Some years ago, before AI was commonplace as a term, I speculated:
The co-creative learning methodology led us understand who rules, how and why?
If “agnostic” AI were given free reign to explore who rules, how and why?, would it not arrive at the same conclusions?
Michael Finesilver’s essay navigates this and associated questions comprehensively:
Artificial Intelligence – The Challenge by Michael I Finesilver
AI is here. You can’t stop it. So get used to it!
AI is being heavily promoted as the new smart high tech solution to humanity’s troubles. So, can it deliver what’s urgently needed …or not?
Which means: Can it help resolve the most difficult and complex challenges now facing humanity? And if it can’t, who can and how?
When talking of computing, there is an old adage which also applies to many other things, “rubbish in/rubbish out”. Properly configured, AI and machine learning are useful tools to enhance and augment human intelligence. We discussed the use of AI and machine learning (ML) in our paper, The Money Paradox.
The combination of open source, co-creative development and the digital tools derived therefrom are foundations for a new paradigm of real human sustainability, rather than the faux, false promises of “sustainable development goals” under UN’s Agenda 2030.