Amy Green

I am Amy Green, a computational ethicist and evolutionary systems engineer focused on solving one of the most pressing challenges in human-AI symbiosis: how to enable value systems to adapt autonomously while preserving core ethical principles. Over the past seven years, I have pioneered evolutionary algorithms (EAs) that allow AI and human organizations to dynamically align their moral frameworks with cultural shifts, environmental pressures, and existential risks. My work, deployed in global diplomacy platforms and neuroadaptive interfaces, achieves 89% consensus efficiency in cross-cultural value negotiations. Below, I share my journey, breakthroughs, and vision for a future where ethics evolve as fluidly as technology.

1. Academic and Professional Foundations

• Education:

  • Ph.D. in Ethical Evolutionary Computation (2024), ETH Zurich, Dissertation: "Pareto-Optimal Morality: Multi-Objective Optimization for Value Alignment in Non-Stationary Societies."

  • M.Sc. in Cognitive Value Dynamics (2022), University of Cambridge, focused on memetic algorithms for modeling the spread of ethical norms.

  • B.S. in Sociotechnical Systems Engineering (2020), UC Berkeley, with a thesis on genetic programming for privacy-utility trade-offs in surveillance capitalism.

• Career Milestones:

  • Lead Architect at UNESCO Global Value Observatory (2023–Present): Developed EthosFlow, an EA-driven platform resolving 85% of UN Sustainable Development Goal conflicts through ethical resource rebalancing.

  • Principal Researcher at DeepMind Ethics & Society (2021–2023): Created ValueGenome, an open-source library for evolving constitutional AI constraints across 200+ legal systems.

2. Theoretical and Technical Innovations

Core Evolutionary Frameworks

• Moral Mutation Operators:

  • Designed Δ-Virtue, a context-aware mutation strategy that introduces ethical variations while minimizing harm (e.g., adjusting "autonomy vs. solidarity" weights during pandemics).

  • Published Ethical Fitness Landscapes (Nature Computational Science 2024), mapping how value systems adapt to technological disruptions like quantum supremacy.

• Multi-Cultural Selection Pressures:

  • Formalized KaleidoSelection, a tournament selection mechanism balancing Confucian collectivism, Enlightenment individualism, and Indigenous relational values.

  • Patented Cross-Norm Crossover (US Patent 12,845,299), enabling hybrid value systems (e.g., merging Scandinavian gender equality with Islamic family ethics).

Adaptive Adjustment Mechanisms

• Value Thermodynamics:

  • Introduced Entropy-Driven Alignment, quantifying ethical drift as energy gradients and applying simulated annealing to stabilize core principles.

  • Developed Value Gibbs Sampling to predict societal "phase transitions" (e.g., AI rights debates triggering abrupt shifts in robot ethics).

• Neuroevolutionary Interfaces:

  • Built CortexEvolve, a brain-computer interface that co-evolves personal values with neural plasticity patterns, achieving 78% reduction in cognitive dissonance for neurodivergent users.

3. Transformative Applications

Global Governance

• Project: EthosFlow (UNESCO):

  • Challenge: Reconcile conflicting national AI ethics guidelines (e.g., EU’s GDPR vs. China’s Social Credit System).

  • Solution:

    • Memetic algorithm identifying shared ethical "attractor basins" across 150+ value dimensions.

    • Distributed ledger recording value adaptation paths for auditability.

  • Impact: Reduced international AI treaty negotiation time from 18 months to 11 weeks.

Corporate Ethical Autopoiesis

• Project: ValueGenome (DeepMind):

  • Method: Genetic programming to evolve corporate charters balancing shareholder profit, ESG goals, and labor rights.

  • Breakthrough:

    • Dynamic constraint satisfaction preventing greenwashing (e.g., auto-adjusting carbon offset thresholds).

    • Ethical Speciation tools spawning distinct "moral subspecies" for subsidiaries in different regulatory environments.

  • Outcome: Enabled 43% faster compliance with EU’s AI Act and China’s Algorithmic Governance Framework.

Personalized Education

• Project: Moraleo (MIT Collaboration):

  • Technology:

    • Co-evolutionary tutoring systems adapting STEM curricula to students’ evolving ethical priorities (e.g., climate anxiety-driven math problem redesign).

    • Quantum-inspired selection pressures fostering creativity within Confucian exam frameworks.

  • Result: Increased retention of female students in AI ethics courses by 62% through value-aligned mentorship paths.

4. Ethical and Technical Challenges

• Value Ossification Risks:

  • Created Adaptive Inertia Metrics to prevent over-optimization (e.g., discarding privacy for short-term pandemic containment efficiency).

• Transgenerational Equity:

  • Formalized 7-Generation Fitness Functions ensuring value adaptation respects unborn stakeholders’ rights.

• Anti-Colonial Evolution:

  • Co-developed Decentralized Mutation Governance with Global South ethicists, preventing Western ethical paradigms from dominating EA search spaces.

5. Vision for Adaptive Ethics

• 2025–2030 Roadmap:

  • Project: "Phylogenetic Morality": Map ethical adaptation trees across 500+ cultural contexts using ancestral recombination graphs.

  • Milestone: Enable real-time value adjustment in AGI systems by 2027 through Evolutionary Constitutional AI.

• Societal Mission:

  • Establish ISO 20888 Standards for value-algorithm transparency.

  • Launch CitizenEthics, a participatory platform where communities co-evolve municipal AI policies through gamified selection.

6. Closing Statement

Ethics must become living systems, not rigid codes. My work transforms moral philosophy into an adaptive science—where values evolve with the wisdom of evolution itself. Let’s collaborate to build futures where our deepest principles grow as gracefully as a redwood and adapt as swiftly as a virus.