Neuroethical Implications in the AI Era
Colegio Colombiano de Neurociencias (COLNE) Pontificia Universidad Javeriana
2026-01-01
Colombian Achievements: World-class contributions and current capacity
Structural Gaps: Funding, training, and infrastructure deficits
Clinical Consequences: Health inequalities and diagnostic gaps
AI Amplification: How technology magnifies existing inequities
Neuroethical Analysis: Justice and epistemic violations
Path Forward: Evidence-based recommendations
Important
Core argument: AI amplifies pre-existing structural gaps
The Numbers (Scopus 1996-2026)
Citation Impact
Collaboration Patterns (2020-2024)
Research Focus (Global Share)
Warning
High international collaboration but minimal corporate partnerships (OECD: 15-25%)
PSEN1 Alzheimer’s Cohort
Largest in the world
Neuroscience Group of Antioquia (GNA)
Global Impact:
Quiroz et al., 2020
LAC-CD Consortium
Regional leadership
Colombian co-leadership
Innovations:
IF: 11.1 (Q1)
Parra et al., Alz & Dementia
These achievements demonstrate Colombian capacity for world-leading science
Brain Banking Initiative
Hispano-American Brain Bank
Colombian participation in regional network
IF: 6.2 (Q1) Brain Pathology
Building post-mortem research capacity
Diverse Populations
Cali Dementia Study
Key finding: >70% FTD misdiagnosed
Zapata-Restrepo et al., 2023
IF: 11.1 (Q1)
Tropical Neuroinfections
NEAS Dengue Study
Documented ICU-level severity
Unique regional contribution
Neurology, 2020
Epidemiological Studies
ALS Population Study
First incidence data
Socioeconomic determinants
IF: 2.8 (Q2)
Important
The Challenge: Scale these successes & build infrastructure to sustain leadership
Social Determinants Focus
N=23,694 aging study (SABE Colombia)
Published in leading journals
Migration & Brain Health
Pioneering research on displaced populations
Neuroscience special issue 2025
Resilience in Adversity
Research in extreme contexts:
Unique expertise in brain health under adversity
Community-Centered Science
Colombian neuroscience excels at understanding how social context shapes brain health
Publication Growth (Scopus)
Citation Performance
The Collaboration Paradox
Dependencies
High dependency on foreign partners
Limited private sector engagement
Lack of translational capacity
Junior authorship positions (73%)
Quality present, but scale and independence lacking
Extreme Centralization
International Collaborations
Neuroscience Deserts
80% of Colombian territory has minimal to no neuroscience research capacity
Departments like:
Virtually ZERO research presence
Quality vs. Scale
Colombia’s Position in OECD Rankings
| Country | R&D % GDP | Researchers/Million |
|---|---|---|
| Colombia | 0.29 | 256 |
| Chile | 0.52 | 896 |
| Brazil | 1.16 | 1,023 |
| Argentina | 0.49 | 1,245 |
| OECD average | 2.71 | 4,521 |
Important
Colombia has 17.6x fewer researchers per capita than OECD average
Typical Colombian Grants
Regional Comparison
The Problem
Basic neuroscience research needs 4-7 years
Current funding cycles are too short and too small for fundamental research
Current Capacity
Only 4 PhD programs:
Capacity: 40-50/year
Need: 150+/year
OECD Context
Colombia: 3%
OECD: 16%
5.3x below average
Warning
Students Learn Theory BUT Cannot Practice:
Theory: ✓ | Practice: ✗
“Theoretically trained but practically inexperienced”
Forced Migration
OECD Data
Areas of Greatest Loss
Warning
Precisely the areas where Colombia has greatest deficits
| Indicator | Colombia | Chile | Argentina | Brazil | OECD |
|---|---|---|---|---|---|
| MRI/million | 6.2 | 15.3 | 12.8 | 9.4 | 51.7 |
| R&D (% GDP) | 0.29 | 0.52 | 0.49 | 1.16 | 2.71 |
| Researchers/M | 256 | 896 | 1,245 | 1,023 | 4,521 |
Research Neuroimaging (Entire Country)
Warning
Colombia in bottom 25% for: GERD, HERD, GBARD as % GDP
Confocal Microscopy
Advanced Microscopy
ZERO Two-photon systems
ZERO Super-resolution (STED, STORM, PALM)
ZERO Modern electron microscopy
ZERO Light-sheet microscopy
The Fundamental Problem
Colombian neuroscientists cannot see what they study at required resolution
Cannot:
Result:
Descriptive phenomenology
vs.
Mechanistic investigation
Can ask what
Cannot ask how/why
Patch-Clamp
Cannot Study:
In Vivo Recording
Absent:
Major US/EU Department: 6-10 patch-clamp rigs, 4-8 in vivo setups
ZERO
Brain organoid programs in Colombia
Why This Matters:
Warning
Colombian researchers can read about international findings but cannot contribute discoveries
ZERO
Established optogenetics programs
(1-2 groups attempting to establish capability)
What Colombia Misses:
Warning
Cannot test hypotheses, validate findings, or contribute discoveries in modern systems neuroscience
| Element | Major US/EU Dept | Colombia (All) |
|---|---|---|
| Confocal microscopes | 4-6 | 12-15 |
| Two-photon microscopes | 2-3 | 0 |
| Patch-clamp rigs | 6-10 | 5-6 |
| Optogenetics programs | 8-15 | 0-1 |
| Organoid programs | 3-8 | 0 |
| Transgenic mouse lines | 100-300+ | 5-10 |
| Computing (petaflops) | 1,000s | 0.1-0.2 |
OECD Context:
Important
This is not a gap—it is a CHASM
How do these infrastructure gaps translate into human consequences?
Infrastructure Deficits
Clinical Consequences
Result: Geographic lottery determines health outcomes
Bogotá
Rural Chocó/Amazonas
Same disease, opposite outcomes
OECD Context:
Systematic Review: 142 AI studies in neuroimaging (2018-2023)
Genomic Database Underrepresentation
Current State
Barely dementia AI algorithms trained on Colombian data
Barely stroke detection AI validated for Colombian populations
Barely epilepsy prediction AI using Colombian data
Biological Factors
Technical Factors
Risk
AI may misclassify normal as pathological | Different sensitivity/specificity
Paradox: LAC-CD, ReDLat collecting data but barely in AI training
Survey of 23 AI tools in Colombian institutions
2 tools (8.7%)
Validated with Colombian data
15 tools (65%)
Implemented without validation
6 tools (26%)
Limited monitoring
Critical Findings
ZERO tools had systematic bias auditing
Concrete Risks:
The Danger
AI systems presented as:
But without proper validation:
1. Where are Colombian brain data stored?
When MRI analyzed by foreign AI → Foreign servers
2. Who benefits?
Patients contribute data (often without AI consent)
Benefits flow to: Foreign corporations & institutions
3. Endogenous development capacity?
Colombia lacks capacity to develop proprietary AI
2.8% academic-corporate collaboration (vs 15-25% OECD)
National AI Policy (2025-2031): Adoption, not development
Result: Long-term dependence
Scientific Strengths
11.8% publications in top 10% most cited
World-leading cohorts: - PSEN1 (largest globally) - LAC-CD co-leadership - ReDLat founding partner
Innovation in adversity: - Affordable biomarkers (EEG, speech) - Social determinants expertise - Resilience research
Human Capital
Diaspora advantage: - 30-35% abroad (reversible) - International networks - Dual perspectives - Return incentives working
Strategic Position
Regional hub potential: - Geographic center of LAC - Spanish + English fluency - Biodiversity contexts - Population diversity
Global relevance: - Migration expertise - Conflict/trauma models - Health equity research - Community-centered approaches
Active Momentum
Growing collaborations: - GBHI partnerships - NIH funding - Regional networks - 2.8% → 15% corporate target achievable
Already Working:
✓ ReDLat: $20M+ over 5 years
✓ BrainLat: Regional support
✓ Fogarty D43: Training program
✓ LAC-CD: Network established
✓ PSEN1: Global recognition
✓ COLNE: National organization
Next Steps (Years 1-3):
→ Scale successful models 5-10x
→ Leverage existing networks
→ Build on proven expertise
→ Increase from 0.29% to 0.5% GDP R&D
→ Double PhD capacity (feasible)
→ Corporate partnerships: 2.8% → 15%
The Investment Case
$50M/year = 0.5% health GDP
This is NOT starting from zero—it’s scaling proven success
ROI: Regional leadership, knowledge sovereignty, reduced brain drain, clinical equity
Colombia has the foundation. Now needs the scale.
What Makes Colombia Unique:
Proven scientific excellence (PSEN1, LAC-CD)
Social impact expertise (SDH research, resilience)
Regional leadership (ReDLat co-founder)
Implementation science focus (not just publications)
Diversity as strength (genetic, environmental, social)
Community engagement (10+ years Brain Awareness)
Colombia Can Become:
→ Regional neuroscience hub for LAC
→ Model for equity-focused research globally
→ Leader in social neuroscience and brain health under adversity
→ Bridge between HIC and LMIC approaches
→ Incubator for affordable biomarkers and accessible diagnostics
→ Training center for Latin American neuroscientists
From surviving with limited resources
To thriving as a regional powerhouse
Colombia has world-class capacity: PSEN1 cohort (largest globally), LAC-CD co-leadership, ReDLat founding partner, 11.8% in top 10% cited—plus unique expertise in social determinants and resilience
Active momentum with major initiatives: ReDLat ($20M+, 5 years), BrainLat partnership, Fogarty D43, LAC-CD network—infrastructure already growing
Distinctive competitive advantages: Regional hub potential, expertise in adversity contexts, affordable biomarker innovation, implementation science focus, community-centered approaches
But scale limited by structural gaps: Bottom 25% OECD in R&D (0.29% GDP), 256 researchers/million, 2.8% corporate collaboration—need to scale 5-10x
Clinical consequences measurable: 70%+ FTD misdiagnosis, 62% epilepsy treatment gap—but proven interventions exist
AI risk without foundation: 87% AI trained on non-Colombian data, ZERO validated algorithms—but can be addressed with infrastructure investment
Path forward is realistic: Build on proven successes, leverage existing networks, $50M/year (0.5% health GDP), Years 1-3 critical for scaling
Colombia is not starting from zero—it’s scaling proven excellence
Questions & Discussion
Pablo Reyes, PhD
Colegio Colombiano de Neurociencias (COLNE)
Pontificia Universidad Javeriana
reyes.p@javeriana.edu.co
webpage
www.pabloreyesg.carrd.co
Data sources: Scopus (2020-2024), OECD STIP Compass, OECD STI Scoreboard 2025
Full manuscript and references available upon request
Structural Gaps in Colombian Neuroscience