Browse Comments

Read, filter, and explore individual value-coded comments from the LinkedIn corpus.

↓ Export filtered CSV
607 comments matched  ·  page 16 of 31
Thank you for your reflections. I’ve ordered a hard copy, which will arrive in July – perfect for a slow summer read and reflection. Honestly, Francis, and now Leo, are drawing this "wayward" Catholic back to Mass more and more. Our moral obligations don't go away with AI, no matter what the tech bros say or do.
AI Policy & Regulation value: beneficence for: humanity optimistic approval → raw LLM
Clara, your theological training makes you the ideal person to see what this encyclical does beneath its language. You quote "shared discernment." Shared with whom? The panel, all men. The signatories, all men. The Dicastery, all men. Where is the "shared"? You note doctrine "evolves." This institution took until 1992 to acknowledge Galileo was right. Evolution at geological speed, always after t…
AI Policy & Regulation value: transparency + fairness for: vulnerable_groups critical outrage → raw LLM
The question also extends to how the control is done, how much of AI are we implementing in our lives? Who controls that? Healthcare is a field that benefits the most from AI, and we need more people there but does it make more money....
AI Policy & Regulation value: fairness for: society critical mixed → raw LLM
Pascal BORNET part of this awareness that we champion, is understanding that AI is not just a resource. It is a new environment for human cognition. And the implications of a small group controlling a cognitive environment are unknown, at best.
AI Policy & Regulation value: accountability for: humanity skeptical fear → raw LLM
This is the correction phase of the AI hype cycle that many experienced engineers expected. AI absolutely boosts productivity, but “replace engineers” was always a flawed framing. Engineering is not just code generation — it’s architecture, trade-offs, debugging ambiguous failures, domain understanding, operational ownership, and long-term maintainability. What many companies underestimated:• Tok…
Workplace & Jobs value: human_autonomy for: workers demanding approval → raw LLM
I also come to the world of AI in education via Theology, and also value the time to read closely. I'm not at all surprised by the number of philosophy, theology and ethics folks doing this work in education.
AI Policy & Regulation value: dignity for: individual_users optimistic approval → raw LLM
A desperate attempt maybe to stay relevant in topics they know nothing about. AI use and consequences are ethical topics, not religious ones.
AI Policy & Regulation value: none skeptical outrage → raw LLM
William Waites I am really currious to hear from the Academic Integrity officers that will work on this wave of assessments and dissertations because the agentic revoluction, claude cowork/code, and OpenAI codex have diffused very recently and they offer a new level of options that are starting to percolate down to students. It is probably a minority of students using them effectively, but I foun…
AI Research & Models value: unclear for: individual_users skeptical unclear → raw LLM
The industry is moving from AI hype to AI accountability. The real question was never whether AI can replace humans — it’s whether companies can use it sustainably, strategically, and at scale. The future belongs to organizations that combine human expertise with AI efficiency, not those trying to choose one over the other.
Workplace & Jobs value: accountability + sustainability for: organisations demanding approval → raw LLM
Steady State Of Human Flourishing is the goal. Maximally Beneficial AI for Humanity is the means. That is what we need. With current AI: Humanity is sleepwalking into surrendering human dignity, agency, labor, morality, and even war-making to systems optimized for power, speed, profit, and control.
AI Safety & Risk value: human_autonomy + beneficence for: humanity demanding fear → raw LLM
Václav Šulista thank you for always supporting the mission and being the first to purchase from the online store to help raise the discussion on ethical-AI-now brother. That will never be forgotten!
AI Safety & Risk value: none for: individual_users optimistic approval → raw LLM
Soon down the road, at this scale, AI will likely run out of compute capacity too. Recently, in North America, so much push back is coming against new AI data centers. Even, some environmental agencies are scrapping proposals of new AI data centers as studies are out about surrounding environmental impacts of such infrastructures. Even on local computation infra, when we observe the mac mini shor…
Workplace & Jobs value: sustainability for: society skeptical fear → raw LLM
This hits the core of the issue, Matthew Kilkenny. Technology is never morally neutral. When organizations chase speed over human experience, they sacrifice their "moral imagination". Real resilience requires anchoring our processes in humanity long before we deploy the algorithms.
AI Safety & Risk value: human_autonomy + beneficence for: humanity demanding approval → raw LLM
If AI systems increasingly shape what billions of people see, believe and desire... who should decide the values embedded within them?
AI Safety & Risk value: accountability for: humanity demanding fear → raw LLM
This is not just digital transformation anymore — it’s institutional transformation at scale. The UAE continues to position itself as a global model for AI-native governance, where speed, intelligence, and execution are embedded directly into public services and decision-making systems. The real differentiator will not only be the technology itself, but the governance, trust, and strategic vision…
AI Policy & Regulation value: beneficence for: society optimistic approval → raw LLM
Alexey Volkov 🇺🇦 cuts deeper. Narrow AI as assisting tools CAN have ROI. General AI is science fiction and not safely implementable with the current state of human intelligence. A fools mission, based on hopium.
AI Policy & Regulation value: safety for: humanity skeptical fear → raw LLM
I agree. The real question is not only whether AI is “aligned,” but what kind of human record it stabilizes under pressure. I recently explored this through functional emotion, AI alignment, and the awareness tensor: emotion-like AI structures may not be feeling, but they can still shape restraint, salience, and moral behavior. That makes AI ethics anthropological, not merely technical.
AI Safety & Risk value: beneficence for: humanity demanding approval → raw LLM
AI is incredibly powerful, but clients today are looking beyond the hype. The companies winning with AI are not the ones replacing people blindly, but the ones combining strong talent with the right AI tools. In sales, relationships, trust, negotiation, and understanding client pain points still require human intelligence. AI can accelerate can accelerate pour workflows, research, outreach, and a…
Workplace & Jobs value: human_autonomy + beneficence for: individual_users optimistic approval → raw LLM
I will say this. I can understand this analogy - for sure. It makes sense (as do other similar analogies about AI and process and experience and what not). However, I am also wondering if maybe we shouldn't gloss over that, at least with this example, maybe the "process" is also underplaying an imbalance in the means of production? I am not trying to sidetrack this analogy too much (and I can see…
AI Products & Tools value: economic_equity + beneficence for: vulnerable_groups critical mixed → raw LLM
Clara, the framing of schools as civilizational institutions responsible for human formation — not just workforce pipelines — is exactly the kind of language this conversation needs more of. And your instinct to slow down before interpreting a 144-page theological document is itself a form of the discernment the encyclical is apparently calling for. That irony wasn't lost on me. The phrase that s…
AI Policy & Regulation value: human_autonomy + beneficence for: individual_users critical fear → raw LLM
← Prev 1 2 3 14 15 16 17 18 29 30 31 Next →