Additional information
by Babajide J. Asaju (Author)
DEFT turns our ideas of fairness and sharing in a tech-controlled society upside down. This book lays out a complete plan bringing together AI ethics, public policy, and fair algorithms. It refines how to create systemic equity across digital board, economic, and institutional systems using practical tools and global strategies. This book lays the groundwork for the future of AI justice, ethics, and policy realignment. Under the DEFT framework equity needs to remain actively engaged with the circumstances and operate across various levels of the system. The system continually develops alongside transformations in social structures while technological developments and environmental fluctuations and economic movements, this process enables it to deliver strategic approaches and laws combined with visual organizational schemes which drive effective practical implementation.
- The book presented a framework replacement is needed which represents contemporary complexity through its responsive and active mechanisms.
- The book integrates DEFT alongside its supporting actionable sub-theories and tools (EFLT, TEST, AGET, HVET, etc.).
- It Influence equity-centered design and governance in sectors like education, technology, healthcare, environmental planning, and AI ethics.
- The book suggests two institutional mechanisms consisting of the Dynamic Responsibility Act (DRA) and Equity Dashboards for equity management.
Author Biography
Babajide J. Asaju is a cybersecurity specialist and AI governance researcher whose work spans technology policy, national security, and organizational risk. He is a Donald R. Beall Defense Fellow at the Naval Postgraduate School, where his work engages in defense-focused research on cybersecurity, AI governance, and institutional resilience. He is also an adjunct professor at Towson University and the originator of the Dynamic Equity Framework Theory (DEFT).
Asaju holds professional certifications including CISM, SHRM-SCP, Lean Six Sigma Master Black Belt, CCNP Security Core, and PMP. He is a member of PMI, ISACA, SSGI, SHRM, ACM, and IEEE. His research focuses on cybersecurity governance, AI policy, and equitable decision-making systems shaping emerging technologies and institutional decision-making.
