タグ: AI Policy

• To Young Teachers(10);Why You Should Never Input Personal Data into Generative AI — Safe AI Literacy for Educators

  300-word Summary In the rapidly evolving landscape of e…

  TobiraAI_ A specialist in Education, AI, and History from Japan

  2025年11月10日

  AI, AI in Education, Global Insights, Japanese Perspectives, Teacher

  AI, AI Ethics in Education, AI For Everyone, AI in Education, AI literacy, AI Policy, AI Regulation, AI Safety, AI Simulation, Andrew Ng, Artificial Intelligence, ChatGPT, Coursera, Data Privacy, Data Security, Digital Ethics, EdTech, education, Empathy Training, Ethics, Generative AI, Machine Learning, Parent Teacher Communication, Professional Development, prompt engineering, Responsible AI, School Technology, teacher training, Teaching Skills, TobiraAI

• For Those Who Can’t Ask “What Is AI?” Anymore (5):AI Governance: Guardrails That Enable, Not Restrain

  Hello, this is Tobira AI, greeting you from this part o…

  TobiraAI_ A specialist in Education, AI, and History from Japan

  2025年10月23日

  AI, AI in Education, Future of Learning, Japanese Perspectives

  Accountability, AI audit, AI best practices, AI Governance, AI in Education, AI in Finance, AI in Government, AI in Healthcare, AI in logistics, AI in Manufacturing, AI in Retail, AI Policy, Automation, Bias Mitigation, Compliance, data ethics, Digital Transformation, Environmental Impact, ethical AI, explainability, Fairness in AI, hard law, Human-Centered AI, Responsible AI, Risk Management, soft law, Sustainability, TobiraAI, Transparency, trust in AI

• For Those Who Can’t Ask “What Is AI?” Anymore (4): Understanding Responsible AI

  This is TobiraAI, writing from this little corner of th…

  TobiraAI_ A specialist in Education, AI, and History from Japan

  2025年10月22日

  未分類

  Accountability, AI Culture, AI Governance, AI in Education, AI in Finance, AI in Government, AI in Healthcare, AI in Manufacturing, AI in Retail, AI Policy, AI Safety, Automation, Bias Mitigation, Compliance, Data Privacy, Decision Making, Digital Transformation, Environmental Impact, Ethical Technology, Ethics in AI, Explainable AI, Fairness in AI, Human Oversight, Human-Centered AI, Privacy by Design, Responsible AI, Risk Management, Sustainability, Transparency, Trustworthy AI

• Escaping the Turing Trap: Choosing Between Automation and Augmentation in AI

  In this article, I would like to introduce “The Turing …

  TobiraAI_ A specialist in Education, AI, and History from Japan

  2025年10月12日

  AI in Education, EdTech & Tools, Future of Learning, Global Insights

  AI, AI Policy, Artificial Intelligence, Augmentation, Automation, Digital Economy, Erik Brynjolfsson, future of work, Human-AI Collaboration, Inequality, Reskilling, Stanford, Technology Ethics, Turing Test, Turing Trap