Interdisciplinary AI Ethics Research
Published by
Peer-reviewed Journal
Summary
Peer-reviewed research exploring ethical considerations and frameworks within interdisciplinary AI systems.
About
An accomplished AI Researcher, Engineer, and Innovator specializing in the ethical design and development of advanced AI systems. Leverages deep expertise in sentient AI, cognitive architectures, and AGI safety to bridge cutting-edge technology with human-centered values and regulatory compliance (GDPR, EU AI Act, UN AI Ethics Guidelines). Drives innovation through cross-disciplinary collaboration, strategic thinking, and technical excellence to deliver impactful, ethically responsible AI solutions with a strong commitment to humanitarian impact.
Work
Self-Employed
|AI Research Scientist || Divine Technologist
Global, Remote, US
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Summary
As an independent AI Research Scientist and Divine Technologist, Favour Ernest leads pioneering research into ethical AI, AGI safety, and human-centered design, shaping global policy frameworks and advancing responsible innovation.
Highlights
Pioneered theoretical research into sentient AI systems, including computational consciousness and moral reasoning, to define ethical frameworks for artificial sentience and AI personhood.
Conducted interdisciplinary research on AI governance and regulatory compliance, directly contributing to policy frameworks aligned with GDPR, the EU AI Act, and UN AI Ethics Guidelines.
Authored and presented strategic white papers to stakeholders and policymakers, advising on the legal and societal impacts of autonomous and generative AI, including AI liability and data rights.
Collaborated with legal experts to inform and shape ethical AI deployment standards, fostering transparency and accountability across diverse sectors.
Cybervergent
|Technology Solution Associate
Remote, Remote, US
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Summary
At Cybervergent, Favour Ernest spearheaded the development of ethical AI infrastructure and founded a Centre of Excellence, ensuring regulatory compliance and integrating advanced data science techniques.
Highlights
Spearheaded the development and implementation of ethical AI infrastructure within a Tier 1 regulatory environment, ensuring compliance with stringent industry standards.
Founded and led the Unstructured Data Centre of Excellence, focusing on ethical design, inclusive Machine Learning, and policy-first engineering principles.
Partnered with legal and data governance teams to align complex AI systems with evolving regulatory landscapes, mitigating compliance risks.
Drove continuous improvement by actively participating in industry conferences and workshops, integrating the latest data science techniques and technologies.
Odi Ventures
|Machine Learning Engineer
Remote, Remote, US
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Summary
At Odi Ventures, Favour Ernest developed and deployed advanced machine learning models for financial fraud detection and predictive analytics, ensuring robust and fair outcomes.
Highlights
Applied advanced anomaly detection techniques to identify financial fraud and policy violations, enhancing compliance within strict regulatory frameworks.
Developed robust and fair Bitcoin trend models using statistical learning approaches, improving predictive accuracy and reliability.
Autogon AI
|Contract Research Scientist
Remote, Remote, US
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Summary
At Autogon AI (USA), Favour Ernest led applied AI research projects, enhancing explainability and auditability in ML/deep learning workflows and ensuring interdisciplinary compliance.
Highlights
Led applied AI research projects, enhancing explainability and auditability in machine learning and deep learning workflows.
Championed ethical documentation and interdisciplinary compliance, ensuring AI tool development adhered to high standards.
Evaluated and integrated new technologies into research processes, driving continuous improvement and efficiency gains.
Delivered all testing projects on schedule and under budget, contributing to successful company-wide initiatives.
Eunomy
|Senior Data Scientist
Remote, Remote, US
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Summary
At Eunomy, Favour Ernest led the design and deployment of an ML system for vulnerable customer detection and significantly influenced company-wide AI governance strategy through white paper authorship.
Highlights
Led the design and deployment of an ML system to detect vulnerable customers, integrating responsible AI principles to enhance ethical data practices.
Co-authored an internal white paper on unstructured data ethics, directly influencing and shaping the company's AI governance strategy.
Championed the implementation of bias auditing pipelines, contributing to the establishment of robust, policy-aligned MLOps standards.
First Vision
|Data Scientist
Remote, Remote, US
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Summary
At First Vision, Favour Ernest developed internal tools for fairness auditing, led an AI Governance subgroup, and designed process mining solutions with legal traceability, establishing critical standards for responsible AI.
Highlights
Developed internal tools for comprehensive fairness auditing and bias evaluation across multiple NLP models, enhancing model integrity.
Led the AI Governance subgroup within the Responsible AI team, establishing critical model monitoring and documentation standards.
Designed and implemented process mining solutions with integrated legal traceability features, ensuring compliance and accountability.
Education
Abia State University
Umuahia, Abia State, Nigeria
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B.Sc.
Biochemistry
Awards
Recognized by GTA Black Women in Tech
Awarded By
GTA Black Women in Tech
Recognized for contributions and leadership within the tech community, fostering diversity and inclusion.
Voices in the Shadows Nominee
Awarded By
Voices in the Shadows
Nominated for significant impact and influence, highlighting expertise and thought leadership in the field.
Publications
Machine Learning for Host-Based Intrusion Detection Systems
Published by
Peer-reviewed Journal
Summary
Peer-reviewed research on the application of machine learning in Host-Based Intrusion Detection Systems (IDS).
Ethics in Unstructured Data AI Systems
Published by
Internal Publication
Summary
Internal white paper detailing ethical considerations for AI systems handling unstructured data, influencing internal governance.
Future of AI Embedded Society
Published by
Internal Publication
Summary
Internal white paper exploring the societal implications and future of AI integration within a global context.
Languages
French
English
Certificates
Getting Started with AI using Watson
Issued By
IBM
Python for Data Science, AI & Development | SQL for Data Science | Intro to Artificial Intelligence
Issued By
Online Learning Platforms
Blockchain Specialization
Issued By
University of Buffalo
Cybersecurity Engineering Virtual Internship
Issued By
Forage
Skills
AI Ethics & Governance
Responsible AI, AI Ethics & Fairness, Algorithmic Bias Mitigation, AI Governance, AI Policy and Regulation, AGI Safety, Artificial Consciousness & Machine Ethics, Moral Reasoning & AI Autonomy, Legal AI Compliance (GDPR, AI Act), Explainable AI (XAI), AI Alignment Research, Human-Centered AI, Policy Development, Data Governance, Risk Management in AI, Socio-technical AI Systems.
AI Research & Development
Sentient AI, Cognitive Architectures, AGI Safety Research, Interdisciplinary AI, Research Writing, LLM Fine-tuning & Retrieval-Augmented Generation, Natural Language Processing (SpaCy, NLTK, Transformers).
Programming & Tools
Python, PyTorch, TensorFlow, Hugging Face, MLOps (MLFlow, Airflow), CI/CD (Git, Jenkins, SonarQube), Data Pipelines (Apache Spark, Hadoop, Neo4j), Cloud Platforms (AWS, GCP, Azure).