We invite AI researchers and practitioners across different disciplines and knowledge backgrounds to submit contributions dealing with the following (or related) topics:

• Adverse Applications of Generative AI and Machine Learning (ML):

  • • AI-driven online deception, misinformation/disinformation, and social manipulation

    • Jailbreaks, prompt/data injection, and scalable content automation using LLMs

    • Fraud, impersonation, and social engineering attacks powered by generative models 

• Mitigation Strategies and Safety Mechanisms for AI/ML:

  • • Threat modeling, risk assessment, and adversarial testing of ML systems

    • Explainable AI (XAI), human-in-the-loop systems, and oversight frameworks

    • Safety guardrails for LLMs and multimodal AI systems

    • Retrieval-Augmented Generation (RAG) reliability and hallucination mitigation

    • Behavioral modeling and intrusion detection

    • Privileged Access Management (PAM) and privilege creep detection 

• Evaluation and Oversight of Generative and Agentic AI Systems:

  • • Containment, alignment, and interpretability of generative models

    • Benchmarking, scenario libraries, and simulation testbeds

    • Post-deployment monitoring, incident reporting, and documentation

    • Secure agent architectures and compliance in high-risk AI domains 

• Human-Centered Modeling, Personalization, and Trust in Adaptive AI Systems:

  • • User modelling and personalisation in adaptive systems

    • Explainable and trustworthy AI for user-centric applications

    • Incentive mechanisms and persuasive technologies 

    • Trust and reputation systems in multi-agent and peer-to-peer networks

• Technical and Societal Impacts of AI and ML Systems: 

  • • Privacy breaches, data leakage, and model inversion attacks

    • Bias, discrimination, and representational harms in ML

    • Psychological and societal effects of Human-AI interaction

    • Trust erosion and polarization in digital ecosystems

• Legal, Ethical, and Governance Considerations in AI:

  • •  Intellectual property and content ownership

    • Regulatory compliance for AI systems (e.g., GDPR, AI Act)

    • AI in surveillance and law enforcement

    • Responsible AI, transparency, and auditing mechanisms 

Special topics of interest:

1. Misuse & Societal Harms of Generative AI: Deepfakes and synthetic voice; Misinformation/disinformation; Scam automation and social engineering; Privacy leakage; Bias and representational harms; Accessibility and language equity; Harms in high-risk domains 

2. Safety, Evaluation & Governance of Generative Systems: Jailbreaks, prompt/data injection, containment; hallucination mitigation; RAG reliability; post-deployment monitoring; incident reporting; human oversight; alignment; interpretability; safety cases; auditing; compliance processes for high-risk GenAI. 

We welcome submissions spanning the full range of theoretical and applied work, including user research, methods, datasets, tools, simulations, demos, and practical evaluations. 

Submission Details