Build Trust Into Every Algorithm.

CoreEthicAI designs ethical intelligence into the fabric of how AI works—and who it serves.

Latest News

White Paper | 7/12/2025

AI Agents | 7/11/2025

Model Update | 7/1/2025

Book Spotlight | 5/12/2025

We offer a full suite of advanced AI solutions and consulting services whether you're deploying AI in education, health, compliance, or automation, we guide you from design to governance.

Our clients include:

  • K–12 and Higher Education institutions

  • Healthcare providers

  • Businesses and enterprise teams

  • Political and regulatory agencies

  • Philanthropic foundations & nonprofits

  • Faith-based and community organizations

  • Multinational and intergovernmental bodies

  • Research institutions and AI labs

At CoreEthicAI, we bridge the rigor of academia with the agility of industry to help organizations lead with trust, transparency, and innovation.

CoreEthicAI is a trusted partner at the intersection of artificial intelligence, ethics, and institutional governance. We help organizations build intelligent systems and policies that are technically sound, socially responsible, and ethically grounded.

Who We Are

What We Do

  • Prompt Consulting

    Prompt Consulting

    We design in-depth prompts drawing on our decades long expertise in academia and the private sector. Our prompts go beyond syntax to reflect how real people think, decide, and communicate across domains like law, academia, business, and policy. We craft domain-aware, bias-conscious, and contextually intelligent inputs that make your AI more accurate, trustworthy, and aligned with your goals.

  • Civic Algorithm Review Board (CARB)

    Civic Algorithm Review Board (CARB)

    Our Civic Algorithm Review Board (CARB), we assess your AI systems for fairness, transparency, and risk—offering an independent Ethical Score and public-facing certification for high-stakes applications and compliance to regulatory systems. The CARB Score is rapidly becoming a benchmark for AI accountability trusted by organizations seeking to align with global standards.

  • RDS ³: Crisis Forecasting Intelligence

    RDS ³: Crisis Forecasting Intelligence

    Our proprietary Recursive Deterrence Simulation & Scenario Synthesis (RDS³) helps organizations forecast political, economic, and ethical risks in complex situations used by leaders in government, business, security, and research.

  • Research & Insight Lab

    Research & Insight Lab

    Our Research & Insight Lab is a core product that delivers thought leadership, applied analysis, and strategic foresight across the evolving AI landscape. Grounded in academic rigor and informed by real-world deployments, our research and commentary serve practitioners, policymakers, and educators navigating high-stakes AI adoption. We publish original investigations, ethical evaluations, and frameworks that influence how AI is built, understood, and governed.

  • AI Governance & Capacity Suite

    AI Governance & Capacity Suite

    Our AI Governance & Capacity Suite offers hands-on tools and frameworks to help individuals and organizations adapt, govern, and grow responsibly in an AI-saturated world. This offering blends human-centered training with technical oversight including:

    Interactive Workshops, Policy & Governance Briefs, Compliance & Risk Audits, and Monitoring & Ethical Support.

  • Ongoing Monitoring & Support

    Ongoing Monitoring & Support

    Continuous oversight and adaptive support systems that evolve with your AI deployment, ensuring sustained ethical performance and regulatory alignment as technology and standards advance. Your ethical AI partner for the long term.

Client Impact

  • Client: Intergovernmental think tank on crisis forecasting.

    Challenge: Existing models couldn’t flag social instability early enough to act.

    What We Did:

    • Deployed our RDS³ early-warning framework

    • Integrated multilingual social data and regional press via custom AI pipelines

    • Fine-tuned models to recognize non-Western discourse signals often missed by standard LLMs

    Impact: Crisis alerts now arrive 3–5 weeks earlier — enabling targeted humanitarian response and diplomatic pre-positioning.

  • Client: Global non-profit faith and ethics organization.

    Challenge: Their community feared AI tools violated spiritual and cultural values.

    What We Did:

    • Facilitated dialogue between clergy, ethicists, and developers

    • Built custom prompting frameworks aligned with religious literacy

    • Issued a CoreEthicAI CARB Certification to ensure transparency and ethical standards

    Impact: Major congregations adopted AI-enabled services with community trust and blessing — not backlash.

  • Client: EdTech platform serving K–12 districts.

    Challenge: Their AI tutor showed performance drops in low-income school districts.

    What We Did:

    • Performed a model stress test across ZIP-code stratified data

    • Overhauled the LLM prompts to be culturally responsive and reading-level aware

    • Trained staff on equity-focused model tuning through our consulting program

    Impact: Student engagement up 42% in underperforming schools; platform adopted in 6 new districts within one semester.

  • Client: A national healthcare nonprofit.

    Challenge: Their AI chatbot gave generic, often confusing responses to patients with chronic conditions.

    What We Did:

    • We reverse-engineered 50+ flows and identified key failure points in structure, tone, and domain specificity.

    • Replaced brittle system prompts with multi-layered, context-aware instructions

    • Embedded semantic guards to maintain empathy, accuracy, and compliance (HIPAA, ADA)

    • Used few-shot learning via prompt chains to simulate real medical triage reasoning

    • Clinicians reviewed AI outputs and co-designed prompt variants using our visual prompt builder.

    Impact: 76% increase in patient satisfaction (measured via post-chat survey). Reduced average resolution time by 40%.

  • Client: A state government HR department.

    Challenge: The hiring system was quietly filtering out candidates from minority zip codes.

    What We Did:

    • Conducted a Civic Algorithm Audit to identify bias in geographic features

    • Re-engineered prompt and filter logic using domain-aware fairness constraints

    • Trained staff on ethical model iteration through our Prompt Intelligence Toolkit

    Impact: 32% increase in candidate diversity within 90 days — without changing legal hiring criteria.

Contact Us

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