8th Global Forum on AI-Driven Education and Social Symbiosis AI-ESS-08 | April 12–16, 2027 | London, United Kingdom
April 12–16, 2027 | London, United Kingdom
We warmly welcome scholars, researchers, and professionals worldwide to join the 8th Global Forum on AI-Driven Education and Social Symbiosis (AI-ESS-08), held from April 12 to 16, 2027, in the historic yet cutting-edge global capital of London. This global academic event gathers thought leaders and interdisciplinary researchers to exchange knowledge, explore the rapid evolution of Artificial Intelligence, and tackle the complex challenges it presents across education and social structures.
AI-ESS-08 serves as a premier platform for scholars and experts to engage in meaningful dialogue, fostering interdisciplinary collaboration between AI technology and human-centric social research. We encourage participants to actively engage in discussions, providing insights that will enhance collective understanding of how AI is reshaping the future of our society and education systems.
To be announced soon.
Your participation is vital for promoting interdisciplinary innovation and collaboration, which are key to solving global challenges. Join us in London, where new ideas will be explored and effective solutions developed to advance education and social sciences in the AI era. Together, we can make a lasting impact in these fields and contribute to their evolution on a global scale.
AASE is committed to maximizing the reach and visibility of scholarly work submitted through our conference. Accepted papers undergo rigorous peer review and are published through a network of internationally recognized indexing platforms and partner journals.
Strategic Publication & Indexing Pathways:
Global Database Indexing: All conference proceedings are indexed in CiteSeerX, Google Scholar, Thomson Reuters, Scopus, EI Compendex (Elsevier Engineering Village), SSRN, and ResearchGate, ensuring broad discoverability across academic and professional communities worldwide.
Fast-Track Journal Publication: Outstanding papers are invited for fast-track publication in our prestigious partner journals, providing a streamlined path to high-impact recognition:
Business Systems Research (BSR)
International Journal for Quality Research (IJQR)
Proceedings on Engineering Sciences (PES)
Journal of Management and Business Education (JMBE)
Select titles from Emerald Publishing — a leading global academic publisher recognized for excellence in management, business, and social sciences research.
Open Access (DOAJ Verified): AASE strongly supports the open science movement. Published works are made freely available to readers worldwide in accordance with open access principles. Our partner journals are listed in the Directory of Open Access Journals (DOAJ), affirming our commitment to transparency and broad knowledge dissemination.

To maintain the highest academic standards while ensuring an efficient review cycle, AI-ESS-08 employs a state-of-the-art AI-Enhanced Peer Review System:
AI-Driven Quality Screening: Automated screening for technical consistency, formatting verification, and sophisticated plagiarism detection to ensure 100% original content.
Intelligent Reviewer Matching: AI-optimized matching of manuscripts with the most qualified international experts based on research synergy, ensuring a fair and unbiased Double-Blind Peer Review.
Accelerated Feedback Loop: Optimized editorial workflows to provide authors with constructive, high-quality feedback within an optimized timeframe, supporting the rapid dissemination of insights.

AI-ESS-08 welcomes submissions across all subfields of AI-enhanced education and social symbiosis, including but not limited to:
AI in Education and Learning Technologies
Digital Transformation in Business & Economics
Management, Finance, and AI Governance
Literature, Communication & Social Media Studies
Educational Policy and Social Ethics
Natural Sciences and AI-Driven Applications
Multidisciplinary Research in Social Symbiosis
Individuals attending as listeners are exempt from the submission and review process. Delegates may proceed directly to the registration portal for immediate enrollment and secure payment processing. No abstract or manuscript submission is required for this category.
Authors seeking to present their research must first undergo a rigorous editorial evaluation. Prospective presenters are required to submit one of the following for peer review:
Abstract (for preliminary review)
Full Research Paper (for proceedings publication)
Academic Poster (for interactive sessions)
Upon official notification of acceptance following the review process, authors will be provided with comprehensive instructions to finalize their registration and fee settlement.
Submission Format Guidelines: https://www.aaseconference.org/submission-format
Oral Presentations: Authors will be allocated 15 minutes, including 5 minutes for Q&A. Presentations will be grouped by related topics into thematic sessions.
Poster Presentations: Authors may present interactive posters in a designated session. Handouts may be provided for interested attendees.
The Organizing Committee is dedicated to curating a rigorous, inclusive, and impactful experience for all delegates. AASE is honored to present the preliminary framework of the five-day conference program. Please note that session allocations and timings remain subject to refinement as the keynote lineup and session speakers are finalized. The program will be continuously updated to reflect the latest scholarly confirmations.
Download Tentative Schedule.pdf
Early Bird Registration Deadline: January 30, 2027
Abstract / Full Paper Submission Deadline: February 25, 2027
Notification of Abstract Review: Within one week of submission
Registration Deadline: March 20, 2027
Conference Dates: April 12–16, 2027
The conference registration fee includes:
Full access to all conference sessions
A conference bag and printed participation certificate
Access to the conference proceedings
Complimentary coffee breaks and lunch on the presentation day
Free membership with AASE
Online publication of accepted papers in international journals post-conference.
Address: 222 Marylebone Rd, Marylebone, London NW1 6JQ, United Kingdom
Phone: +44 20 7631 8000
Website: https://www.landmarklondon.co.uk/

As the historic birthplace of modern computing and a premier global hub for AI research—home to institutions like the Alan Turing Institute and Google DeepMind—London provides an unparalleled setting for academic inquiry. Participants can witness the seamless integration of Victorian architectural grandeur and the cutting-edge tech ecosystem of the "Knowledge Quarter." The Landmark London, an iconic oasis of luxury in the heart of the city, offers a sophisticated and prestigious environment for high-level intellectual exchange.
London serves as a "living laboratory" where scholars can observe the real-world impact of AI on global finance, diverse urban education, and sophisticated social policy. Moreover, London’s leading role in the ethical governance of AI serves as a model for how technology can be integrated into social symbiosis while upholding democratic values. This makes the city more than just a venue; it is a tangible benchmark for the very "Social Symbiosis" that AI-ESS-08 aims to explore and define for the global academic community.
Take advantage of this unique opportunity to engage with top experts. Collaborate with global scholars, present your work, and contribute to shaping the future of these critical disciplines.
