+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIWednesday, August 26, 2026
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TRV-2026-0060Version 2 · Revised

Written 2026-07-12 20:58:06 UTC · current record

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TRUVACE RECORD VERSION
record: TRV-2026-0060
version: 2
kind: revised
reason: Reading revised
timestamp: 2026-07-12T20:58:06.035704Z
status: published
lens: p_space
sector: policy
headline: AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
dek: This article reports the findings of AI4People, an Atomium-EISMD initiative designed to lay the foundations for a "Good AI Society". We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations-to assess, to develop, to incentivise, and to support good AI-which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by…
gain_reading: (none)
problem_reading: We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations-to assess, to develop, to incentivise, and to support good AI-which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders.
limitation: Historical evidence reading: the cited study may be limited by its design, population, period, or setting, and later research may report different effects.
tag: Evidence-backed problem
key_points: This article reports the findings of AI4People, an Atomium-EISMD initiative designed to lay the foundations for a "Good AI Society". | If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.
rundown: This article reports the findings of AI4People, an Atomium-EISMD initiative designed to lay the foundations for a "Good AI Society". We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations-to assess, to develop, to incentivise, and to support good AI-which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders.

If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.
sources:
- peer_reviewed | Minds and Machines | https://doi.org/10.1007/s11023-018-9482-5 | 2018-11-25
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