The 2nd International Conference on Artificial Intelligence Security and Governance (ICAISG 2026)

The 2nd International Conference on Artificial Intelligence Security and Governance (ICAISG 2026) explores emerging challenges and solutions in securing artificial intelligence systems, ensuring data integrity, privacy, and ethical governance in AI deployment.

Key Topics

• Privacy-preserving biometric data management
• Digital platforms for civic participation in AI governance
• Security risks in knowledge distillation pipelines
• Generative model attribution
• Detection and mitigation of hallucinations in LLMs
• Quantum computing threats to AI security protocols
• Global educational frameworks for AI security
• Vulnerability assessment of multimodal AI models
• Anti-spoofing techniques for biometric systems
• Authenticity assessment of AI-generated media
• Privacy leakage in federated learning systems
• Bias detection and fairness in algorithmic systems
• AI-powered threat detection and incident response
• Cross-cultural adaptation of explainability tools
• Accountability in AI decision-making processes
• High-stakes applications of transparent AI
• Security challenges of cutting-edge AI technologies
• Impact analysis of adversarial attacks on AI models
• Strategic roadmap for long-term AI security
• Balancing explainability and model efficiency
• AI in offensive and defensive network operations
• AI-augmented biometric authentication
• Standardization of black-box model interpretability
• Inclusive algorithm design for diverse populations
• Secure multi-party computation frameworks
• AI-based attack simulation and penetration testing
• Monitoring malicious adaptation of open-source LLMs
• Real-world adversarial attack scenarios
• Source device attribution of synthetic media
• Legal and compliance frameworks for AI deployment
• Collaborative threat intelligence sharing via AI
• Threat modeling for GAN-enabled AI systems
• Defense mechanisms for AI-enhanced IoT networks
• Automated verification of AI system robustness
• Jailbreaking attacks and prompt injection mitigation
• Ethical implications of synthetic data generation
• Explainable and transparent AI
• Moral responsibility in autonomous decision systems
• Content integrity assurance in multimodal LLMs
• Adversarial attacks and defense strategies for LLMs
• Privacy and integrity of IoT data streams
• AI creative tools
• Media manipulation detection and localization
• Identity provenance in AI-generated content
• Countermeasures against AI-driven data reconstruction
• Generation and detection of adversarial perturbations
• Novel defense paradigms for future AI systems
• Jailbreaking attacks
• Approximate reasoning
• Ethical AI and regulatory compliance
• Quantifying user trust in AI-driven decisions

Who should Attend

• Cybersecurity professionals and analysts
• Government and policy officials focused on AI regulation
• AI researchers and data scientists
• Ethics and compliance officers
• Technology strategists and innovation leads
• Security architects and systems engineers
• Academic scholars in AI and security domains
• Developers of AI-powered platforms
• Legal professionals in tech law and governance
• Digital rights advocates and civic tech organizations