ArticleScience and engineering ethics2020
How to Design AI for Social Good: Seven Essential Factors.
Article in Science and engineering ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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.
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Who cites it
43 citing papers in PubMed.
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- A framework for AI ethics literacy: development, validation, and its role in fostering students' self-rated learning competence.Scientific reports · 2025Article
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- Evaluating the normative implications of national and international artificial intelligence policies for Sustainable Development Goal 3: good health and well-being.Health affairs scholar · 2025Article
- Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use.Royal Society open science · 2025Review
- Generative Artificial Intelligence in Academic Surgery: Ethical Implications and Transformative Potential.The Journal of surgical research · 2025Review
- Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success.Frontiers in artificial intelligence · 2025Review
- Prudential reasons for designing entitled chatbots: How robot "rights" can improve human well-being.AI and ethics · 2025Article
- Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer.Current urology · 2024Article
- Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical Analysis.Science and engineering ethics · 2024Article
- Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review.Environmental science and ecotechnology · 2024Review
- Ethics dumping in artificial intelligence.Frontiers in artificial intelligence · 2024Article
- Assist me or replace me? Uncovering the influence of AI awareness on employees' counterproductive work behaviors.Frontiers in public health · 2024Article
- The value of standards for health datasets in artificial intelligence-based applications.Nature medicine · 2023Article
- Reimagining the machine learning life cycle to improve educational outcomes of students.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- AI for Anglophone Africa: Unlocking its adoption for responsible solutions in academia-private sector.Frontiers in artificial intelligence · 2023Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good.
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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.