Systemic flaws in large language model evaluation foster hallucinations, underscoring need for interdisciplinary approaches.
Original framing: “Evaluating large language models for accuracy incentivizes hallucinations” — Nature
The concept of 'hallucinations' in language models has implications beyond the technical realm, touching on issues of cultural and social responsibility. In many non-Western cultures, the use of language models to spread misinformation is seen as a form of 'digital juju,' which can have serious social and economic consequences. By considering these cultural and social contexts, researchers may develop more effective strategies for mitigating the spread of misinformation.
The development of large language models has been shaped by Western epistemologies, which prioritize technological progress over social responsibility.
However, the potential consequences of these models on marginalized communities are significant and far-reaching. To mitigate these consequences, researchers must adopt more comprehensive evaluation frameworks that incorporate diverse perspectives and methods, including indigenous knowledge, historical context, and cross-cultural wisdom. This may involve the use of scenario planning and future modelling techniques to identify potential risks and opportunities. By considering the artistic and spiritual dimensions of language, researchers may develop more nuanced and culturally sensitive approaches to language model evaluation. For instance, the use of language models to generate creative content may be seen as a form of 'digital poetry,' which challenges traditional notions of authorship and creativity. Ultimately, the development of large language models requires a more nuanced and culturally sensitive approach, one that takes into account the perspectives of marginalized communities and the potential consequences of language model deployment.