Ethical AI & Technology Governance Basics – 1 Day Workshop | Darwin
Description
🎉 Bringing friends makes learning even better!
Tired of attending workshops alone? Gather your colleagues, friends, or team members and join the session together.
Contact info@mangates.com to unlock our exclusive group discounts and special offers for group bookings.
Don't miss out—exciting deals are available for a limited time. Enquire today and save more when you learn together!.
Bring your team and save:
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, snacks, and beverages will be provided during the session.
If you would like weekend training sessions, kindly reach out to us at info@mangates.com for availability and scheduling.
Course Overview:
This workshop provides a practical and structured understanding of how to design, manage, and govern AI systems responsibly. Participants will explore ethical frameworks, accountability structures, bias awareness, regulatory implications, and transparency practices to ensure AI systems align with human values. Through guided discussions and scenario-based activities, attendees will learn how to make ethical decisions, reduce harm, and integrate governance controls into real-world AI development and deployment.
Learning Objectives:
• Understand ethical risks and human impact of AI systems
• Detect and mitigate algorithmic bias and fairness issues
• Apply governance frameworks to AI development workflows
• Navigate emerging global AI regulations and compliance requirements
• Create transparent, accountable, and responsible AI processes
• Develop a practical ethical AI implementation plan
Target Audience:
• AI & Technology Leaders
• Compliance, Legal & Risk Professionals
• Policymakers and Public Sector Advisors
• Product Managers and Innovation Teams
• Organizational Governance & Strategy Stakeholders
Why Choose This Course?
AI is rapidly shaping business, policy, and society — yet many organizations struggle to implement governance frameworks that ensure fairness, safety, and accountability. This program translates complex ethical concepts into simple, practical tools that professionals can apply immediately.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Want to train your entire team?
In-house sessions can be fully customized to your organization’s policies, industry regulations, risk exposure, and AI maturity level — ensuring the learning directly applies to real workflows and decision-making contexts.
📧 Contact us today to schedule a customized in-house session: corporate@mangates.com
FAQs
- Do I need technical AI experience to attend?
No — concepts are explained clearly for all backgrounds.
- Does the course cover real-world examples?
Yes — practical case studies are included.
- Will we discuss AI regulations?
Yes — including global policy and compliance updates.
- Can this help reduce ethical or PR risks?
Yes — governance strategies directly support risk reduction.
- Is this course useful for leadership teams?
Absolutely — decision-making frameworks are a key focus.
- Can this apply to public sector or government?
Yes — governance and accountability models are adaptable.
- Do I get a certificate?
Yes, a completion certificate is included.
- Can the course be customized for my organization?
Yes — in-house tailored versions are available.
- Is there a hands-on workshop component?
Yes — activities, role plays, and simulations are integrated.
- Is lunch included?
Yes, lunch and refreshments are provided.
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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