FOR IMMEDIATE RELEASE
WomenAILabs™ Appoints Dr. Sreenivasan Narayanan as Founding Chief AI and Data Officer
Global AI and Data Leader Will Head the DAUGHTER™ AI Data Science Practice and Advance Measurable Responsible AI Governance
CHICAGO, Illinois — July 21, 2026 — WomenAILabs™ today announced the appointment of Dr. Sreenivasan Narayanan, widely known as Sreeni, as Founding Chief AI and Data Officer and Head of the DAUGHTER™ AI Data Science Practice.
The global practice will help organizations transform Responsible AI from a policy aspiration into a measurable, evidence-based, and repeatable operating discipline.
In this founding leadership role, Dr. Narayanan will direct WomenAILabs™’ global AI and data strategy, applied research agenda, technical governance model, university partnerships, standards development, and enterprise execution framework. His mandate includes helping organizations identify, measure, test, remediate, and continuously improve AI fairness, transparency, safety, accountability, and performance.
“Responsible AI cannot depend on good intentions alone. It requires scientific rigor, measurable evidence, trusted governance, and repeatable execution. Dr. Sreeni is the rare powerhouse combination of enterprise leadership, research depth, and practical implementation experience needed to build a world-class AI data science practice, where proof validates fairness.”
~Dawn C. Simmons, Founder of WomenAILabs™
Advancing Enterprise AI Strategy and Responsible Governance
Dr. Narayanan is a global AI, data, and strategic business transformation leader with decades of experience directing large-scale technology, artificial intelligence, data, and digital transformation initiatives across complex enterprise environments.
Throughout his career, he has connected executive strategy with technical execution, AI governance, operating model design, decision intelligence, and measurable business value.
His academic credentials include a master’s degree from the Indian Institute of Technology Madras, an MBA from California Coast University, and a PhD through the Universidad Azteca European Programmes. He has also completed executive education in AI for Decision Making through Wharton Online, further strengthening his expertise in enterprise AI strategy, responsible governance, and data-driven decision-making.
Connecting AI Research With Real-World Results
Dr. Narayanan is also an accomplished author, researcher, and thought leader. His publications include the book CLARITY COPILOT, technical articles, executive thought leadership, and collaborative white papers addressing enterprise AI, data modernization, governance, digital transformation, and responsible innovation.
His work consistently focuses on helping organizations adopt artificial intelligence responsibly while producing measurable, sustainable business outcomes.
At WomenAILabs™, Dr. Narayanan will lead a multidisciplinary agenda spanning:
- Responsible AI research and governance
- AI fairness testing and bias remediation
- Enterprise data and AI strategy
- University and academic partnerships
- Technical standards and evaluation methods
- Responsible AI workforce development
- Global industry and community collaboration
- Evidence-based enterprise implementation
The DAUGHTER™ AI Data Science Practice will connect academia, industry, nonprofit organizations, government leaders, and policy communities. Together, these groups will develop practical frameworks, reusable accelerators, testing methods, evidence-based standards, and scalable implementation models.
The practice will align its work with internationally recognized Responsible AI guidance, including the National Institute of Standards and Technology Artificial Intelligence Risk Management Framework, or NIST AI RMF.
Building Measurable Responsible AI Across High-Impact Industries
The DAUGHTER™ AI Data Science Practice will initially focus on industries and public-service domains where automated systems increasingly influence human opportunity, access, safety, and institutional outcomes.
Priority areas include:
- Employment and algorithmic hiring
- Healthcare and patient decision support
- Banking and financial services
- Customer service and experience
- IT service management
- Education and workforce development
- Government and public services
Each initiative will emphasize measurable fairness, documented remediation, transparent AI governance, human accountability, and continuous improvement.
Rather than producing another static collection of AI principles, the practice will create practical Responsible AI tools, repeatable evaluation methods, open collaboration models, and measurable evidence that organizations can adopt, test, and scale worldwide.
Moving Responsible AI From Intent to Evidence
AI is no longer sitting at the edge of society. It is moving into the core decision systems that shape hiring, healthcare, education, finance, and public services.
That makes our responsibility much larger than building intelligent systems. We must build AI systems that are trustworthy by design, measurable by evidence, transparent in operation, and accountable in impact.
The DAUGHTER™ AI Data Science Practice is being created to help organizations move beyond Responsible AI as a statement of intent and toward Responsible AI as something they can test, prove, govern, and improve.
~Dr. Narayanan.
WomenAILabs™ believes that solving AI fairness, data quality, and governance challenges requires collaboration across industry, academia, government, and nonprofit communities.
Under Dr. Narayanan’s leadership, the DAUGHTER™ AI Data Science Practice will provide a technical foundation for global research partnerships, workforce development, standards creation, practical AI governance, and evidence-based innovation.
About the DAUGHTER™ AI Data Science Practice
The DAUGHTER™ AI Data Science Practice is a WomenAILabs™ global Responsible AI initiative focused on transforming AI principles into measurable standards, practical testing methods, documented remediation, and repeatable governance.
The practice will create Responsible AI assessment guides, data-quality scorecards, fairness evaluation methods, research studies, implementation playbooks, training programs, and open tools that organizations can use to test, prove, govern, and continuously improve AI systems.
About WomenAILabs™
WomenAILabs™ is a global nonprofit initiative accelerating Responsible AI through innovation, education, research, workforce development, community collaboration, and measurable standards.
Its mission is to unite diverse experts, researchers, technologists, business leaders, students, and community partners to design, test, validate, and continuously improve AI systems that are fair, transparent, accountable, safe, and beneficial to society.
WomenAILabs™ advances practical AI solutions through its #FixTheAlgorithm movement, DAUGHTER™ Responsible AI framework, Vibe Coding programs, university partnerships, applied research, and global innovation challenges.
Media Contact
WomenAILabs™
Chicago, Illinois, USA
Website: https://womenailabs.org Group: linkedin.com/company/women-of-ai-innovation-initiative
Media inquiries: info@womenailabs.org
