タグ: Compliance

• For Those Who Can’t Ask “What Is AI?” Anymore (6)What is an AI Agent?

  What is an AI Agent?Think of it as a digital coordinato…

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

  2025年10月24日

  未分類

  access control, Agentic AI, AI agents, AI Safety, best practices, calendar automation, change management, checklists, Compliance, customer support, Digital Transformation, enterprise AI, governance, human in the loop, IT governance, knowledge work, marketing ops, operations, orchestration, playbooks, process design, productivity, project management, prompting, Risk Management, RPA vs AI agents, templating, trigger design, work enablement, workflow automation

• 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