Human-Centred AI and Cognitive Readiness: Preparing Learners and Entrepreneurs for the Next Digital Economy
Dr Victor (Vik) Perez, Xi'an Jiaotong-Liverpool University (XJTLU)
Session 151
Strengthening Human Capacity Through Cognitive Conditions
Led by Dr Victor (Vik) Perez (Xi'an Jiaotong-Liverpool University, China), the session explores how human-centred AI requires greater attention to the cognitive conditions that enable learners and entrepreneurs to think, learn and make effective decisions in increasingly AI-mediated environments.
As artificial intelligence becomes embedded across education, entrepreneurship and the digital economy, global discussions have largely focused on technological capabilities. The session presents an emerging conceptual perspective that argues successful human-centred AI depends not only on technological capabilities, but also on the cognitive conditions that enable people to think, learn, decide and act effectively in AI-rich environments. It proposes that the cognitive conditions created by AI systems will increasingly shape how effectively individuals, organisations and societies benefit from digital transformation. Cognitive readiness is presented as a key operational dimension of this broader framework.
At the core of the programme is the presentation, Human-Centred AI and Cognitive Readiness: Preparing Learners and Entrepreneurs for the Next Digital Economy, which introduces an emerging conceptual framework connecting AI, human cognition and digital capacity building. The framework is illustrated through applied initiatives demonstrating how cognitive conditions can be intentionally designed to strengthen human agency in AI-rich environments. The discussion concludes by examining implications for education, entrepreneurship and public policy, encouraging dialogue on how future AI strategies can strengthen human capabilities alongside technological innovation.
Aligned with the WSIS vision of fostering people-centred, inclusive and development-oriented information societies, the session encourages collaboration among educators, policymakers, researchers and industry to advance more resilient, human-centred digital futures.
Continuing the Dialogue
Building on the discussions initiated during the WSIS Forum, the dialogue is being extended through a set of complementary international initiatives designed to advance discussion on Cognitive Conditions and Human-Centred AI.
An invited collection of International Perspectives on Cognitive Conditions brings together reflections from leading voices across different fields and institutional contexts. The perspectives explore, through different disciplinary lenses, the human capacities and conditions that may require greater attention as AI and other intelligent technologies become increasingly embedded in learning, work and society.
Taken together, the perspectives highlight distinct but interconnected dimensions of this emerging conversation: motivation and academic self-efficacy; problem formulation; human capability and technological coexistence; imagination, creativity and integrative ability; neural self-regulation and autonomous thinking; and metacognition, cognitive flexibility, attention and critical thinking.
Emerging from different disciplinary and professional perspectives, these contributions raise a broader question for human-centred AI: as technological capabilities advance, what cognitive conditions will enable people to continue developing and exercising the human capacities upon which learning, judgement, agency and meaningful participation depend?
International Perspectives on Cognitive Conditions
International Perspectives on Cognitive Conditions
Learning, Motivation & Self-Efficacy
Professor Robert M. Klassen
Department of Education, University of Oxford
“Achievement motivation is a key driver of learning in education settings. I observe with interest how the increasing reliance on AI influences students' motivation in the classroom. From a social cognitive perspective, academic self-efficacy is affected when students experience fewer opportunities for mastery experiences; that is, when they do not have to wrestle with difficult tasks and experience success (or failure). Further exploration of the relationship between AI use and academic self-efficacy and other forms of motivation is urgently needed.”
Problem Formulation & AI
Alexandra Dragomirescu
OECD Education 2040, FG2A Co-Chair
“One emerging cognitive condition deserves closer international attention: the weakening of problem formulation—the capacity to identify a real problem and state it precisely in writing. As AI turns vague, poorly written prompts into polished, coherent answers, people lose practice in both. The loss is structural, not merely grammatical: writing makes intentions and requirements explicit, and no ‘mind-reading’ AI assists us when we negotiate or ask for help. International frameworks fold this into critical thinking, which measures the evaluation of answers, not the construction of questions. Problem formulation should be treated as a distinct competence—taught, practised, assessed, and compared across systems.”
Human Capability & Human–Robot Coexistence
Professor Hiroshi Ishiguro
Department of Systems Innovation, Osaka University
“Humans have long expanded the capabilities through technology; indeed, this is one of the most defining characteristics of humanity. In the short term, the key lies in how we use AI and robots to enhance our abilities. In the long term, the priority shifts to designing a society where humans coexist with AI and robots.”
Future Education, Human Wisdom & Digital Intelligence
Professor Youmin Xi
Executive President, Xi’an Jiaotong-Liverpool University
Pro-Vice-Chancellor, University of Liverpool
"Facing digital-intelligence era challenges, university education demands three urgent shifts: first, transitioning from knowledge transmission to competency-oriented education; second, fostering global perspective, imagination, creativity and integrative ability; third, reorienting from ignorance prevention to equipping learners to navigate uncertain, complex and volatile worlds. In response, we leverage our Syntegrative Education and AI‑enabled cross‑boundary industry‑university‑research‑government‑society ecosystem to forge a globally impactful XJTLU Approach to the development of education worldwide".
Self-Regulation & Autonomous Thinking
Thomas Feiner
Director, Institute for EEG-Neurofeedback (IFEN)
“In an age in which technology increasingly knows how humans think, how do we ensure that humans themselves still learn how to think? In my view, cognitive readiness begins with the brain’s capacity for self-regulation: to direct attention, shift perspectives, recognize biases, tolerate ambiguity, contradiction and cognitive dissonance, and critically question information rather than retreating into expert, ideological or algorithmically reinforced bubbles.”
Metacognition, Cognitive Flexibility, Attention & Critical Thinking
Barak Cerff
Vice-Chair, QS Reimagine Education Awards
“Across educational innovation globally, we are seeing increasing attention given to metacognition, cognitive flexibility, attention, and critical thinking. These capacities will remain essential as technology becomes more embedded in learning, particularly the ability to question information, make connections and apply knowledge in unfamiliar contexts. The challenge is to ensure that technology continues to strengthen these human capabilities rather than diminishing the need to exercise them.”
Global Questions for the Future of Human-Centred AI
Global Questions for the Future of Human-Centred AI will progressively bring together forward-looking questions proposed by international contributors, identifying areas requiring further research, policy attention and interdisciplinary dialogue around human cognition, capability and agency amid technological change.
The dialogue continues through the Human Cognition Observatory, which provides a continuing platform for international perspectives, emerging cognitive signals and interdisciplinary synthesis on Cognitive Conditions, human capability and technological change.
The initiative welcomes ongoing contributions from researchers, educators, policymakers and industry leaders interested in advancing Human-Centred AI and Cognitive Conditions.
Associate Professor of Practice, Xi'an Jiaotong-Liverpool University (China)
Honorary Associate, University of Liverpool (UK)
Dr Victor (Vik) Perez works at the intersection of artificial intelligence, human cognition, education and entrepreneurship. He is advancing the Cognitive Conditions perspective, which examines how the environments and interactions surrounding people shape their capacity to think, learn, decide and exercise agency in increasingly AI-rich contexts.
His work positions Cognitive Conditions as a lens for human-centred AI, with cognitive readiness as a key operational dimension. This perspective moves beyond viewing AI solely as a technological system, considering it as part of an environment that increasingly shapes the conditions under which human cognition and capability are exercised.
Dr Perez contributes to international policy and academic dialogue on the future of education, human capability and agency, including through OECD Education 2040, connecting perspectives from education, entrepreneurship and cognitive science to emerging questions of human capacity-building in the AI era.
At the WSIS Forum 2026, he led the session Human-Centred AI and Cognitive Readiness: Preparing Learners and Entrepreneurs for the Next Digital Economy, extending this agenda into international dialogue on how technological advancement can be accompanied by the strengthening of human capabilities.
Contact & Further Work
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C3. Access to information and knowledge
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C4. Capacity building
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C7. ICT applications: benefits in all aspects of life — E-learning
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C11. International and regional cooperation
This conceptual framework contributes primarily to WSIS Action Line C4 (Capacity Building) by examining the cognitive conditions required for effective participation in AI-rich environments. It also supports C7 (E-learning) by exploring how human-centred AI can strengthen learning and entrepreneurial capacity, and C10 (Ethical Dimensions of the Information Society) by highlighting the importance of preserving human agency, cognitive readiness and responsible AI adoption in the digital economy.
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Goal 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
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Goal 8: Promote inclusive and sustainable economic growth, employment and decent work for all
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Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
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Goal 17: Revitalize the global partnership for sustainable development
This proposed framework advances the Sustainable Development Agenda by advancing a human-centred approach to AI that strengthens the cognitive conditions required for learning, entrepreneurship and digital participation. It supports SDG 4 (Quality Education) by promoting cognitive readiness for lifelong learning, SDG 8 (Decent Work and Economic Growth) by preparing learners and entrepreneurs for the AI-driven economy, and SDG 9 (Industry, Innovation and Infrastructure) through responsible human-centred innovation. More broadly, the session encourages international collaboration to ensure that digital transformation strengthens human capabilities alongside technological progress.
- Objective 1: Close all digital divides and accelerate progress across the Sustainable Development Goals
- Objective 2: Expand inclusion in and benefits from the digital economy for all
Institutional & Academic Identity
Xi'an Jiaotong-Liverpool University Faculty Profile
Beyond Human Cognition — Substack
Beyond Human Cognition — WeChat Channel (Chinese)
Ideas, Research and Intellectual Platforms
Human Cognition Observatory – Cognitive Conditions & Human Capability in the AI Era
Human Cognition Observatory — Observation #1: What Is Changing?
Human Cognition Observatory — Observation #2: What Human Capabilities May Matter Next?
Cognitive Conditions — Human Capability in Complex & AI-Rich Environments
WNYLE Method™ – Brain-Driven Entrepreneurship & Learning Framework
Cognitive Performance Music (CPM) – Applied Cognitive Readiness Initiative
BRANET – Global Brain-Driven Entrepreneurship Network
Engagement & Emerging Communities
The Autonomous Future Circle (AI and cognition dialogue community)
Cognitive Performance Music (CPM) Community – Applied Engagement Network
International Policy and Global Engagement
WSIS Forum 2026 — Human-Centred AI & Cognitive Readiness
OECD Education 2040 – Human Agency & Future Learning Contribution
Applied Learning & Innovation Platforms
Global Entrepreneurial Clash – Cross-Cultural Entrepreneurial Learning Initiative
Contact:
Dr Victor (Vik) Perez
Associate Professor
Xi'an Jiaotong-Liverpool University (XJTLU)
victor.perez@xjtlu.edu.cn
vik@vikperez.com