AI-generated cultural history discussions sometimes overlook or underrepresent Indigenous contributions due to biases in training data, which often reflects historical omissions in mainstream narratives. Many historical sources, especially those written from colonial perspectives, have long minimized or ignored Indigenous voices, leading AI models trained on such data to inadvertently perpetuate these gaps.
Additionally, the prioritization of widely available texts means that oral traditions—central to many Indigenous cultures—are often absent from AI-generated discussions. Oral histories are crucial in understanding Indigenous contributions to art, science, governance, and environmental stewardship, yet they are less documented in digital or written formats that AI models can access.
To address this, AI-generated cultural history discussions should actively incorporate Indigenous sources, including Indigenous-authored works, oral history projects, and perspectives from community-led research. More inclusive training datasets and ethical AI development practices can help ensure that Indigenous histories and contributions receive the recognition they deserve.