AI Governance, Ethics & Child Digital Wellbeing Course

Name: AI Governance: Ethics & Child Digital Wellbeing
Availability: InStock

Mastering Ethical AI Frameworks, Regulatory Strategies, and Safeguarding Children's Digital Wellbeing in the AI Era

AI Governance, Ethics & Child Digital Wellbeing Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Kuala Lumpur, New York, Cairo, Amsterdam, Milan, Bangkok and more
Next session: 5 – 9 October 2026, Kuala Lumpur
Average fee: 5,800 €

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AI Governance: Ethics & Child Digital Wellbeing

Course Overview

A Strategic Course on AI Governance, Ethics & Child-Centric Regulation is an advanced corporate training program designed for institutions responding to the profound impact of artificial intelligence on human behavior, mental wellbeing, social cohesion, and institutional trust. As AI-driven systems increasingly shape how individuals—especially children and young people—learn, interact, consume information, and form habits, organizations are expected to adopt governance approaches that address not only compliance, but also societal and psychological consequences.

This course reframes advanced AI governance through a human-centered and wellbeing-oriented lens, integrating ethical accountability, regulatory interpretation, and institutional risk management. Participants will explore how AI systems can unintentionally contribute to behavioral dependency, cyber-victimization, misinformation exposure, and social polarization, and how governance frameworks must proactively address these risks—particularly in child-facing digital environments.

The course emphasizes responsible AI governance by focusing on evidence-informed decision-making, institutional responsibility, and policy coherence. Participants will learn how AI governance structures can incorporate wellbeing indicators, preventive safeguards, and intervention strategies that protect children’s rights, safety, and long-term development. By the end of the program, participants will be equipped to translate complex AI ethics, governance, and wellbeing expectations into practical, defensible strategies that strengthen public trust and support healthier relationships between children, technology, and society.

Target Audience

Senior government officials and policymakers
Public sector executives and strategic advisors
Legal, compliance, and regulatory affairs professionals
Risk management and corporate governance leaders
Digital transformation and innovation leaders
Child protection, safeguarding, and social policy specialists

Targeted Organizational Departments

Governance, Risk, and Compliance
Legal Affairs and Regulatory Compliance
Public Policy and Government Relations
Data Protection and Privacy Offices
Digital Transformation and Innovation
Child Protection and Safeguarding Units

Targeted Industries

Government and Public Administration
Education and Educational Technology
Digital Platforms and Technology Providers
Telecommunications and Media
Healthcare and Social Services
Financial Services and Digital Finance
International and Non-Governmental Organizations

Course Offerings

By the end of this course, participants will be able to:

Interpret advanced AI governance frameworks through a societal and wellbeing lens
Evaluate behavioral, psychological, and social risks arising from AI systems
Apply AI ethics and compliance principles to governance models that account for human impact
Assess AI risk governance challenges affecting children, families, and communities
Design governance approaches that integrate child safety, wellbeing, and prevention strategies
Advise leadership on responsible AI governance grounded in evidence and public accountability
Respond strategically to AI-related incidents involving harm, misinformation, or social impact

Training Methodology

The course adopts an advanced, evidence-informed learning approach combining expert-led dialogue, applied case analysis, and strategic group work. Participants engage in scenario-based discussions reflecting real-world governance challenges where AI systems influence behavior, wellbeing, and social dynamics—particularly among children and young people.

Group exercises focus on identifying governance blind spots linked to behavioral addiction, exposure to harmful content, misinformation, and digital overuse. Participants analyze how governance failures emerge when wellbeing considerations are excluded from policy and oversight. Facilitated simulations enable participants to practice responding to regulatory inquiries, public concern, and ethical crises involving AI-driven harm.

Daily reflection sessions emphasize institutional learning and integration, helping participants align governance, ethics, and wellbeing considerations with their organizational mandates. No tools are provided; instead, participants receive structured insights and applied governance models that can be adapted to their institutional context.

Course Toolbox

Human-centered AI governance frameworks
Behavioral and wellbeing risk assessment examples
Child-centric safeguarding and prevention checklists
Oversight and accountability alignment templates
Strategic decision-making and policy reflection worksheets

Course Agenda

Day 1: Human-Centered Foundations of AI Governance

Topic 1: Evolution of AI governance and societal responsibility
Topic 2: Human-centered and wellbeing-oriented AI governance principles
Topic 3: Ethical accountability and institutional responsibility in AI systems
Topic 4: AI impacts on cognition, behavior, and social interaction
Topic 5: Trust, legitimacy, and public confidence in AI deployment
Topic 6: Positioning wellbeing and child protection as governance priorities
Reflection & Review: Linking AI governance to human and societal impact

Day 2: AI Regulation, Compliance & Institutional Accountability

Topic 1: Global and regional approaches to AI regulation and oversight
Topic 2: Translating regulatory expectations into governance structures
Topic 3: Compliance obligations across the AI lifecycle and user interaction
Topic 4: Oversight mechanisms, enforcement, and accountability models
Topic 5: Managing regulatory uncertainty in evolving digital ecosystems
Topic 6: Aligning compliance, ethics, and societal responsibility
Reflection & Review: Assessing institutional readiness for responsible AI

Day 3: Child-Centric AI Governance & Digital Wellbeing

Topic 1: Children’s rights in AI-driven digital environments
Topic 2: Behavioral dependency, overuse, and attention-shaping risks
Topic 3: Cyber-victimization, harmful content, and online exposure
Topic 4: Governance of AI in education and child-focused services
Topic 5: Long-term developmental and social wellbeing impacts
Topic 6: Embedding child-centric and wellbeing safeguards into governance
Reflection & Review: Protecting children through governance design

Day 4: AI Risk Governance, Ethics & Social Harm

Topic 1: Advanced AI risk governance models and frameworks
Topic 2: Ethical risk identification and prevention strategies
Topic 3: Bias, discrimination, and exclusion affecting children
Topic 4: Misinformation, polarization, and social fragmentation risks
Topic 5: Transparency, explainability, and public accountability
Topic 6: Responding to AI-related harm and ethical failures
Reflection & Review: Ethical leadership under public and regulatory scrutiny

Day 5: Strategic Integration & Sustainable AI Governance

Topic 1: Designing sustainable and wellbeing-oriented AI governance frameworks
Topic 2: Integrating AI governance into digital transformation strategies
Topic 3: Measuring governance effectiveness and societal impact
Topic 4: Institutional learning and continuous improvement mechanisms
Topic 5: Anticipating future regulatory, ethical, and wellbeing challenges
Topic 6: Strategic leadership in responsible and child-centric AI governance
Reflection & Review: From governance insight to institutional action

FAQ

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

Participants should have prior experience in governance, policy, compliance, risk management, or digital leadership roles. The course is designed for advanced professionals and assumes familiarity with regulatory and institutional environments.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day is structured for approximately 4–5 hours, including interactive sessions and discussions. The full course spans five days, totaling approximately 20–25 hours.

How does child-centric AI regulation differ from general AI governance?

Child-centric AI regulation introduces additional safeguards, risk assessments, and governance responsibilities to ensure that AI systems protect children’s rights, safety, and wellbeing beyond standard governance requirements.

How This Course is Different from Other AI Governance Courses

This course moves beyond traditional AI governance by placing human wellbeing, behavioral impact, and child protection at the center of governance strategy. Rather than treating wellbeing as a secondary concern, it positions it as a core governance responsibility alongside compliance and ethics.

Designed for advanced professionals, the course equips participants to address the real-world consequences of AI on individuals and society—particularly children—through evidence-informed governance, accountability, and prevention-oriented strategies. By integrating governance, ethics, risk, and wellbeing into a single strategic framework, the course prepares participants to lead AI initiatives that protect children, strengthen trust, and promote healthier digital ecosystems.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Location	Dates	Duration	Mode	Price
Milan	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€5,700
Manama	Week 51, 2026 20 – 24 December 2026	5 Days	Onsite	€4,700
Sharm El-Sheikh	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€4,100
Istanbul	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€4,500
Porto	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€5,700
London	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€5,700
Accra	Week 02, 2027 17 – 21 January 2027	5 Days	Onsite	€4,100
Lisbon	Week 06, 2027 8 – 12 February 2027	5 Days	Onsite	€5,700
Tashkent	Week 06, 2027 14 – 18 February 2027	5 Days	Onsite	€4,500
Zanzibar	Week 07, 2027 21 – 25 February 2027	5 Days	Onsite	€5,500
Frankfurt	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€5,700
Toronto	Week 11, 2027 21 – 25 March 2027	5 Days	Onsite	€12,000
Abu Dhabi	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€4,700
Chicago	Week 20, 2027 23 – 27 May 2027	5 Days	Onsite	€12,000
Dubai	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€4,500
Singapore	Week 24, 2027 14 – 18 June 2027	5 Days	Onsite	€5,700
Nairobi	Week 24, 2027 20 – 24 June 2027	5 Days	Onsite	€4,500
San Diego	Week 26, 2027 28 June – 2 July 2027	5 Days	Onsite	€14,000
Trabzon	Week 26, 2027 4 – 8 July 2027	5 Days	Onsite	€6,800
Abu Dhabi	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€4,700