Developing practical AI oversight frameworks that keep humans in control of consequential AI decisions, starting where governance capacity is weakest.
Developing practical AI oversight frameworks that keep humans in control of consequential AI decisions, starting where governance capacity is weakest.
My project addresses one of the most prevalent and urgent problems in AI safety, the absence of practical human oversight frameworks that can function across various institutional settings globally.
The core existent risk (x-risk) driving this work are alignment, control and misuse. An AI that does not understand human values, resist being corrected or fall into a wrong hand represent a genuine civilisation or human extinction threat.
My Standard Operating procedure (S.O.P) that defines human review and when to escalate by detecting how AI is reviewed and when to escalate to human to control AI autonomy is at its draft (developmental) stage through my volunteer work on the legal committee at AIEI (AI Ethics and Integrity International Association).This directly interrupts ungoverned AI Autonomy.
I am also a volunteer AI Policy Researcher at the Africa Strategic Policy and AI Resource Centre (AFRI-SPARC, where I conduct research on AI laws, frameworks and also contribute to policy analysis across diverse regulatory contexts.
My MSC in AI Ethics and Society at the University of Leeds where I will be focused on finalising this research in an environment that offers the necessary resources, professional network and focused atmosphere is the vehicle I need that takes this work from practitioner level contribution to internationally credible research that institutions globally can adopt and implement.
The biggest x-risk is not just that AI becomes powerful. It is that power over AI concentrates in the hands of a few while everyone else loses the ability to check, correct or override it.
My SOP work addresses this directly. When you define precisely when humans must review AI outputs and when to escalate, you are not just creating a process document. You are building the institutional muscle that keeps AI autonomy within human controlled boundaries. Without that muscle, organisations, governments and communities gradually lose the ability to intervene when AI systems behave in ways that are harmful, biased or misaligned with human values.
Most oversight frameworks currently exist only in well resourced regulatory environments. They do not account for institutions with limited capacity, small teams or no dedicated compliance function. That gap is where x-risk quietly accumulates. An AI system operating without oversight in a low capacity institution is not a contained risk. It is a concentration point where power flows unchecked to whoever controls the technology.
My research at Leeds will produce oversight frameworks specifically designed to work across different institutional sizes, sectors and regulatory contexts globally. The goal is practical tools that any organisation can adopt, not just the ones that already have the resources to build their own.
Team Member
Minimum Funding: $15,000
Partial tuition contribution toward the MSc in AI Ethics and Society at the University of Leeds.
Ideal Funding: $31,000
Partial tuition contribution, 12 months rent in Leeds and conference attendance.
No comments yet. Be the first to share your thoughts.