AI in society and culture: decision making and values

TL;DR

This paper reviews academic discussions on AI's societal and cultural impacts, focusing on decision-making, values, and stakeholder perspectives to promote responsible and human-centered AI development.

Contribution

It synthesizes key sociocultural aspects and decision frameworks of AI, proposing stakeholder engagement to address broader societal issues.

Findings

Sociocultural filters influence AI decision-making

Taxonomy of human-machine decisions developed

Stakeholder survey proposed for future insights

Abstract

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.