Clear SOPs, Manuals & Report Writing – 1 Day Training in Perth
Description
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
This workshop offers a practical and structured approach to designing, managing, and governing AI systems responsibly. It covers essential areas such as ethical frameworks, accountability, bias management, regulatory considerations, and transparency. Through interactive discussions and scenario-based learning, participants will gain the skills to make informed ethical decisions, reduce potential risks, and implement effective governance practices in real-world AI applications.
Learning Objectives
Understand the ethical risks and broader human impact of AI systems
Identify and address algorithmic bias and fairness concerns
Apply governance frameworks within AI development and deployment processes
Interpret and respond to evolving global AI regulations and compliance standards
Build transparent, accountable, and responsible AI practices
Create a practical roadmap for implementing ethical AI in your organization
Target Audience
AI and technology leaders
Compliance, legal, and risk professionals
Policymakers and public sector advisors
Product managers and innovation teams
Governance and strategy stakeholders
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Why Choose This Course?
As AI continues to influence business, policy, and society, ensuring responsible and ethical use has become critical. Many organizations face challenges in translating governance principles into actionable practices. This course bridges that gap by simplifying complex ethical concepts and providing practical tools, frameworks, and strategies that can be applied immediately to build trustworthy, compliant, and responsible AI systems.
📧 Contact us today to schedule a customized in-house session: corporate@mangates.com
Description
Agenda
Module 1: Introduction to Ethical AI
• Key principles of ethical AI development • Human-centered values in AI design • Understanding societal impact and responsibility • Icebreaker Activity
Module 2: Bias, Fairness & Transparency
• How bias enters AI systems • Techniques to increase fairness and explain ability • Impact of data sources on model behavior • Activity
Module 3: Organizational Accountability & Leadership
• Accountability models for AI decision-making • Roles of ethics boards and governance teams • Designing responsibility into workflows and approvals • Role Play
Module 4: Policy, Regulation & Compliance
• Overview of global AI regulatory trends • The EU AI Act and regional compliance duties • Aligning internal policy with external expectations • Case Study
Module 5: Responsible AI Deployment at Scale
• Risk assessment and mitigation planning • Monitoring and auditing AI behavior post-launch • Communicating AI system outputs transparently • Simulation
Module 6: Cultural and Human Considerations
• Cultural context and inclusivity in AI systems • Stakeholder engagement and community impact • Balancing innovation with care and trust • Group Brainstorm Activity
Module 7: Implementation & Action Planning
• Creating your ethical AI governance roadmap • Setting measurable oversight and accountability goals • Sustaining responsible AI practice long-term • Action Plan Review
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