MKAI

Interpreting the Institutional Impact of Artificial Intelligence

MKAI studies how artificial intelligence redistributes power and responsibility inside human systems. We examine how algorithms influence decisions, accountability, and the boundaries of trust across public and private institutions.

Our work helps leaders interpret technological change with perspective and discipline, translating complex technical and policy shifts into practical frameworks that preserve organisational integrity and human agency.

What We Do

MKAI is an independent institute analysing the institutional consequences of artificial intelligence. We connect technical progress with the realities of governance, accountability, and capability.

Our research combines evidence, dialogue, and practical reflection to help organisations act responsibly in conditions of rapid change. Each project shares one objective: that progress in AI should strengthen, not displace, human understanding and institutional coherence.

MKAI

Current Lines of Enquiry​

Our research explores the systems that sustain responsible technological development.

Governance and Oversight
How authority and responsibility evolve when decision-making is distributed between humans and machines.

Capability and Knowledge
How organisations preserve skill, memory, and judgement as automation expands.

Trust and Public Confidence
How transparency, safety, and evidence shape legitimacy in the age of intelligent systems.

Publications

MKAI publishes independent analyses on how artificial intelligence affects governance, capability, and human agency. Our work translates complexity into insight that leaders can use.

Each publication examines how decisions are made, who is accountable for them, and how those decisions remain credible when intelligence becomes shared between people and systems.

Our Impact

MKAI’s work has informed national AI strategies, educational programmes, and institutional policy frameworks across multiple countries. We have advised governments in the United Kingdom, Germany, Turkey, Tunisia, Malawi, and Bermuda, and contributed to international dialogues with the United Nations and COP Summits.

Our approach measures progress differently. We assess how well organisations retain clarity, accountability, and the capacity for renewal — not how many systems they automate. The real test of AI strategy lies in whether it strengthens the judgement that makes human systems resilient.

Founder and Chair

Richard Foster-Fletcher

Richard Foster-Fletcher established MKAI in 2019 to create a space for honest and rigorous enquiry into the societal effects of artificial intelligence. Through MKAI, he collaborates with governments, universities, and international bodies to explore how automation alters responsibility and decision-making within institutions.

“When I began MKAI in 2019, I wanted to move the conversation about AI from enthusiasm to understanding. The goal has always been to equip thoughtful leaders to engage with technology without surrendering the human qualities that make leadership possible.”

— Richard Foster-Fletcher, Founder and Chair

Learn more about Richard’s Work

Our Guiding Principles

Ethical Focus

We study how ethical intent is realised in practice, connecting principles with institutional behaviour.;

Integrity in Method

Our research maintains transparency and accountability, grounded in evidence rather than opinion.

Human-Centred Design

We treat people as the measure of technological success, valuing capability over automation.

Inclusive Perspectives

We engage with contributors from around the world to maintain intellectual diversity and practical relevance.

Sustainability of Progress

We examine the long-term balance between innovation, environment, and societal stability.

Empowerment through Knowledge

We share frameworks that help organisations act with responsibility and foresight.

Our

Global Perspective

MKAI’s network spans more than 100 countries, connecting researchers, policymakers, and practitioners whose insights reflect how AI is transforming governance and capability across diverse contexts.

These grounded perspectives keep our analysis connected to reality and our work aligned with the systems that hold societies together.