Advanced AI Governance, Ethics & Child-Centric Digital Wellbeing Regulation Istanbul 26.Oct.2026 (103600512_71884)

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.