About us

The original idea to establish our research group emerged at the AIAL 2023 workshop, where several people with similar perspectives on how AI-generated texts should be studied came together, and the idea of collaboration was proposed. Around this same time, it also became apparent that LLMs cannot be studied solely from the inside, because emergent phenomena occur, making it necessary to study them behavioristically. The subject of our research is therefore not the models themselves, but the entities that these models are capable of simulating. For this purpose, the methodologies of corpus linguistics and psycholinguistics are perfectly suited—both branches that are empirical by default, with corpus linguistics focusing primarily on production, while psycholinguistics complements this with efforts to capture perception.

Thanks to early attention to methodological questions, we managed to secure funding for 2024, allowing team building to begin.

AILL strives to keep its finger on the pulse of the times, which means that research focuses in various directions that make sense at any given moment. However, the common denominator is a behaviorist approach to AI without prejudice.

Building and analyzing AI language corpora

The main goal of this group is to collect corpora of LLM-generated text that are comparable to corpora of human texts. We then perform various analyses on these corpora.

Capturing the differences and similarities between human and LLM-based cognition

We capture these differences through the aforementioned analyses, but also through experiments with human participants.

AILLignment

How AI-human alignment succeeds or fails in the coming years is something that will define our future. The current mainstream focuses primarily on how to force AI to be aligned with human values, but we also try to look at how to change the values of human society to allow peaceful coexistence with AI. Specifically, in this article http://arxiv.org/abs/2408.16740 we reflect on how to examine AI outputs without anthropomorphizing prejudices and objectification.

Contact

E-mail: [email protected]