9.5 Cultural responsiveness

Various traits that we measure for our safety objectives depend heavily on socio-cultural contexts. Research on
addressing the major challenge of improving representativeness of datasets and crowdworker pools for underrepresented
social groups and the Global South [107] has increased in recent years. Any attempts to integrate LaMDA in contexts
with a global user-base should involve careful considerations of these gaps when assessing safety.

4https://dynabench.org/

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Any meaningful measure of safety for these objectives should take into account the societal context where the system
will be used, employing a “participatory ﬁnetuning” approach that brings relevant communities into the human-centered
data collection and curation processes. In addition to cultural differences in how safety is understood, individual
differences rooted in lived experience can impede attempts to deﬁne any single agreed-upon safety metric.

9.6
LaMDA- Language Models for Dialog Applications