SCOPE

Agentic and Generative AI are emerging technologies that will transform human activities everywhere. These technologies combine new AI models, such as LLMs, and semi-autonomous rational AI agents that can analyze big data, define goals, and take actions with low human supervision. Agentic AI aims to automate collaborative activities and business processes and continuously improve them in a flexible, scalable way that is not easily addressed by deterministic systems. This conference is interested in addressing all these technical issues as well as the risks and ethical concerns arising from these technologies. It intends to be a central forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of agentic and generative computing systems, both theoretically and in a broad range of application fields.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. MODELS
2. APPLICATIONS
3. RISKS AND ETHICAL CONCERNS

AREA 1: MODELS

Large Language Models (LLM)
Adaptive Learning Models
Evaluation Metrics
Generative Adversarial Networks (GAN)
Transformer-Based Models
Diffusion Models
Hybrid Models
Continual Learning Models

AREA 2: APPLICATIONS

Contextual Decision-Making
Medical Applications
Social Media
Art and Creativity
Image and Video Generation
Speech and Music Generation
Text Generation
Code Generation
Education and Training
Assessment Tools
Business Process Management
Decision Analytics and Data Science

AREA 3: RISKS AND ETHICAL CONCERNS

Applicative Risks’ identification
Risks evaluation metrics
Ethical and Legal Concern
Risks and impacts on Intellectual and Educational aspects