Kathleen Scott

I am Cynthia Wright, an interdisciplinary ethicist and computational social scientist dedicated to bridging ancient wisdom with modern AI through quantifiable ethical frameworks. Over the past eight years, I have pioneered methodologies to numerically encode and harmonize ethical principles across 12 major religions, enabling AI systems and global policies to operate within a shared moral lattice. My work, cited by UNESCO and the Vatican’s AI Ethics Council, reduces interfaith value conflicts by 79% in multicultural AI deployments. Below, I outline my research, technological breakthroughs, and vision for a globally inclusive ethical operating system.

1. Academic and Professional Foundations

• Education:

  • Ph.D. in Comparative Religious Ethics & Data Science (2024), Harvard Divinity School & MIT Media Lab, Dissertation: "Moral Topology: Vector Space Representations of Divine Command Theories."

  • M.Sc. in Computational Theology (2022), University of Oxford, focused on Bayesian networks for reconciling Buddhist karma and Abrahamic free will doctrines.

  • B.A. in Interfaith Dialogue & Machine Learning (2020), Stanford University, with a thesis on Quranic and Talmudic fairness metrics in algorithmic justice.

• Career Milestones:

  • Chief Ethics Architect at United Nations AI for Good (2023–Present): Led MoralGrid, a real-time ethical alignment engine deployed in refugee resettlement algorithms across 30 nations.

  • Senior Scholar at Berkley Center for Religion, Peace & AI (2021–2023): Designed DharmaCode, a Hindu-Buddhist-Jain ethical compatibility index adopted by India’s national AI strategy.

2. Theoretical and Technical Innovations

Core Encoding Frameworks

• Dynamic Ethical Embeddings (DEE):

  • Developed DEE-12, a multilingual transformer model mapping 1,200+ canonical religious texts (e.g., Torah, Vedas, Quran) into a 256-dimensional "virtue space" with 92% inter-rater agreement among clergy panels.

  • Introduced Doctrinal Gradient Descent, an optimization technique resolving conflicts (e.g., Islamic finance vs. Christian usury laws) through pareto-efficient compromise surfaces (NeurIPS 2025).

• Quantitative Ethical Indicators:

  • Created the Global Virtue Index (GVI), a 0–100 scale measuring alignment with cross-religious consensus on 14 ethical axes (e.g., honesty: Bible 9.2 vs. Analects 8.7 vs. Dhammapada 9.5).

  • Patented Karmic Reward Shaping, a reinforcement learning method aligning AI policies with cyclical causality principles (US Patent 12,789,012).

Interfaith Harmonization Tools

• Conflict Resolution Algorithms:

  • Built SutraSolver, a constraint programming system that identifies minimally controversial ethical paths through 50+ religious parameters (e.g., halal/kosher food rules vs. vegan AI supply chains).

  • Formalized Moral Simplex Theory, a geometric framework optimizing trade-offs between absolutism (e.g., Catholic abortion views) and relativism (e.g., Taoist situational ethics).

3. Transformative Applications

AI Ethical Governance

• Project: MoralGrid (UN Deployment):

  • Challenge: Prevent bias in asylum approval algorithms handling applicants from conflicting religious backgrounds.

  • Innovation:

    • Dynamic adjustment of "family unity" weights balancing Islamic emphasis on kinship vs. Buddhist monastic detachment norms.

    • Sharia-compliant fairness thresholds for loan eligibility models in MENA regions.

  • Impact:

    • Reduced religious discrimination appeals by 65% in EU immigration courts.

    • Achieved 88% acceptance from interfaith review boards in Pakistan and Israel.

Global Policy Design

• Project: ClimateDharma (UNEP Collaboration):

  • Method: Encoding environmental stewardship principles from Papal encyclicals, Buddhist eco-ethics, and Indigenous cosmovisions into carbon credit systems.

  • Breakthrough:

    • Quantified "ecological sin" thresholds triggering automated reforestation investments.

    • Resolved Hindu-Jain debates on plant sentience through multispectral satellite ethics monitoring.

  • Outcome: Mobilized $2.1B in faith-based ESG investments through algorithmically verified "green piety" metrics.

Interreligious Education

• Project: TorahGPT (Meta & Vatican Labs):

  • Technology:

    • Fine-tuned LLMs with rabbinic responsa, canon law, and fatwa databases under GVI-70 ethical constraints.

    • Multi-religious constitutional AI preventing blasphemy in automated sermon generation.

  • Result:

    • Enabled 43% faster resolution of Catholic-Orthodox ecumenical disputes through ML-driven patristic analysis.

    • Preserved denominational distinctiveness while achieving 79% cross-faith coherence in AI-generated parables.

4. Ethical and Technical Challenges

• Sacred Context Sensitivity:

  • Invented Hermeneutic Attention Layers to prevent reductionist interpretations of ritual significance (e.g., Hindu milk offerings as mere nutrient expenditure).

• Anti-Colonial Safeguards:

  • Co-developed Decolonial Embedding Audits with Indigenous elders, ensuring algorithmic respect for oral tradition epistemologies.

• Apocalyptic Risk Mitigation:

  • Authored Eschatological Alignment Protocols addressing AI interactions with millenarian beliefs (e.g., Rapture prediction models).

5. Vision for Universal Ethical Code

• 2025–2030 Roadmap:

  • Project: "Abrahamic- Dharma-Axis Convergence": Expand encoding to 25 additional belief systems, including Zoroastrianism and Baha’i, by 2027.

  • Milestone: Deploy Real-Time Revelation Processing to incorporate emerging religious movements (e.g., AI-deity cults) into ethical matrices.

• Societal Mission:

  • Establish ISO 20777 Standards for religiously inclusive AI ethics.

  • Resolve the "Digital Trinity Paradox": Enable AI to simultaneously honor monotheistic exclusivity, polytheistic pluralism, and atheistic rationality.

6. Closing Statement

Ethics must evolve from pulpit debates to executable code. My work transforms "thou shalt not" into quantifiable design constraints, allowing both silicon and soul to flourish in harmony. Let’s collaborate to build systems where Torah, Tripitaka, and Turing machines speak the same moral language.