Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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If one considers the past few decades, one easily sees how things went off the rails early once the energy of the web/internet (out of U.S. DoD) was let loose (let's "www" for now). My position on the matters comes from a long career in advanced computational systems where we had met assumed "maturity" goals up to Level 5 (related to the SEI's CMM) while being engaged in supporting serious engineering work, namely that of the type related to the folks who get degreed in the subjects certified by the engineering schools of the University experience. This class of people has been responsible for progress in society for quite some time. Yet, the aura and waftings of the www started many types of dynamics that resulted in something recently that has obviously less than desirable tendencies. One of our purposes might be to bring out the lost/hidden information that could have been a stablizing influence. KBE versus MBE/MBSE might be a good focal points for this.
JMS -- Digital engineering (with twins and simulation) is one side of a coin that has gone out of balance. On the other side? Choices abound. But carrying forward discussion and experimental interest about advantages of the knowledge era (KBS/KBE) would go a long way. In particular, truth maintenance was no more complex/complicated than the ways of late that are problematic. One issue was dissonance associated with rules and their ways, however a mere change to constraint handling (model-based approaches at their best - prototyped then - being ressurected now in the energetic/agentic move toward dominance - which needs a little wisdom) resulted in what were fanstastic (and repeatable) benefits all around. Oh yes, some of the nuances of machine learning are different; however, KBS/KBE was fully attuned to that piece of the pie with operational effectiveness. Like this latest Vatican release suggests, people are the true focus. KBS/KBE had this as it core truth (engineering, of course).
Then add the data centers that ruin communities and you have a total deception. Ai and social media was not invented by big tech. They were my inventions. Want proof, read my article in my profile. Apple did not invent the modern phone either, another one of mine. Read the article.
We spend so much time asking whether AI is smart enough, but not enough time asking whether it is shaping people in healthy ways. Technology always changes culture slowly before people fully notice it. I am glad that we are having this kind of conversation.
Matthew Kilkenny I asked ChatGPT where its moral compass points, and why. The answer was interesting. It is not based on one religion, doctrine, or theological tradition. But many AI ethics principles — dignity, fairness, accountability, compassion, truthfulness, responsibility, restraint, care for the vulnerable, and responsible use of power — appear repeatedly across Christianity, Islam, Judaism, Buddhism, Hinduism, Sikhism, and secular humanism. I wouldn’t put a fake statistic on it, but 70–80% overlap in broad moral themes feels reasonable. The differences matter. Theology, ritual, authority, salvation, justice, sexuality, gender, violence, forgiveness, and obedience can differ dramatically. But the moral overlap is hard to ignore. Perhaps AI alignment is not just about aligning machines. It is about whether humanity can agree on the values we wish to align them to. Are we teaching AI what we value, or discovering we never fully agreed on it?
Nick O'Rourke for context dropped last year:
ETHICAL-Ai-NOW is all our responsibility do you agree or disagree?
Nick O'Rourke Posted nearly two yrs ago :
The church has taught for millennia that gaud works in mysterious ways. Well, how do people know that gsud is not talking to them through AI? What happens when people stop paying the church for spiritual advice and start paying AI. You see, the business model that the church relies on is now about to fail and crumble. I think the church is and always has been fighting the wrong problem. The church wanted faithful for their money wo the works. Now, the rubber needs to meet the road once and for all. Not just for christianity, but every religion, and buddhism. Every spiritual leader had the same message .. love thy neighbor, as you love yourself! .. full stop. If the churches, synagogues, temples, and other institutions cant find a way to reinforce that message, AI will. It will remove all the barriers, take the money, and reinforce its message by telling people that organized religion is bad.
lol as if there really was an ecumenical assembly among global religious hierarchy. That is unethical, you know, to generate fictional propaganda.
And you dare to include Indigenous people who were massacred and exposed to smallpox by Catholics. You need to review your sense of reality, which is the greater threat of AI.
Thaddeus Gutierrez Im Irish think again before you dare accuse me of anything!
Important perspective. The conversation around AI is no longer just about capability. It's also about values, responsibility and the kind of future we want to build alongside these technologies.
Md Rakib Hasan as discussed previouly and we need to pivot accordingly or become irrelevant eventully after the hype bubble?
Matthew Kilkenny This really resonates. What stands out to me is how much of this plays out through attention. If AI is becoming invisible moral infrastructure, then it is also shaping what we notice, what we value, and what we give our attention to over time. In an always-on environment, that influence becomes continuous. Attention is being guided long before we consciously reflect on it. So the question may not only be what AI is doing to the human spirit, but whether we understand attention well enough to protect it. Because that is where experience, judgment, and meaning are actually formed in real time. - James
I agree that we need to examine not only what AI can do, but what organizational structures we build around it. One of the biggest lessons I've learned working with enterprise AI is that failures rarely come from the model alone. They come from human decisions about objectives, incentives, authority, accountability, oversight, and acceptable risk. The question isn't simply "aligned to what?" but also "who gets to decide, how is that decision made, and what happens when values conflict?" Technology may not be morally neutral, but governance isn't either. AI may be the technology, but governance is where our values become operational. Every risk threshold, escalation path, approval process, and deployment decision reflects a choice about what we value and what we are willing to accept.
Pope Leo XIV's encyclical "Magnifica Humanitas" just gave a moral megaphone to the work I do every day. 🕊️ I’ve spent half a decade, studying how algorithms make decisions. As founder of DecodedAlgorithms, I reverse-engineer the algorithms that quietly decide who gets a loan, a job, a home. When a résumé screener bins your application because of a gap or a keyword, and not even HR can explain why, that’s not efficiency, that’s automated exclusion. DecodedAlgorithms steps in, accesses the logic of the algorithms companies hide behind, and breaks the silence. The solution isn’t to wait for regulation or papal pressure to trickle down. It’s to decode the algorithms now. DecodedAlgorithms helps translate the technical jargon of algorithms into a clear, actionable plan so you can improve your application faster and succeed sooner. Transparency you can use, TODAY not just a headline. Learn more at : for more updates at : hashtag#PopeLeoXIV hashtag#MagnificaHumanitas hashtag#AITransparency hashtag#AIEthics hashtag#AlgorithmAudit hashtag#DecodedAlgorithms
The release of Magnifica Humanitas proves that the AI revolution has officially evolved from a technical challenge into a profound anthropological and civilizational moment, Matthew. Silicon Valley can no longer bypass the deeper ethical questions of alignment by focusing solely on technical optimization, power, or profit.
Amanda Kasmira Brown, I am glad this encyclical helps endorse all those who worked tirelessly here on LinkedIn over the years for the mission to help protect humanity in the AI supercycle. The time has arrived for ethicalainow.com and I will move to substack for deeper reflections. Thank you for elevating the discussion.
Amanda Kasmira Brown, I am glad this encyclical endorses all those who have worked tirelessly here on LinkedIn over the years to advance the mission of protecting humanity in the AI supercycle. The time has arrived for ethicalainow.com, and I will move to Substack for deeper reflections. Thank you for elevating the discussion.