Keith Lee is Professor of AI and Finance at the Gordon School of Business, Swiss Institute of Artificial Intelligence (SIAI). His primary research lies in financial mathematics and AI-driven computational science, with a focus on quantitative modeling of complex economic and financial systems. His work integrates machine learning, stochastic modeling, and data-centric methods to study structural transformations in markets and institutions.
His recent work examines the broader socioeconomic consequences of artificial intelligence, including labor markets, public finance, demographic change, institutional adaptation, and the distributional effects of technological progress.
He holds a PhD in Mathematical Finance from Boston University, and previously earned an MSc in Finance and Economics from the London School of Economics. He completed his undergraduate studies in Economics at Seoul National University under the Korea Foundation for Advanced Studies scholarship program.
Europe’s defence surge meets tightening debt
Fund smart: credible paths, joint buys, skills
Avoid “Greece 2010”: improve balances, manage rollover risk
Here's the thing: back in December 2025, over two-thirds of Europeans didn
AI companion mental health is a public-health risk
Hallucinations + synthetic intimacy create tail-risk
Act now: limits, crisis routing, independent audits
Two numbers should change how we govern AI companions.
Xiangshan Forum is China’s planning room for global governance
Beijing fuses hard power and finance to shape rules
Education must teach Xiangshan-era governance, standards, and AI/security
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Treat blind hiring policy as a targeted tool, not a cure-all
Recent pilots show anonymity widens access while quality holds steady
Use a tiered process—Stage-1 blind scoring, controlled unblinding, and outcome audits—to balance equity and excellence
Remote work and development drives growth
Automation narrows factory-led paths
Teach English, wire broadband, fix payments
One key number should change how ministries of education, finance, and trade pl
AI political persuasion shifts views by flooding claims; accuracy falls
Education should require evidence budgets and claim-source ledgers
Policy must enforce accuracy floors, provenance by default, and risk labels
Support is broad, underestimated
Local clean jobs drive votes
Show local data; build pipelines
The most crucial fact in climate politics today is not about a molecule or a megawatt.
Aging erodes productivity and growth
Migration buys time, not productivity—see Singapore
Youthful regions gain only if they scale learning, health, and adoption
In the economies from the Baltics to the Balkans, the
Biotech knowledge spillovers cut global wait times for lifesaving therapies
Rich countries gain when diffusion is designed, priced, and measured—not blocked
Universities and funders should hard-wire reciprocity, open methods, and cross-border teams
Central banks leaned on single models and badly misread the inflation surge
Ensemble monetary policy blends many models to create safer, more robust rate rules
Teaching and adopting ensemble monetary policy can rebuild trust through cautious, transparent decisions
AI is accelerating bank-run risk into “AI bank runs”
Supervisors lag far behind banks in AI tools and skills
We need real-time oversight, automated crisis tools, and targeted training now
In M
AI resume verification is now essential for hiring
Verified records make algorithmic screening fair and transparent
Without them, AI quietly decides who gets work
Recent surveys show that about two-thirds of U.S.
AI risk lists miss real hiring patterns
Job data shows specific roles shrinking and new AI roles growing
Education and policy must follow real vacancy data, not myths
Every week, new headlines warn that artificial int
Russia–North Korea ties and Arctic shipping are reshaping the US–South Korea alliance
The Northern Sea Route turns the Arctic into a new strategic front
Education and policy must integrate Arctic routes into Korean security planning
AI data colonialism exploits hidden Global South data workers
Education can resist by demanding fair, learning-centered AI work
Institutions must expose this labor and push for just AI
Currently
US tariffs pushed Chinese exports through Southeast Asia instead of stopping them
Factories and supply chains there still rely heavily on China
Trade policy must target real value chains, not just flags on shipping labels
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Military spending is surging, and the Russia–China axis tightens
A Germany–Japan security alliance is lawful, networked, and unlike the 1930s
Link logistics, energy, and industry to turn budgets into credible deterrence
Digital mercantilism drives the U.S.–Korea platform fight in schools
Make access reciprocal, data portable, and impact proven
Treat ed-tech buying as trade policy to protect learning and competition
Social network bridging beats raw reach for lasting influence in education
Bridges and weak ties move jobs, ideas, and credible signals across clusters faster than hubs
Name brokers, track cross-cluster reach, and build routines that link communities
China’s global economic influence creates shared dependence
It reshapes rich-country industry and developing-country debt
Open-source AI deepens this reliance, making resilience vital
In 2023,