There are two current discussions that warrant using open and inclusive and ethical AI, one being the COP26 Climate Change conference in Glasgow that seeks hard commitments and Nationally Determined Contributions to the Paris Agreement goals to result in timelines with goals. The other is a convergence of new technologies that hint at a decentralization of services provided through the internet and cloud computing. Controllable AI implies compartmentalization of services with a WELL DEFINED STRATEGY for goals and objectives, and Google is aiming to bring AI to edge computing data centers. This suggests that accountable (explainable), controllable and ethical AI will require a layered strategies approach. Achieving the much needed goals sets by the Paris Agreement and those being hammered out at Glasgow will require the use of AI for monitoring, tweaking and path steering efforts for millions of projects that are typically done from the bottom up, the national levels. We have a unique opportunity here to define accountable, controllable and ethical AI for decentralized use and get industry support for such a use. I suggest a systematic review of AI on controllability, accountability (explainability) and ethical use and a systematic review on AI at edge computing level. Suffice it to say that StratML can play an important role in the strategy planning and execution for the implied strategy layers approach. Milton Ponson GSM: +297 747 8280 PO Box 1154, Oranjestad Aruba, Dutch Caribbean Project Paradigm: Bringing the ICT tools for sustainable development to all stakeholders worldwide through collaborative research on applied mathematics, advanced modeling, software and standards development
Received on Tuesday, 9 November 2021 23:19:17 UTC