This paper helps policymakers, legislators, and higher education administrators close the structural AI capability gap in higher education across Asia and Europe by redirecting their attention toward equal and inclusive institutional cooperation.

Authors: Prof SHEN Yi (Co-Lead), Mr ZHANG Shuyan (Co-Lead), Prof Robert Kerwin BILLONES, Prof Dr Lafifa JAMAL, Dr Rachel TAN, Mrs Ramneek ATHWAL, Miss YANG Xiuzhen

This white paper helps university leaders, research funders and research office personnel ensure that the AI research and development in their institutions co-create “good” with underserved communities by embedding meaningful community engagement across the research pipelines.

Authors: Dr Yang BONG (Co-Lead), Dr Neelima SAILAJA (Co-Lead), Dr Minjia CHEN (Co-Lead), Dr Devisakti ANNAMALI, Mr Jin TADA, Ms Leïla CELLÉRIER, Dr Muhammad Zahid IQBAL, Dr Vicente PITOGO

This white paper considers whether GenAI serves higher education and the common good through equitable access to quality education, enhanced human capacity, reliable knowledge, participation, and socially responsible innovations, though the competence development based on a contextualised framework implemented by target groups.

Authors: Prof Daniel BURGOS (Lead), Dr Radwan ESKHITA, Ms Favour BOROKINI, Mr Xaysavath SOUKCHALEUN, Dr Fernaz NARIN NUR, Dr Rafis ABAZOV

The paper is intended for national and regional policymakers, university leaders, governing bodies, quality assurance agencies, international organisations, higher education networks, and social partners across Asia and Europe. Its scope extends beyond the use of AI in individual courses to consider institutional missions, funding and initiatives, staff capacity, data governance, and universities’ contribution to lifelong learning, workforce development, and the public good.

Authors: Prof Lampros STERGIOULAS (Lead), Dr Cinta GALLENT-TORRES, Dr Munir Moosa SEWANI, Mr Anshumaan GOEL, Dr Katerina MAKRI

This paper helps policymakers, higher education regulators, quality assurance agencies, and institutional leaders across Asia and Europe keep higher education qualifications meaningful as AI reshapes learning. It sets out the policy conditions for universities to redesign pedagogy and assessment so that AI strengthens, rather than replaces, what learners can do themselves.

Authors: Prof Mira KARTIWI (Co-Lead), Prof Andri IOANNOU, Prof Zainal SANUSI (Co-Lead), Dr Aneela YASMIN, Dr Joey AVILES, Ms Bogna LIZINIEWICZ, Prof Vanessa CAMILLERI

This paper helps university stakeholders to build a coherent institutional-wide GenAI governance system by diagnosing gaps in both policy coverage and coordination and mapping a staged pathway for improvements.

Authors: Dr Shalinka JAYATILLEKE (Lead), Dr Akhtar JALBANI, Mrs Rashikala WEERAWARNA, Dr Sunyub KIM, Ms Julija MIRONOVA, Prof Andrea MASCOLO

This paper empowers universities to sustain and scale  trusted and inclusive knowledge in the age of AI by strengthening open education ensuring that no one  is left behind.

Authors: Dr João PITA COSTA (Co-Lead), Dr Anja POLAJNAR (Co-Lead), Mr Davor ORLIČ (Co-Lead), Prof Ebba OSSIANNILSSON, Ir Joost GROOT KORMELINK, Dr Ajita DESHMUKH, Dr Chetanpal SINGH, Dr Weiyao MENG

This paper helps university leaders and public agencies decide which university strengths to draw on for an SDG challenge, which implementation functions need strengthening, and how to connect the work to public use.

Authors: Dr Sharina YUNUS (Lead), Mr Francesco AMIGHETTI, Dr Emese BELENYESI, Ms Nimisha PARASHAR, Mr Muhammad SOHAIL, Dr Nur Lisa ZAHARIN

This paper is aimed at senior leaders of leading universities and key AI policymakers or influencers considering how universities can contribute strategically to the responsible adoption and governance of AI by external stakeholders.

Authors: Prof Spriha BHANDARI (Co-Lead), Prof Tejpavan GANDHOK (Co-Lead), Ms Zeynep YARADANAKUL, Dr Marion Lux CASTRO, Mr Pavlos PANAGIOTIDIS, Mr Antonio PELEGRINA JIMENEZ, Mr Rustam SHARIQ MUJTABA