One potential drawback of using generative AI in narrative-based solutions for non-cognitive skill learning is the risk of bias in the AI-generated content. Generative AI models may inadvertently perpetuate stereotypes or present biased perspectives, which can impact the learning experience and reinforce harmful beliefs. To address this concern, it is essential to implement rigorous data validation processes and bias detection mechanisms to ensure that the AI-generated content is diverse, inclusive, and free from bias.
Another ethical concern is the potential for AI to manipulate or influence users' emotions and behaviors through persuasive storytelling techniques. To mitigate this risk, transparency about the AI's role and limitations should be maintained, and users should be empowered to make informed decisions about their interactions with the AI. Additionally, implementing clear guidelines and ethical standards for AI development and usage can help uphold ethical principles and protect users' well-being.