FRC 2027 brings together interdisciplinary paper presentation tracks that examine the evolving relationship between artificial intelligence, organizations, governance, markets, education, and society. Through research-led conversations, keynote sessions, and collaborative dialogue, the conference aims to advance scholarship that is future-focused, ethically grounded, and globally relevant.
AI is no longer just transforming systems — it is transforming people. From how individuals make decisions to how organizations distribute responsibility, AI increasingly shapes human behaviour while simultaneously being shaped by human assumptions, biases, and values.
The Centre for Behavioural Insights (CBI) explores these evolving dynamics through a behavioural science lens, shifting the conversation from what AI can do to how humans respond, adapt, trust, resist, and rely on intelligent systems.
CBI invites scholars and practitioners to critically examine the psychological, social, organizational, and ethical implications of human-AI interaction across workplaces, markets, finance, and strategic decision-making.
An exploration of how AI quietly reshapes workplace norms, trust, control, and decision-making long before organizations consciously recognize the shift — helping leaders understand and guide evolving human-AI relationships.
A behavioural examination of how growing dependence on AI influences human judgment, cognitive effort, critical thinking, and safety, while highlighting emerging concerns that demand scholarly attention.
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The Centre for Responsible Management (CRM) explores how organizations can ensure that technological advancement remains deeply committed to human values, social responsibility, and ethical governance.
As humanity reshapes decision-making, work, methods, and institutions, crucial questions surface: Where does humanity stand in an increasingly automated world?
This track invites scholars, practitioners, and policymakers to examine how AI can be aligned with fairness, inclusion, empathy, accountability, and long-term societal well-being.
A critical examination of whether existing governance and ethics frameworks are sufficient for AI-driven businesses, or if we must fundamentally change the meaning of responsible management itself.
An exploration of collaborative, future-shaping research focus areas on consumer safety, pedagogy, public engagement, and transdisciplinary collaboration.
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The rapid integration of AI into corporate and organizational decision-making has created new governance challenges around accountability, transparency, regulatory, and strategic oversight.
The Centre for Innovation, Entrepreneurship & Technology (CIET) explores how organizations, policy makers, and institutions can govern intelligent systems responsibly, while sustaining innovation and competitiveness.
Exploring how organizations can foster innovation while building governance frameworks to evaluate algorithmic deployment.
Examining how higher education institutions must rethink pedagogy, governance, and research infrastructure to prepare for AI-led transformation.
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Led by Dr. Ranjit Kaur, this track explores how marketing can contribute to social progress, sustainability, behavioural change, and public policy impact.
The track encourages interdisciplinary, action-oriented scholarship that addresses complex societal challenges through transformative marketing approaches and systems thinking.
FRC 2027 explores the challenge of governed intelligence through three interconnected dimensions:
FRC 2027 explores the challenge of governed intelligence through three interconnected dimensions:
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Consumer Insights to Systems Change: The Next Frontier of Social Marketing in South AsiaLorem ipsum dolor sit amet
Scaling Behaviour Change in India: Lessons from Two Decades of Research, Practice & Policy Influence