The 3rd Workshop on Personal Intelligence with Generative AI

Summary

The emergence of large language models (LLMs) has ushered in a new era of generative AI, exhibiting broad human-level capabilities and achieving meaningful progress toward Artificial General Intelligence (AGI). To realize AGI that truly benefits each individual, one next key direction for generative AI is to develop personal intelligence—understanding individuals and enhancing personal thinking, planning, and life experiences through personalization. Although evolving generative AI toward personal intelligence is emerging, it has attracted considerable interest from both research institutions and industry, even becoming a strategic direction for many companies. This workshop aims to provide a platform for discussing innovative ideas that facilitate the transition from generative AI to personal intelligence, (i) envisioning the future of personal intelligence powered by generative AI, (ii) establishing benchmarks for personal intelligence tasks, (iii) advancing user modeling/personalization techniques for generative models/agents, (iv) enhancing real-world applications, and (v) ensuring privacy and trustworthiness. This workshop aims to deepen understanding, accelerate progress, and support the transformative development of the next generation of generative AI: personal intelligence.

Call for Papers

Generative AI, propelled by advancements in large language models, has achieved remarkable milestones. As we look ahead, equipping generative AI with personalization capabilities and progressing toward personal intelligence are essential steps in its evolution toward deeply and meaningfully serving each individual—and ultimately toward AGI. The Generative AI Towards Personal Intelligence workshop aims to bring together researchers, practitioners, and industry experts to explore cutting-edge developments in personal intelligence within generative AI. This workshop will focus on inspiring future perspectives, advancing technological innovations, establishing standards, and enhancing practical applications for generative AI-driven personal intelligence.

Aiming for personal intelligence, this workshop focuses on advancing generative AI to better understand individuals and enhance personal thinking, planning, and life experiences through personalization. Specific topics include:

Visionary Perspectives on the Future of Generative AI for Personal Intelligence: Perspective papers that discuss potential technological pathways and visionary outlooks for realizing personal intelligence with generative AI.
User modeling and personalization techniques for large language/multimodal models and agents: Exploring methods to adapt large models and agents for user-specific preferences and needs, including user understanding, modeling, and preference alignment strategies for generative models.
Generative models in personalized task applications: Application of generative models in personalized systems such as recommendation, search, conversation, personal assistants, and embodied AI assistants.
Core Tasks, Datasets, and Benchmarks for Personal Intelligence: Identifying and developing essential tasks, datasets, and benchmarks critical for advancing research in personal intelligence, including standardization and evaluation frameworks.
Personalized Content Generation: Equipping generative models with personalization capabilities to produce tailored content for users, including text, images, and videos.
User Simulation and Role-Playing: Utilizing generative models for user simulation, including role-playing scenarios to enhance user understanding and personalization outcomes.
Trustworthiness and efficiency: Uncovering and addressing issues of reliability, privacy, and efficiency when evolving generative AI toward personal intelligence, with a focus on establishing user trust and optimizing resource usage.

Submitted papers must be a single PDF file in the template of ACM WWW 2025. Submissions can be of varying length from 4 to 8 pages, plus unlimited pages for references. The authors may decide on the appropriate length of the paper as no distinction is made between long and short papers. All submitted papers will follow the "double-blind" review policy and undergo the same review process and duration. Expert peer reviewers in the field will assess all papers based on their relevance to the workshop, scientific novelty, and technical quality.

Submission site: https://easychair.org/my/conference?conf=personalintelligence0 (track of "The 3rd Workshop on Personal Intelligence with Generative AI"). Accepted papers have the option to be included in the WWW Companions proceedings. And there will be best paper award for this workshop!

Fast Track Submission

We are pleased to announce a fast-track submission process in conjunction with the main conference. See below the submission guidelines:

Authors must add an Appendix to their submissions, including:
- Cut and paste reviews from the main review process.
- A section called “Improvements” describing any light revisions made based on the reviews.
Only light revisions are expected; heavy changes are not allowed.