Turbocharging SDGs by Activating Global Cycles in a 64-fold 3D Array
TRANSCEND MEMBERS, 16 Sep 2024
Anthony Judge | Laetus in Praesens - TRANSCEND Media Service
AI-enabled Memorable Pattern Recognition through Colorification and Sonification
Introduction
16 Sep 2024 – As noted in previous experimental use of AI, its possibilities might have been considered of fundamental relevance to the ambitions of the UN Summit of the Future (22-23 Sep 2024). The UN is faced with the relative lack of success in the achievement of the Sustainable Development Goals (Jeffrey D. Sachs, The Summit of the Future, Transcend Media Service, 8 July 2024). Hence the importance currently attached to “turbocharging” the SDGs — whatever this can be held to mean. It remains unclear whether the integrative objectives of such an event will benefit significantly from widespread preoccupation with AI following the UN’s earlier AI for Good Global Summit (2023) — events in which it is does not appear that any significant use is made of AI. Somewhat ironically the new Summit has had the specific intention of ensuring restriction in AI use (Global Digital Compact, 2024).
As noted by René Wadlow with regard to that Summit:
The working papers for the meetings do not present many new ideas. There is to be a final document called “Pact for the Future“. As with all texts which must be agreed to by nearly 200 States, the ideas are general and have usually been presented before. Rather than a Pact for the Future, a Pact for Unfinished Business might be a more appropriate starting point. The Charter of the U.N. was written in the last months of World War Two, and its principle aim was to prevent future wars of the type still going on. (September Challenges, Transcend Media Service, 9 September 2024; UN Summit of the Future: A Structure for Action or a Shopping List? Transcend Media Service, 26 June 2023)
The merit of a 64-fold articulation of insights relating to the binary framings of the challenges of governance has been explored separately (Clarifying a Two-state Pattern Language of 64 Modalities, 2024; Enabling engagement with SDGs through a 64-fold pattern, 2024; Reframing UN’s Global Digital Compact as a coherent memorable pattern, 2024). This notably gave rise experimentally in the case of the UN’s Sustainable Development Goals to their interactive presentation as a 64-fold articulation in 3D on the truncated tesseract, as being of requisite complexity for the challenges of governance at this time — and its comprehensibility (Comprehensible Mapping of the Variety of Fundamental Governance Functions, 2024).
Such presentations frame the further challenge as how to enable comprehension of the dynamics they may imply systemically. This concern is inspired by the many efforts to present complex metabolic pathways in mapping exercises. In the light of that inspiration it can then be asked whether there are psychosocial analogues to such pathways — and how they might best be presented (Memorable Configuration of Psychosocial “Vitamins”, “Amino acids” and “Minerals”, 2024). The 64-fold articulations mapped onto the truncated tesseract are then a point of departure.
The previous mappings were developed in the light of the encoding offered by the 64 hexagrams which were an inspiration of the development of the binary coding basic to computer operation and to the logical connectives fundamental to AI. That encoding embodies the transformation between conditions of change through changes in the line configuration of which the hexagram is composed — as exemplified in the so-called Book of Changes. In the earlier exercise the hexagrams were positioned in the truncated tesseract to take account of simpler and more complex changes — with a simple change resulting in positioning of hexagrams close to one another, for example.
With insights of systemic and/or strategic significance arrayed in this way, the question is then how simple transformations from one condition to another may form cycles through the truncated tesseract. As feedback loops in cybernetic terms, such cycles have been a notable feature of the extensive analysis of the networks of thousands of problems and strategies profiled in the Encyclopedia of World Problems and Human Potential (Feedback Loop Analysis in the Encyclopedia Project, 2000; Tomas Fülöpp, Loop Mining in the Encyclopedia of World Problems, 2015).
More curious at this systemically challenged time is the seeming absence of consideration of the feedback loops within the dynamics implied by the configuration of Sustainable Development Goals given their degree of mutual dependency. Seemingly unique in this respect is the input/output proposal proposal by the Economic and Social Commission for Western Asia (SDGs Indicators as an Input-output System: A Novel Approach to Utilize Interlinkages between SDGs Indicators for Impact Assessment and Projections, E/ESCWA/CL3.SEP/2021/TP.5, 2021). This helps to frame the question as to whether UN preoccupation with SDGs is “cyclically blind,” as can be otherwise argued (Group of 7 Dwarfs: Future-blind and Warning-deaf, 2018).
The question is then how such cycles are best detected, presented and rendered memorable. Hence the related concern with their colorification and sonification — and the dynamics that might be highlighted in a 3D environment (Colorification and sonification of 64-fold patterns of cycles, 2024). The focus here on representation was originally inspired by that of Johan Galtung with respect to Forms of Presentation within the Goals, Process and Indicators of Development Project of the United Nations University (Forms of Presentation and the Future of Comprehension, 1980).
The argument concludes by challenging AI to explore the potential systemic significance of particular global cycles of SDG functionality through narrative articulations. As an alternative to the 64-fold complexity of the truncated tesseract, a 16-fold polyhedral configuration of SDGs is then speculatively presented through the 16-edged facetted square antiprism — as the basis for a “polyhedral abacus” by which progress on SDG achievement could be indicated. That 8-vertexed polyhedron offers a challenge to he imagination by embedding it dynamically within the truncated tesseract — as an exemplification of “turbocharging” SDGs.
As with previous experimental interaction with AI, the responses of ChatGPT 4o are distinctively presented below in grayed areas, in parallel with those of Claude 3.5. Given the length of the document to which the exchange gives rise, the form of presentation has itself been treated as an experiment — in anticipation of the future implication of AI into research documents. Web technology now enables the whole document to be held as a single “page” with only the “questions” to AI rendered immediately visible — a facility developed in this case with the assistance of both ChatGPT and Claude 3 (but not operational in PDF variants of the page, in contrast with the original). Reservations and commentary on the process of interaction with AI to that end have been discussed separately (Methodological comment on experimental use of AI, 2024)
TO CONTINUE READING Go to Original – laetusinpraesens.org
Tags: Artificial Intelligence AI, Sustainable Development Goals SDG, UN Summit of the Future, United Nations
DISCLAIMER: The statements, views and opinions expressed in pieces republished here are solely those of the authors and do not necessarily represent those of TMS. In accordance with title 17 U.S.C. section 107, this material is distributed without profit to those who have expressed a prior interest in receiving the included information for research and educational purposes. TMS has no affiliation whatsoever with the originator of this article nor is TMS endorsed or sponsored by the originator. “GO TO ORIGINAL” links are provided as a convenience to our readers and allow for verification of authenticity. However, as originating pages are often updated by their originating host sites, the versions posted may not match the versions our readers view when clicking the “GO TO ORIGINAL” links. This site contains copyrighted material the use of which has not always been specifically authorized by the copyright owner. We are making such material available in our efforts to advance understanding of environmental, political, human rights, economic, democracy, scientific, and social justice issues, etc. We believe this constitutes a ‘fair use’ of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material on this site is distributed without profit to those who have expressed a prior interest in receiving the included information for research and educational purposes. For more information go to: http://www.law.cornell.edu/uscode/17/107.shtml. If you wish to use copyrighted material from this site for purposes of your own that go beyond ‘fair use’, you must obtain permission from the copyright owner.
Join the discussion!
We welcome debate and dissent, but personal — ad hominem — attacks (on authors, other users or any individual), abuse and defamatory language will not be tolerated. Nor will we tolerate attempts to deliberately disrupt discussions. We aim to maintain an inviting space to focus on intelligent interactions and debates.