AI governance, ethics, and regulatory compliance

Artificial Intelligence (AI) is rapidly transforming governments, businesses, healthcare, finance, education, critical infrastructure, and digital services. As AI systems become increasingly autonomous and influential in decision-making, ensuring their secure, ethical, transparent, and accountable deployment has become a global priority. While AI offers significant opportunities for innovation and economic growth, it also raises concerns related to privacy, bias, discrimination, misinformation, accountability, cybersecurity, intellectual property, and societal impact. These challenges highlight the need for robust governance frameworks, ethical principles, and regulatory mechanisms that promote responsible AI development while safeguarding individuals, organizations, and society.

The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites original research contributions on AI Governance, Ethics, and Regulatory Compliance. This track aims to bring together researchers, policymakers, legal experts, industry leaders, cybersecurity professionals, and practitioners to discuss emerging challenges and innovative solutions for governing AI systems throughout their lifecycle. The track encourages research on governance models, ethical AI principles, regulatory frameworks, risk management, standards, compliance auditing, and trustworthy AI practices that support the secure and responsible adoption of AI technologies across diverse application domains.

Subtopics

1. AI Governance Frameworks

  • AI Governance Models and Frameworks

  • Responsible AI Governance

  • Enterprise AI Governance

  • AI Lifecycle Governance

  • AI Policy Development

  • AI Governance Maturity Models

  • AI Oversight and Decision-Making Frameworks

2. Ethical AI

  • Ethical AI Principles

  • Fairness, Bias, and Non-Discrimination

  • Explainable and Interpretable AI (XAI)

  • Transparent AI Systems

  • Human-Centered AI

  • Accountable AI

  • Responsible AI Development

  • AI Ethics by Design

3. AI Risk Management

  • AI Risk Assessment

  • AI Threat Modeling

  • AI Impact Assessments

  • AI Safety and Reliability

  • AI Security Risk Management

  • Continuous Risk Monitoring

  • AI Assurance Frameworks

4. Regulatory Compliance

  • AI Regulatory Frameworks

  • Compliance with the EU AI Act

  • General Data Protection Regulation (GDPR) and AI

  • NIST AI Risk Management Framework (AI RMF)

  • ISO/IEC 42001 for AI Management Systems

  • ISO/IEC 23894 for AI Risk Management

  • OECD AI Principles

  • Sector-Specific AI Regulations

5. Privacy and Data Governance

  • Privacy-by-Design

  • Data Governance for AI

  • Privacy-Preserving AI

  • Data Protection and Compliance

  • Data Quality and Integrity

  • Data Provenance and Lineage

  • Cross-Border Data Governance

6. AI Security Governance

  • Secure AI Development Lifecycle (Secure AI SDLC)

  • AI Supply Chain Governance

  • Governance of Large Language Models (LLMs)

  • Governance of Generative AI

  • AI Model Auditing

  • AI Security Policies and Standards

  • AI Incident Response Governance

7. AI Accountability and Auditing

  • AI Accountability Frameworks

  • Algorithm Auditing

  • AI Compliance Auditing

  • AI Certification and Assurance

  • Model Validation and Verification

  • AI Documentation and Reporting

  • Continuous Compliance Monitoring

8. Governance of Emerging AI Technologies

  • Autonomous AI Agents Governance

  • Multi-Agent AI Governance

  • Foundation Model Governance

  • AI Agent Accountability

  • Governance of AI in Edge and Cloud Computing

  • Governance of AI-Enabled Robotics

9. Trustworthy AI

  • Trustworthy AI Frameworks

  • AI Transparency and Explainability

  • Human Oversight in AI Systems

  • AI Reliability and Robustness

  • AI Safety Engineering

  • AI Ethics for Critical Systems

10. Domain-Specific AI Governance

  • AI Governance in Healthcare

  • AI Governance in Finance and FinTech

  • AI Governance for Smart Cities

  • AI Governance in Critical Infrastructure

  • AI Governance in Government Services

  • AI Governance for Cybersecurity Applications

11. Legal and Societal Issues

  • Intellectual Property Rights for AI

  • AI Liability and Legal Responsibility

  • AI and Human Rights

  • AI Misinformation and Deepfake Regulation

  • Digital Identity and AI Trust

  • Consumer Protection in AI Systems

12. Future Directions

  • Global AI Governance Frameworks

  • International AI Standards

  • Sustainable and Green AI Governance

  • Quantum-Era AI Governance

  • Governance for AI-Human Collaboration

  • Ethical Governance of Autonomous Systems

  • AI Governance Benchmarking

  • Policy and Standardization for Next-Generation AI