AIn: Artificial Intelligence for Many

Read full text
Authors: Gilson Teixeira Jr
Cited by: 0

Abstract

AIn — Artificial Intelligence for Many: From AI for the user to AI for society This concept paper introduces AIn (Artificial Intelligence for Many) as a framework for understanding and designing artificial intelligence systems according to their broader societal and systemic impact. While many contemporary applications of artificial intelligence focus on optimising outcomes for individual users, firms, or specific tasks, AI systems increasingly operate within complex socio-technical environments that affect communities, institutions, and planetary systems. As a result, evaluating AI solely through the lens of individual benefit is becoming insufficient. The concept of AIn proposes a shift in perspective: from AI designed primarily for individual users to AI orchestrated across systems in order to generate value for many stakeholders simultaneously. The paper introduces a canonical definition of AIn, situates the concept within the evolution of design thinking and socio-technical systems research, and proposes practical tools for applying the framework in real-world contexts. Key elements of the framework include: The AIn System Layers Model, which illustrates how AI systems interact across nested layers including users, communities, societal systems, and planetary systems. The concept of AI touchpoints, describing points within complex systems where artificial intelligence can meaningfully influence decision-making, coordination, or optimisation. A distinction between beneficial AI applications and AIn ecosystems, emphasising that AIn emerges when multiple AI capabilities are intentionally orchestrated across a broader system rather than applied in isolation. The paper also proposes AIn as a constructive alternative to narratives that frame artificial intelligence primarily in terms of technological displacement. Instead, the framework highlights the potential of AI to support collective intelligence and systemic problem-solving in areas such as healthcare, energy systems, infrastructure, and public policy. By expanding the scope of artificial intelligence from individual optimisation to system-level impact, AIn offers a conceptual foundation for designing and evaluating intelligent technologies that contribute to societal and planetary wellbeing. Tagline:AIn — Artificial Intelligence for Many. From AI for the user to AI for society.

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence Applications Innovation Technology and Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN