AI Policy Portfolio Strategy for The Black Policy Institute

Overview

Following The Black Policy Institute’s AI and misinformation research in Kenya and Nigeria, I was engaged to design and implement the next phase of institutional growth in the UK.

The objective was to strengthen TBPI’s authority in AI policy while ensuring continued alignment with Black communities affected by emerging technologies.

The result was a two-initiative portfolio model that integrated policy monitoring with lived-experience data, expanding institutional influence while reinforcing community trust.

TBPI needed to:

  • Establish a durable presence in UK AI policy discussions

  • Differentiate in a crowded policy landscape

  • Maintain community-centered credibility

  • Operate within existing organizational capacity

The solution required both institutional positioning and practical implementation.

Strategic Challenge

Structural Solution

1: UK AI Policy Impact Tracker

A structured monitoring system analyzing UK government AI policy developments through a racial equity lens.

This initiative created:

  • Recurring policy analysis outputs

  • Media and policymaker engagement opportunities

  • Longitudinal tracking of equity implications in AI governance

The tracker positioned TBPI as a consistent analytic voice in AI policy discourse.

I designed and implemented a complementary two-part strategy.


2: Community AI Impact Survey

A survey collecting lived experiences related to AI across four pillars: Economic, Education, Environment, and Justice.

This initiative:

  • Integrated grassroots insight into policy analysis

  • Generated proprietary data for advocacy and research

  • Strengthened TBPI’s legitimacy as both analytic and community-grounded

Strategic Architecture

The two initiatives reinforced one another:

  • Policy tracking identified issues requiring community input.

  • Community data strengthened policy recommendations.

  • Combined outputs created a differentiated institutional voice in AI governance.

This portfolio approach allowed TBPI to expand influence without overextending resources.

Resource-Conscious Implementation

Rather than requiring major new investment, the strategy leveraged existing strengths:

  • Research expertise in AI policy

  • Established community networks

  • Media relationships for policy dissemination

Phased implementation enabled testing, refinement, and scalable growth.


Institutional Impact

The implemented model:

  • Expanded TBPI’s visibility in UK AI policy conversations

  • Created recurring institutional outputs

  • Strengthened alignment between research and community engagement

  • Built internal capacity for ongoing policy monitoring

The strategy established a repeatable framework for future issue-based expansion.

Strategic Approach

Portfolio-based institutional design

  1. Community-centered policy integration

  2. Equity-focused AI analysis

  3. Resource-conscious implementation

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