ReviewNature communications2020
AI for social good: unlocking the opportunity for positive impact.
Review in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- AI in variant analysis: fast track to genetic diagnoses.Human genetics · 2026Review
- Responsible data selection method for algorithmic personalization of health apps: a case study on promoting mental health.Frontiers in digital health · 2026Article
- Reimagining healthcare education through nurturing AI-driven innovation.BMC medical education · 2025Review
- Explainable AI in early autism detection: a literature review of interpretable machine learning approaches.Discover mental health · 2025Review
- Leveraging digital pathology and AI to transform clinical diagnosis in developing countries.Frontiers in medicine · 2025Article
- Quantifying the use and potential benefits of artificial intelligence in scientific research.Nature human behaviour · 2024Article
- Evolutionary mechanisms that promote cooperation may not promote social welfare.Journal of the Royal Society, Interface · 2024Article
- Understanding and mitigating the impact of race with adversarial autoencoders.Communications medicine · 2024Article
- Review
- Committing to the wrong artificial delegate in a collective-risk dilemma is better than directly committing mistakes.Scientific reports · 2024Article
- AI for social good and the corporate capture of global development.Information technology for development · 2024Article
- Conversational agents enhance women's contribution in online debates.Scientific reports · 2023Article
- Mobile Device-Based Video Screening for Infant Head Lag: An Exploratory Study.Children (Basel, Switzerland) · 2023Article
- AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning.PLOS digital health · 2023Article
- Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence.Scientific reports · 2023Article
- Article
- Positive cyberpsychology as a field of study of the well-being of people interacting with andFrontiers in psychology · 2023Review
- Artificial intelligence research strategy of the United States: critical assessment and policy recommendations.Frontiers in big data · 2023Article
- AI ageism: a critical roadmap for studying age discrimination and exclusion in digitalized societies.AI & society · 2023Article
- Motivation, inclusivity, and realism should drive data science education.F1000Research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world's most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations' 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centred around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.
Identifiers
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.