Event Highlights Potential of Artificial Intelligence in Enabling SDGs | News | SDG Knowledge Hub

The International Telecommunication Union (ITU) and 40 UN companions convened an occasion on ‘The Role of AI in Achieving the Sustainable Development Goals,’ with a selected concentrate on SDGs 11 (sustainable cities and communities) and 13 (local weather motion). Speakers explored AI’s potential in revealing hidden connections among the many SDGs to optimize coverage responses for higher options.
Co-convened with the Government of Switzerland on 2 February 2023, the occasion was first in the AI for Good Discovery sequence.
According to the ITU occasion web page, whereas AI can allow 134 of the 169 SDG targets throughout all of the Goals, it could inhibit 59. Regulatory perception and oversight for AI-based applied sciences, the introduction notes, have to assist the quick improvement of AI in a approach that may allow sustainable improvement. It warns that failure to take action might end result in transparency, security, and moral gaps, resulting in suboptimal outcomes for the SDGs.
Markus Reichstein, Max Planck Institute for Biogeochemistry, moderated the dialogue.
Ricardo Vinuesa, KTH Royal Institute of Technology, introduced analysis by a global consortium on how machine studying might assist the SDGs. He stated a multi-disciplinary crew, spanning the areas of theoretical and utilized machine studying, biodiversity, sustainable power, regulation, and ethics, amongst others, performed a “consensus-based knowledgeable elicitation course of” to determine printed proof of AI performing both as an enabler or as an inhibitor of the Goals and targets alongside the environmental, social, and financial dimensions.
Vinuesa highlighted that AI was discovered to have a useful influence on 79% of the SDG targets, inhibiting 35%, with environmental targets attracting essentially the most constructive contributions, social targets – the least, and financial targets requiring additional investigation in phrases of potential constructive results of AI.
Among different key outcomes he famous that AI permits new expertise functions, comparable to utilizing satellite tv for pc knowledge to trace poverty, and that gender gaps in knowledge and AI workforce each have to be tackled to allow SDG 5 (gender equality).
Vinuesa additional highlighted that:

Current electrical energy use by the data and communication expertise (ICT) sector stands at 1% of complete use – a determine that’s anticipated to develop to twenty% by 2030, revealing AI’s impacts on the achievement of SDGs 7 (inexpensive and clear power) and 13;
All SDG 11 targets will be positively affected by AI, and machine studying can be utilized to breed, measure, and predict, with excessive ranges of accuracy, air pollution in cities and particular city areas;
Data-driven COVID-19 contact tracing apps would have had extra influence on SDGs 3 (good well being and well-being) and 10 (diminished inequalities) had there been extra penetration; and
While AI expertise is creating very quick, its uptake by people is lagging behind, with the slowest change noticed for governments.

Among challenges to maximizing AI’s enabling potential for the SDGs, Vinuesa talked about the shortage of interpretability of deep studying fashions. Highlighting the necessity to train warning when assessing the influence of AI on the SDGs as a result of Goals’ interconnectedness, he cited an ongoing research that makes use of pure language processing to determine synergies and trade-offs among the many SDGs people might not decide up on, with the target of creating an algorithm to assist keep away from surprising destructive interactions among the many SDGs in coverage choices.
Participants then raised: the rules of transparency and interpretability as important parameters for AI ethics; the necessity to make AI itself extra sustainable by, for instance, creating extra environment friendly algorithms; and the necessity to improve the capability of creating international locations to construct their very own AI fashions.
Among AI’s quite a few constructive functions for the SDGs, Vinuesa highlighted matching electrical energy provide and demand, making higher local weather fashions, figuring out areas of excessive focus of plastic air pollution, and “finetuning” college curricula to particular person college students. [Event ITU Page] [SDG Knowledge Hub Sources]


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