AI in society and culture: decision making and values
It addresses the societal and cultural integration of AI for stakeholders, but is incremental as it primarily summarizes existing debates and studies.
This literature review synthesizes hundreds of academic sources to explore AI-driven decision-making and value-based AI, focusing on sociocultural filters and human-machine taxonomies, without presenting new experimental results or concrete numbers.
With the increased expectation of artificial intelligence, academic research face complex questions of human-centred, responsible and trustworthy technology embedded into society and culture. Several academic debates, social consultations and impact studies are available to reveal the key aspects of the changing human-machine ecosystem. To contribute to these studies, hundreds of related academic sources are summarized below regarding AI-driven decisions and valuable AI. In details, sociocultural filters, taxonomy of human-machine decisions and perspectives of value-based AI are in the focus of this literature review. For better understanding, it is proposed to invite stakeholders in the prepared large-scale survey about the next generation AI that investigates issues that go beyond the technology.