The Societal Impacts of Generative Artificial Intelligence: A Balanced Perspective

Summary

The authors argue that discourse on the societal impacts of generative AI (e.g., ChatGPT) often oscillates between utopian productivity visions and dystopian fears, both of which oversimplify. They contend GenAI's impacts will unfold dynamically over time as implementations interact with stakeholders and contexts, with Big Tech dominating supply while demand evolves through experimentation. They identify three contingencies shaping societal impact: the balance between automation and augmentation, the congruence of physical and digital realities, and the retention of human bounded rationality.

Contribution

Proposes a balanced analytical framing for GenAI's societal impact built around three contingencies (automation-vs-augmentation; physical-digital congruence; human bounded rationality) and argues outcomes depend on the interplay of technology, stakeholder dynamics, and societal responses.

Method

Opinion/conceptual piece offering a balanced framework; no empirical evaluation reported.

Relevance to RISE

Sabherwal and Grover (Arkansas) on the macro / societal impacts of GenAI. Background reference for the field-level RISE evaluation question (see Evaluation).

Critique / open questions

Conceptual essay without empirical grounding; the abstract concedes that predicting long-term effects is challenging due to unforeseeable discontinuities, leaving the proposed contingencies untested.