After Using AI: Final Checks Every Student Must Do Before Submitting Their Project

✅ After Using AI: Final Checks Every Student Must Do Before Submitting Their Project Using AI is one thing. Submitting a solid research work is another. Let me tell you what usually happens… A student completes their project using AI, feels confident, and submits it. Then comes supervisor review—and suddenly: “This section is not clear” “Where did you apply this method?” “This doesn’t align with your objective” At that point, it’s too late for excuses. So before […]

https://solomonaganai.wordpress.com/2026/03/22/after-using-ai-final-checks-every-student-must-do-before-submitting-their-project/

After Using AI: Final Checks Every Student Must Do Before Submitting Their Project

✅ After Using AI: Final Checks Every Student Must Do Before Submitting Their Project Using AI is one thing. Submitting a solid research work is another. Let me tell you what usually happens… A stud…

Solomon Agan -AI in Education Consultant

[생각 — 빠르게, 느리게, 그리고 인공지능으로: AI가 인간의 사고 방식을 어떻게 재구성하고 있는가

펜실베이니아대 연구팀은 AI를 단순한 도구가 아닌 '세 번째 사고 시스템(System 3)'으로 제안하며, 인간 사고 모델을 System 1/2에서 System 1/2/3으로 확장했다. 연구는 AI가 외부 인지 시스템으로 작동하며, 사용자들이 AI 결과를 검증 없이 받아들이는 'Cognitive Surrender' 현상을 강조한다. 실험 결과, AI 의존도가 높을수록 성능이 AI 정확도에 직접적으로 영향을 받으며, 오류 상황에서도 자신감이 증가하는 등의 위험 요소를 발견했다.

https://news.hada.io/topic?id=27718

#ai #cognitivesurrender #humancognition #system3 #decisionmaking

생각 — 빠르게, 느리게, 그리고 인공지능으로: AI가 인간의 사고 방식을 어떻게 재구성하고 있는가

<h2>Thinking—Fast, Slow, and Artificial</h2> <h4>AI는 도구가 아니라 ‘세 번째 사고 시스템’이라는 연구</h4> <ul> <li>2026년 1월, 펜실베이니...

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Artificial Intelligence and the Changing Landscape of Human Thinking

Educational Psychology Perspectives on Emerging Schools of Thought Introduction The transition Artificial Intelligence has rapidly moved from being a technological curiosity to becoming an everyday intellectual companion for students, educators, and researchers. Writing assistance, automated summarisation, research discovery tools, and conversational AI systems are now integrated into the academic environment. This transformation has sparked intense debate among educational […]

https://solomonaganai.wordpress.com/2026/03/09/artificial-intelligence-and-the-changing-landscape-of-human-thinking/

Human Judgment in AI-Driven Workflows: Cognitive Sovereignty Over Surrender | Helen Edwards posted on the topic | LinkedIn

The agentic org has grabbed the corporate consciousness. AI agents running workflows, handing tasks to other agents, humans overseeing the whole thing from above. I've spent three years studying how professional expertise and judgment change with Gen AI and I can tell you there is no shortcut here. If you want expertise, you have to stay meaningfully engaged. Our latest research (which we'll publish soon) shows that people who integrate AI into their reasoning — who think with it, argue with it, stay inside the logic — maintain their professional judgment and get more capable over time. We call this cognitive sovereignty. People who get moved into the review seat — check AI's output, approve it, forward it — lose their edge. Steadily and often without noticing. We call this cognitive surrender. I'm no stranger to this. I had years as a technology executive in critical infrastructure — manufacturing control, power grids, many control and decision support technologies, the kind of environments where automation decisions have real, physical world, immediate consequences. The hardest part of automation was keeping the people sharp. When you automate the routine, the humans who remain need to be more expert, not less. And their skills atrophy fast when they stop doing the work that built those skills. This is well-known paradox, humans are just not well suited to monitoring. This used to be a problem for control rooms and cockpits. Now it's everywhere. It's in the process of putting your board papers together. Your quarterly analysis. Your client recommendations. Your legal review. Every time someone's job goes from "do the thinking" to "check what AI thought," you're building the same failure pattern that aviation has been fighting for forty years. This part drives me crazy about the agentic conversation. The word "agentic" is always attached to the AI. Agentic workflows. Agentic systems. The agency belongs to the machine. I think we have the unit of agency backwards. I think we should be thinking about an agentic organization where the humans have agency in their relationship with AI, not the AI having the agency. Are they inside the reasoning? Can they challenge it? Are they building capability or watching it drain away in the name of efficiency? Currently the thinking is: design agents for maximum autonomy then design jobs around monitoring agents. Our research says that produces the worst outcomes. The alternative is to design agents for maximum collaboration then design jobs around reasoning with agents. Keep people where human judgment actually works — inside the cognitive process, not supervising from outside it. The agentic org needs humans who can still think not just more autonomous AI agents sending validation back to passive people. #ai #aiagents #cognitivesovereignty #stayhuman #futureofwork #agenticorg #agenticai | 21 comments on LinkedIn

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