Blessing Ademulegun

Blessing Ademulegun

AI Ethicist
Akure, NG.

About

Highly accomplished AI Ethicist with over 8 years of experience leading responsible AI development and implementation initiatives. Specializing in identifying and mitigating algorithmic biases, particularly those affecting underrepresented communities and regions with limited data infrastructure, I spearhead research on bias detection methodologies and define customized AI governance frameworks. My expertise encompasses ethical AI compliance, policy development, and driving digital equity, consistently ensuring AI systems align with global benchmarks while promoting inclusive, responsible and human-centred technological advancement.

Work

Africa Tech for Development Initiative
|

Vice President and Chief AI Ethicist

Akure, Ondo State, Nigeria

Summary

Leads strategic oversight and key initiatives for ethical AI, digital equity, and youth empowerment across Africa, driving responsible technology adoption and policy development.

Highlights

Provided comprehensive oversight for project execution across ethical AI, digital equity, tech for development, and youth empowerment, ensuring strategic alignment and impact.

Spearheaded research into algorithmic bias detection methodologies, specifically addressing disparities in African data representation within mainstream AI systems.

Evaluated enterprise AI systems for ethical compliance against multiple international benchmarks, including the EU AI Act, GDPR, and NDPR, ensuring robust governance.

Defined and implemented customized responsible AI governance frameworks for companies, establishing robust ethical AI adoption and operational guidelines.

TechKids AI
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Executive Board Member

London, England, UK

Summary

Drives AI literacy and responsible technology education initiatives for the next generation, promoting ethical AI use and seamless technology integration.

Highlights

Spearheaded AI literacy and responsible tech education initiatives for the next generation, fostering ethical AI use and seamless technology integration.

Developed and implemented engaging, relatable concepts to empower children to navigate the AI-driven world responsibly.

VisionX Ecosystem
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AI Ethicist

San Francisco, CA, US

Summary

Conducted in-depth research on ethical AI development and deployment, analyzing AI-generated content impacts and co-authoring a book on algorithmic bias.

Highlights

Carried out comprehensive research on the ethical development and deployment of AI systems, informing best practices and mitigating risks.

Analyzed the ethical impact of AI-generated content, proposing and implementing guidelines to address inherent biases effectively.

Partnered with the development team to build 'VisionX Scan,' a tool designed to accurately detect and remove systemic biases and anomalies from AI systems, reducing biases by over 30 %.

Co-authored 'The Truth Behind The Code' with Antwyne DeLonde, contributing to public discourse on ethical AI and algorithmic bias.

Researched deeply into systemic biases entrenched in modern AI systems, documenting real-world cases demonstrating community impact.

Proposed innovative governance models that effectively balance technological innovation with robust ethical oversight.

Skills

Algorithmic Bias Mitigation

Algorithmic Bias Mitigation, Diversity, Equity & Inclusion (DEI) in AI, IBM Fairness 360, Microsoft Fairlearn, Aequitas, Arize AI.

AI Technologies & Tools

Neural Networks & Deep Learning, LLMs, RAG, GPT-4.0, Claude 4.0, Sonar Large (Llama 3.1), Gemini, Grok, DeepSeek, Hugging Face, TensorFlow, PyTorch, DALL-E 3, Canva, Machine Learning.

Professional & Communication

Critical thinking, Public speaking.

Data & Policy

Data Privacy & Protection (Federated Learning), AI Stakeholder Engagement, Data analysis, Risk management.

AI Ethics & Governance

AI Ethics & Governance, Responsible AI Framework Implementation, AI Compliance & Risk Assessment, Ethical AI Architecture Design, EU AI Act, UNESCO Recommendation on AI Ethics, African Union Continental AI Strategy, OECD, Nigeria Data Protection Regulation (NDPR), National Artificial Intelligence Strategy (NAIS), General Data Protection Regulation (GDPR).

Education

Federal University of Technology, Akure (FUTA)
Akure, Ondo State, Nigeria

B. TECH

Food Science and Technology

Pan African Centre for AI Ethics

Summer School

Courses

AI Accountability

Corporate Governance

Organizational Frameworks

Mechanisms for Explainability

Bias Mitigation

Role of Human Oversight

AI literacy

The Linux Foundation

Courses

Ethical Principles for Conversational AI (LFS118)

What is Conversational AI?

Risks and Benefits of Conversational AI

Voice Data Analysis

Ethical Framework for Trustworthy Experiences

Open Voice TrustMark Initiative