ReviewInternational psychogeriatrics2020
Beyond artificial intelligence: exploring artificial wisdom.
Review in International psychogeriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 87 citations in OpenAlex.
- Letter to the Editor: Artificial wisdom and the transience of truth: Ethical and temporal reflections on artificial intelligence-human inquiry into history.World journal of methodology · 2026Article
- The role of brain health and resilience in reshaping trajectories of late-life neuropsychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Decoding Alexander the Great's gastrointestinal cause of death using artificial wisdom: An artificial intelligence-human inquiry into a medical mystery.World journal of gastroenterology · 2025Article
- Psychiatry in the age of AI: transforming theory, practice, and medical education.Frontiers in public health · 2025Review
- Clinical application ofJapanese journal of radiology · 2024Review
- Clinical Practice Guidelines on using artificial intelligence and gadgets for mental health and well-being.Indian journal of psychiatry · 2024Article
- Artificial Intelligence in Endoscopic Ultrasonography-Guided Fine-Needle Aspiration/Biopsy (EUS-FNA/B) for Solid Pancreatic Lesions: Opportunities and Challenges.Diagnostics (Basel, Switzerland) · 2023Review
- The usefulness of machine-learning-based evaluation of clinical and pretreatmentThe British journal of radiology · 2023Article
- Artificial intelligence and Psychiatry: An overview.Asian journal of psychiatry · 2022Review
- Wisdom and fluid intelligence are dissociable in healthy older adults.International psychogeriatrics · 2022Article
- Wisdom: Meaning, structure, types, arguments, and future concerns.Current psychology (New Brunswick, N.J.) · 2022Article
- Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Review
- Moving from Humanities to Sciences: A New Model of Wisdom Fortified by Sciences of Neurobiology, Medicine, and Evolution.Psychological inquiry · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe ultimate goal of artificial intelligence (AI) is to develop technologies that are best able to serve humanity. This will require advancements that go beyond the basic components of general intelligence. The term "intelligence" does not best represent the technological needs of advancing society, because it is "wisdom", rather than intelligence, that is associated with greater well-being, happiness, health, and perhaps even longevity of the individual and the society. Thus, the future need in technology is for artificial wisdom (AW).
methodsWe examine the constructs of human intelligence and human wisdom in terms of their basic components, neurobiology, and relationship to aging, based on published empirical literature. We review the development of AI as inspired and driven by the model of human intelligence, and consider possible governing principles for AW that would enable humans to develop computers which can operationally utilize wise principles and result in wise acts. We review relevant examples of current efforts to develop such wise technologies.
resultsAW systems will be based on developmental models of the neurobiology of human wisdom. These AW systems need to be able to a) learn from experience and self-correct; b) exhibit compassionate, unbiased, and ethical behaviors; and c) discern human emotions and help the human users to regulate their emotions and make wise decisions.
conclusionsA close collaboration among computer scientists, neuroscientists, mental health experts, and ethicists is necessary for developing AW technologies, which will emulate the qualities of wise humans and thus serve the greatest benefit to humanity. Just as human intelligence and AI have helped further the understanding and usefulness of each other, human wisdom and AW can aid in promoting each other's growth.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.