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ITU AI for Good

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For other uses, see AI for Good.
AI for Good
AI for Good Global Summit 2023
Begins6 July 2023
Ends7 July 2023
VenueITU-T
Location(s)Geneva
CountrySwitzerland
Years active6
Most recent2023
Attendance20,000 (2022)
Organised byITU-T
SponsorSwiss Confederation, immersion4 Technology Innovation Institute, Monash University, ZTE
Websiteaiforgood.itu.int

AI for Good is an ongoing webinar series organized by the Standardization Bureau (ITU-T) of the International Telecommunication Union, where AI innovators and problem owners learn, discuss and connect to identify AI solutions to advance the Sustainable Development Goals.[1] The impetus for organizing global summits that are action oriented, came from existing discourse in artificial intelligence (AI) research being dominated by research streams such as the Netflix Prize (improve the movie recommendation algorithm).

AI for Good aims to bring forward Artificial Intelligence research topics that contribute towards more global problems,[2][3] in particular through the Sustainable Development Goals.

AI for Good[4] came out of the AI for Good Global Summit 2020 which had been moved online in 2020 due to the COVID-19 Pandemic. AI for Good is organized by the Standardization Sector of the ITU (ITU-T). Since moving online, AI for Good developed into three main program streams: Learn, Build, and Connect. AI for Good also helps organize ITU's Global Standards Symposium.[5]

2023

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The 2023 events received some publicity due to the large gathering of humanoid robots that occurred, including Ai-Da, Nadine Social Robot, Geminoid, and Sophia.[6]

Neural Network

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In 2020 the Global Summit became an online-only event. In 2022, the summit moved to the "Neural Network" community platform.[7] Speakers include:[8]

Global Summit 2019

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The third AI for Good Global Summit took place from 28 May to 31 May, and gave rise to the ITU Focus Group on Artificial Intelligence for Autonomous and Assisted Driving with several Day 0 workshops and VIP events having taken place on May 27.[9] Some of the speakers included:

Global Summit 2018

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World Health Organization Director-General Tedros Adhanom (right) and ITU Secretary-General Houlin Zhao (center)

The second AI for Good Global Summit took place from 15 to 17 May 2018 at the ITU headquarters in Geneva, Switzerland and generated 35 AI project proposals[10][11][12] Speakers included:[13]

Global Summit 2017

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Fei-Fei Li speaking at AI for Good 2017

The first AI for Good Global summit took place from 7 to 9 June 2017. Speakers at the event included:[14] [15]

One of the outcomes of the 2017 Global Summit was the creation of an ITU-T Focus Group on Machine Learning for 5G.

Outcomes

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Machine Learning 5G

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The ITU-T Focus Group on Machine Learning for 5G Networks (FG-ML5G) was created following discussions at the 2017 AI for Good Global Summit. The FG-ML5G is produced several technology standards in this domain, including Y.3172, Y.3173, Y.3176, which were adopted by ITU-T Study Group 13. The FG-ML5G created the impetus for a new ITU-T Focus Group on Autonomous Networks, which is responsible for i.a. Y.3181.

AI for Health

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The 2018 Global Summit led to the creation of the ITU-WHO Focus Group on Artificial Intelligence for Health with the World Health Organization, which created the AI for Health Framework.[16]

Trustworthy AI

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Together with ITU-T Study Group 16 and 17, AI for Good has been developing technology specifications under Trustworthy AI. Including items on homomorphic encryption, secure multi-party computation, and federated learning.

ITU Journal "ICT Discoveries"

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The ITU relaunched its Journal ICT Discoveries during the 2018 Global Summit, with the first edition being a special on Artificial Intelligence.[17]

Criticism

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Payal Arora criticized AI for Good for its Paternalism towards the Global South.[18]

References

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  1. ^ "AI for Good Global Summit 2018". 17 May 2018. Archived from the original on 2019-09-23. Retrieved 1 June 2018.
  2. ^ Butler, Declan (2017-06-06). "AI summit aims to help world's poorest". Nature. 546 (7657): 196–197. Bibcode:2017Natur.546..196B. doi:10.1038/546196a. ISSN 0028-0836. PMID 28593977.
  3. ^ "How Can We Optimize AI for the Greatest Good, Instead of Profit?". www.technologyreview.com. Retrieved 2018-06-29.
  4. ^ "AI4Good Lab". aiforsocialgood.ca. Archived from the original on 2019-04-27. Retrieved 2019-04-27.
  5. ^ "AI for Good Global Summit 2019 | NTT Technical Review". www.ntt-review.jp. Archived from the original on 2022-10-25. Retrieved 2022-10-25.
  6. ^ Devlin, Hannah (6 July 2023). "Never underestimate a droid: robots gather at AI for Good summit in Geneva". The Guardian. Retrieved 2023-07-09.
  7. ^ "Press Release - Artificial intelligence turbo-charges AI for Good". ITU. Archived from the original on 2022-02-16. Retrieved 2022-02-16.
  8. ^ "2020 Digital Programme". AI for Good Global Summit 2020. Archived from the original on 2020-11-01. Retrieved 2020-08-07.
  9. ^ "Day 1, 28 May 2019 Programme". AI for Good Global Summit. Archived from the original on 2019-11-05. Retrieved 2019-05-28.
  10. ^ "ITU annual global summit generates 35 pioneering AI for Good proposals | OpenGovAsia". www.opengovasia.com. Retrieved 2018-06-29.
  11. ^ "An AI can now tell how malnourished a child is just from a photo | New Scientist". www.newscientist.com. Retrieved 2018-06-29.
  12. ^ ITU (2018-10-02). "Artificial Intelligence for Health: ITU and WHO call for proposals". ITU News. Retrieved 2019-06-21.
  13. ^ "Meet the Experts". www.itu.int. Archived from the original on 2018-12-14. Retrieved 2 June 2018.
  14. ^ "AI for Good Global Summit – Speakers". ITU. Retrieved 2 June 2018.
  15. ^ ITU. AI for Good Global Summit 2017 Report. ITU (Report). Retrieved 25 June 2018.
  16. ^ Bradley, Simon. "AI has 'enormous' potential to transform health sector". SWI swissinfo.ch. Retrieved 2018-06-29.
  17. ^ "The impact of Artificial Intelligence". www.itu.int. Archived from the original on 2019-05-24. Retrieved 2018-07-03.
  18. ^ Arora, Payal (2024-09-05). "When "AI for Good" Goes Wrong - What tech philanthropy must learn to combat the Global South's problems with AI". IEEE Spectrum. Retrieved 2024-09-14.
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