Featured in the LMU news: “Barbara Plank researches natural language processing (NLP) at LMU. She works on language technologies and artificial intelligence with a strong focus on human concerns.”
The problem of human label variation arises in AI, when human annotators assign different valid labels to the same item. This is a ubiquitous problem in AI in general, and especially pronounced in problems where language is involved, as language is ambiguous (amongst others). Yet, most AI systems today are trained on the assumption that there exists a single ground truth, or, a single valid interpretation per item.