Decision Making Under Risk and Ambiguity

Decision making under risk and ambiguity is a critical field of research that intersects with numerous aspects of daily life and global challenges. From potential parents evaluating genetic risks to businesses navigating potential financial losses, and governments assessing threats from conflicts and climate crises, the need to understand and manage risk is pervasive. Despite the commonality of risk modeling processes across these domains, behavioral responses to risk vary significantly, highlighting the complexity of decision-making under uncertainty. Recent studies have shown that while foundational theories provide a framework for understanding risk, the rapid evolution of technology, particularly AI and machine learning, introduces new layers of complexity and uncertainty. These advancements necessitate a deeper exploration of how decision-making processes adapt to these emerging risks, as well as the development of more sophisticated models and tools to better predict and manage them. However, there remains a gap in fully understanding the interplay between human behavior and these technological advancements, underscoring the need for continued research in this dynamic field.

This research topic aims to explore the multifaceted nature of decision making under risk and uncertainty, with a focus on both applied domains and theoretical advancements. The primary objective is to address how individuals and organizations navigate risk in various contexts, and to investigate the impact of emerging technologies on these decision-making processes. Key questions include how risk is perceived and managed across different sectors, and how new theories and technologies can enhance our understanding of decision-making under uncertainty.

To gather further insights in the realm of decision making under risk and ambiguity, we welcome articles addressing, but not limited to, the following themes:
• Risk with respect to business, entrepreneurship, and the future of work (FoW)
• Advances in AI and our understanding and conceptualizing of existential risk
• Climate and conflict risk and mitigation strategies
• New theories and elicitation techniques regarding decision-making under uncertainty

Keywords: Risk, Uncertainty, Ambiguity, Experimental, Climate Risk, Existential Risk, New Approaches, Applied Risk Assessment

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.