direction and character development, allowing them to influence the story outcomes and challenge predefined biases in the game.
By proactively addressing these ethical considerations, developers can create more inclusive and socially responsible game narratives that respect diverse perspectives and promote positive player experiences.