Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

FRAme

An evaluation framework for human augmentation or replacement by autonomous intelligent systems

Bibliographic Data

ID20399124
AuthorsCostanza Alfieri (0000-0002-5082-3844, University of L'Aquila), Martina De Sanctis (0000-0002-9417-660X, Gran Sasso Science Institute), Donatella Donati (0000-0001-8018-2913, University of L'Aquila), Paola Inverardi (0000-0001-6734-1318, Gran Sasso Science Institute)
Year2026
Volume41
Issue2
Pages1235-1254
Publication date2026-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAI & Society (JOURNAL)
Journal identifiersISSN: 0951-5666 • E-ISSN: 1435-5655
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00146-025-02631-0
OpenAlexW4414530271
LanguageEN
Citations received1
References cited24

Artificial intelligence (AI) technologies are now embedded in daily life and their adoption has polarized opinions—some fear AI will replace human roles, while others see it as a means to augment human abilities. Central to this debate is the need to determine whether these technologies replace or augment human abilities and how these outcomes impact society. Despite its importance, the distinction between replacement and augmentation remains unclear and domain-dependent. To address this challenge, we propose fRAme , a framework designed to evaluate the impact of autonomous intelligent systems by analyzing both the technology and human abilities—specifically, their dispositions—within a given context and for a specific task. This approach aims to clarify the nuanced relationship between replacement and augmentation, providing a foundational tool for promoting responsible AI development, enhancing transparency, and enabling more informed decision-making among diverse stakeholders

Ambient Intelligence · Human intelligence · Intelligent agent · Intelligent decision support system · Intelligent environment · Human-Automation Interaction and Safety

  • Occupational safety in coal logistics

    Open Access•W Prima Addini-Alia W Abdullah, Kadir Arifin et al.•Frontiers in Public Health•2026

  • Potentiality

    Barbara Vetter•Potentiality•2015

  • Getting Causes from Powers

    Stephen Mumford, Rani Lill Anjum•Getting causes from powers•2011

  • The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work

    Open Access•Sarah Bankin, Paul Formosa•Journal of Business Ethics•2023

  • Artificial intelligence and innovation management

    Open Access•Naomi Haefner, Joakim Wincent et al.•Technological Forecasting and…•2021

  • AI for the public. How public interest theory shifts the discourse on AI

    Open Access•Theresa Züger, Hadi Asghari•AI & Society•2023

  • Prediction and Judgment

    Alvin Goldfarb, Avi Goldfarb et al.•International Security•2022

  • Automation, Augmentation, Value Creation & the Distribution of Income & Wealth

    Open Access•Michael Spence•Daedalus•2022

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae