Artificial intelligence and sustainable development goals nexus via four vantage points
Technology in Society, ISSN: 0160-791X, Vol: 72, Page: 102171
2023
- 30Citations
- 192Captures
- 3Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Artificial Intelligence (AI) should aim at benefiting society, the economy, and the environment, i.e., AI should aim to be socially good. The UN-defined Sustainable Development Goals (SDGs) are the best depiction to measure social good. For AI to be socially good, it must support all 17 UN SDGs. Our work provides a unique insight into AI on all fronts including Curricula, Frameworks, Projects, and Research papers. We then analyze these datasets to extract meaningful information for policymakers and researchers alike - shedding light on how AI is being used and can potentially be employed in the future to achieve the SDGs. To this end, we devised a methodology using keyword-matching and keyword-similarity to compute the relevance of the SDGs for a given document. SDG metadata and AI4SDG Projects (Oxford initiative on AI4SDGs) were used to validate our methodology. We find an imbalance of coverage with SDG 9 (Industry Innovation and Infrastructure) having the highest representation (with 50.3% of our data containing references to it) compared to SDGs 5, 6, 14, and 15, which have the lowest representation (5% of observed data). Findings from this study suggest that the development of AI technology is focused on improving the current economic growth, but it might neglect important societal and environmental issues.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0160791X22003128; http://dx.doi.org/10.1016/j.techsoc.2022.102171; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85144017956&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0160791X22003128; https://dx.doi.org/10.1016/j.techsoc.2022.102171
Elsevier BV
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