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PRODID:-//Crossworks - Project Management. Leadership. AI Trainings. - ECPv6.17.5//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://crossworks.ph
X-WR-CALDESC:Events for Crossworks - Project Management. Leadership. AI Trainings.
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TZID:Asia/Manila
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TZOFFSETFROM:+0800
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DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Manila:20270304T080000
DTEND;TZID=Asia/Manila:20270305T120000
DTSTAMP:20260921T061247Z
CREATED:20260921T061132Z
LAST-MODIFIED:20260921T061247Z
UID:10000391-1804147200-1804248000@crossworks.ph
SUMMARY:Auditing Artificial Intelligence Management Systems based on ISO 42001
DESCRIPTION:Auditing Artificial Intelligence Management Systems based on ISO 42001\n\n\nThis course equips participants with the knowledge and skills necessary to plan\, conduct\, and report on internal audits of an Artificial Intelligence Management System (AIMS) based on ISO 42001. Participants will learn the principles of auditing artificial intelligence management systems\, the specific requirements of ISO 42001 from an auditor’s perspective\, and best practices for conducting effective and value-added audits in a virtual environment. This course is designed for individuals who will be performing internal audits of an ISO 42001-based AIMS. \nUpon completion of this course\, participants will be able to:\n\nUnderstand the principles of auditing as defined in ISO 19011\nInterpret the requirements of ISO 42001 from an audit perspective\nPlan and prepare for an internal audit of an AIMS\nDevelop audit checklists and working documents\nConduct effective audit interviews in a virtual setting\nGather and evaluate audit evidence related to AI processes and controls\nIdentify and document audit findings\, including nonconformities\, observations\, and strengths\nPrepare audit reports that are clear\, concise\, and objective\nUnderstand the follow-up process for audit findings\nApply auditing techniques specific to AI systems (e.g.\, bias detection\, transparency\, accountability)\n\nCourse Outline :\nDay 1 : \nModule 1: Principles of Auditing and ISO 19011 \n\nIntroduction to Auditing: Definition\, Types of Audits\nThe Principles of Auditing\nOverview of ISO 19011: Guidelines for Auditing Management Systems\nManaging an Audit Program\nRoles and Responsibilities of Auditors\nEthical Considerations for Auditors\n\nModule 2: Auditing the Requirements of ISO 42001 \n\nAuditing Clause 4: Context of the Organization (Understanding AI landscape\, stakeholder expectations)\nAuditing Clause 5: Leadership (Commitment\, AI Policy\, Assignment of Responsibilities)\nAuditing Clause 6: Planning (AI Risk Assessment and Treatment\, AI Objectives and Planning)\nAuditing Clause 7: Support (Resources\, Competence\, Awareness\, Communication\, Documented Information related to AI)\n\nModule 3: Planning and Preparing for an AIMS Audit (0.5 hours) \n\nDefining the Audit Objectives\, Scope\, and Criteria\nEstablishing the Audit Team\nDeveloping the Audit Plan\nPreparing Audit Checklists and Working Documents for AI-specific processes\n\nDay 2 : \nModule 4: Conducting the AIMS Audit \n\nOpening Meeting (Purpose and Agenda)\nConducting Audit Interviews Effectively in a Virtual Environment\nGathering and Verifying Audit Evidence related to AI systems and processes\nEvaluating Audit Evidence against ISO 42001 requirements\nAuditing Specific AI Aspects:\nData Management and Governance\nAI Development Lifecycle Controls\nValidation and Verification Processes\nHuman Oversight and Decision-Making\nManagement of Bias\, Fairness\, and Transparency\nAccountability Mechanisms\n\nModule 5: Documenting Audit Findings and Reporting (1.5 hours) \n\nIdentifying and Classifying Audit Findings (Nonconformities\, Observations\, Strengths)\nWriting Clear\, Concise\, and Objective Audit Findings\nPreparing the Audit Report: Content and Structure\nCommunicating Audit Findings to the Auditee\nClosing Meeting (Presenting Audit Findings)\n\nModule 6: Audit Follow-up and Continual Improvement (0.5 hours) \n\nThe Importance of Corrective Actions\nEvaluating the Effectiveness of Corrective Actions\nThe Role of Auditing in the Continual Improvement of the AIMS\n\nCourse Duration\n\n2 half-days – Online Classroom\n\nTarget Audience:\n\nInternal Auditors\nQuality Management Professionals responsible for internal audits\nAI Project Managers and Team Members involved in AIMS compliance\nIndividuals seeking to become qualified internal auditors for ISO 42001\nConsultants assisting organizations with AIMS audits\n\n\n\n\n\n\n\nCourse Name\nAuditing Artificial Intelligence Management Systems based on ISO 42001\n\n\nTraining Dates\nMarch 4-5\, 2027\n\n\nTraining Time\n8:00AM – 12:00NN\n\n\nTraining Venue\nOnline via MS TEAMS (link to be provided after registration)\n\n\nCourse Fee\n\n\n\n\nStandard Rate\nPhp 15\,000\n\n\nEarly Bird Rate (Until February 18\, 2027)\nPhp 13\,500\n\n\nGroup of 4 Rate (Contact Us to Register)\nPhp 12\,750\n\n\n\n\n\n\nInclusive Of\n\n\n\n\nSoft copy of Course Materials and Handouts\nSoft copy of Course Certificates
URL:https://crossworks.ph/event/auditing-artificial-intelligence-management-systems-based-on-iso-42001/
LOCATION:Online
CATEGORIES:Online
ATTACH;FMTTYPE=image/png:https://crossworks.ph/wp-content/uploads/2025/10/CourseImage-OC-AUDAI.png
ORGANIZER;CN="Crossworks Training and Consulting Corp":MAILTO:info@crossworks.ph
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BEGIN:VEVENT
DTSTART;TZID=Asia/Manila:20270319T090000
DTEND;TZID=Asia/Manila:20270319T170000
DTSTAMP:20260921T025848Z
CREATED:20260921T025727Z
LAST-MODIFIED:20260921T025848Z
UID:10000378-1805446800-1805475600@crossworks.ph
SUMMARY:Fundamentals of Artificial Intelligence for Workplace Productivity
DESCRIPTION:Fundamentals of Artificial Intelligence for Workplace Productivity\n\n\nArtificial Intelligence is rapidly transforming the modern workplace\, but many employees still struggle with understanding what AI truly is\, how to use it effectively\, and how to apply it responsibly in daily work. This highly practical one-day training program equips office personnel with the foundational knowledge and hands-on skills needed to use AI tools productively\, ethically\, and confidently. \nParticipants will learn how AI works in simple business terms\, explore common misconceptions about AI\, and practice using AI tools to improve communication\, research\, analysis\, planning\, brainstorming\, and content creation. Approximately 70% of the program is hands-on\, with guided exercises that are AI-tool agnostic and can be completed using free versions of widely available AI platforms. \nAt the end of this course\, participants should be able to\n\nExplain what Artificial Intelligence is in simple workplace terms\nDifferentiate between AI realities and common misconceptions\nIdentify practical workplace applications of AI\nWrite clear and effective prompts to generate better AI outputs\nUse AI tools to improve productivity in communication\, planning\, analysis\, and content creation\nEvaluate AI-generated outputs critically for accuracy and quality\nApply ethical and responsible AI practices in the workplace\nCreate a simple personal action plan for integrating AI into daily work\n\nCourse Outline\n\nModule 1 — Understanding AI and Dispelling Misconceptions\n\nWhat is AI\nCommon AI Misconceptions\nStrengths and Limitations of AI\nWorkplace Applications of AI\nActivity – AI or Human?\n\n\nModule 2 — Foundations of Effective AI Usage\n\nFundamentals of Prompting\nCLEAR Prompt Framework\nPrompting Demonstration\n\n\nHands-On Lab 1 – Prompting Fundamentals\n\nExercise 1 – Improving Bad Prompts\nExercise 2 – AI Conversation Technique\nExercise 3 – Prompt Relay Challenge\n\n\nHands-On Lab 2 – AI for Everyday Office Productivity\n\nExercise 4 – Email and Communication Productivity\nExercise 5 – Meeting and Documentation Support\nExercise 6 – Brainstorming and Idea Generation\nExercise 7 – Planning and Organization\n\n\nHands-On Lab 3 – AI for Communications\, Research\, and Analysis\n\nExercise 8 – Research Assistant Simulation\nExercise 9 – Data Interpretation Practice\nExercise 10 – Presentation and Content Support\n\n\nModule 3 — Ethical and Responsible Use of AI\n\nEthical Use of AI\nData Privacy and Confidentiality\nAI Bias and Inaccuracies\nOrganizational Guidelines\nActivity – Is this safe to upload?\n\n\nCapstone Activity – apply all learning into an integrated simulation\n\nCourse Duration\n\n1 day – face to face\n\nDelivery Methodologies\n\nLecture\nHands-On Lab Exercises\n\nThis course is recommended for\n\nOffice Personnel from any department who want to leverage Artificial Intelligence for their work\n\nCourse Requirements\n\nParticipants should have a laptop with internet access and an AI Tool Installed (e.g.\, ChatGPT\, Google Gemini\, Microsoft Copilot\, Claude\, etc.).\n\n  \n\n\n\n\n\nCourse Name\nFundamentals of Artificial Intelligence for Workplace Productivity\n\n\nTraining Dates\nMarch 19\, 2027\n\n\nTraining Time\n9:00AM – 5:00PM\n\n\nTraining Venue\nMarco Polo Ortigas Manila\n\n\nCourse Fee\n\n\n\n\nStandard Rate\nPhp 15\,000\n\n\nEarly Bird Rate (Until March 5\, 2027)\nPhp 13\,500\n\n\nGroup of 4 Rate (Contact Us to Register)\nPhp 12\,750\n\n\n\n\n\n\nInclusive Of\n\n\n\n\nCourse Materials and Handouts\nCourse Certificates\nBuffet Lunch (if available\, otherwise plated) and AM/PM Snacks
URL:https://crossworks.ph/event/fundamentals-of-artificial-intelligence-for-workplace-productivity-3/
LOCATION:Marco Polo Ortigas Manila\, Meralco Avenue\, Sapphire Rd\, Ortigas Center\,\, Pasig\, Metro Manila\, 1600\, Philippines
CATEGORIES:Face-to-Face
ATTACH;FMTTYPE=image/png:https://crossworks.ph/wp-content/uploads/2026/08/CourseImage-EB-FAI.png
ORGANIZER;CN="Crossworks Training and Consulting Corp":MAILTO:info@crossworks.ph
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