Advanced AI Governance, Ethics & Child-Centric Digital Wellbeing Regulation

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

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Advanced AI Governance, Ethics & Child-Centric Digital Wellbeing Regulation

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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
Dubai	Week 23, 2026 01 - 05 Jun 2026	5 Days	Onsite	€4,500
Dubai	Week 31, 2026 27 - 31 Jul 2026	5 Days	Onsite	€4,500
Amsterdam	Week 34, 2026 17 - 21 Aug 2026	5 Days	Onsite	€5,700
London	Week 35, 2026 24 - 28 Aug 2026	5 Days	Onsite	€5,700
Madrid	Week 37, 2026 07 - 11 Sep 2026	5 Days	Onsite	€5,700
Paris	Week 38, 2026 14 - 18 Sep 2026	5 Days	Onsite	€5,700
Vienna	Week 38, 2026 14 - 18 Sep 2026	5 Days	Onsite	€5,700
Barcelona	Week 39, 2026 21 - 25 Sep 2026	5 Days	Onsite	€5,700
Dubai	Week 39, 2026 21 - 25 Sep 2026	5 Days	Onsite	€4,500
Kuala Lumpur	Week 41, 2026 05 - 09 Oct 2026	5 Days	Onsite	€5,200
Milan	Week 42, 2026 12 - 16 Oct 2026	5 Days	Onsite	€5,700
Amsterdam	Week 42, 2026 12 - 16 Oct 2026	5 Days	Onsite	€5,700
Cairo	Week 42, 2026 12 - 16 Oct 2026	5 Days	Onsite	€4,100
Rome	Week 43, 2026 19 - 23 Oct 2026	5 Days	Onsite	€5,700
London	Week 43, 2026 19 - 23 Oct 2026	5 Days	Onsite	€5,700
Manama	Week 43, 2026 25 - 29 Oct 2026	5 Days	Onsite	€4,700
Zoom	Week 44, 2026 26 - 30 Oct 2026	5 Days	Online	€1,500
Istanbul	Week 44, 2026 26 - 30 Oct 2026	5 Days	Onsite	€4,500
Athens	Week 44, 2026 01 - 05 Nov 2026	5 Days	Onsite	€6,700
Baku	Week 45, 2026 02 - 06 Nov 2026	5 Days	Onsite	€5,000