First Principles for the Future of Policing
Reimagining policing structures, technology adoption, and accountability frameworks for the digital age whilst maintaining public trust and consent.
Session 1
The Hierarchy Problem
Police hierarchies are excessively layered, with decision-making authority concentrated at senior levels.
Frontline officers possess legal powers but lack operational autonomy to use them effectively.
Middle management often exists for historical reasons rather than operational necessity, creating approval bottlenecks that distance leadership from operational realities.
Intelligence Misalignment
The Gap
Mismatch between intelligence and frontline operational needs.
Timing Issues
Intelligence arrives too late or lacks relevance to immediate situations.
Information Loss across hierarchical layers
Critical local knowledge remains uncaptured in formal systems; information controlled as power rather than shared as resource. Two-way information is required: top to bottom and vice-versa.
Technology as Enabler
Replace Inspection Layers
Technology flattens hierarchical structures by removing unnecessary supervisory bottlenecks.
Real-time Decision Support
Officers receive timely, relevant intelligence to make informed decisions without replacing human judgement.
Dynamic Team Assembly
Enable flexible, skills-based resource allocation responsive to mission requirements.
AI and technology should flatten structures by replacing inspection layers and enabling officers to make informed decisions in real-time.
Key Capabilities
  • Real-time decision support without replacing human judgement
  • Dynamic resource allocation based on skills and availability
  • Digital twin ensuring legal and ethical boundaries
  • Standardised quality across all officers
Barriers to Change
A local response to a global problem
Information Silos
Officers resist sharing knowledge, creating internal competition and dysfunction.
Fear of Accountability
Resistance to technologies that make performance measurable and controllable.
Risk-Averse Bureaucracy
Focus on avoiding scandals rather than mission effectiveness.
Resistance to Standards
Claims that policing is inherently unstandardisable prevent measurement.
Training and Career Pathways
Current Problems
  • Focus on routine promotion across ranks over attaining expertise
  • Initial training provided is limited in some areas
  • Specialists forced to abandon expertise to advance in rank
  • Aggressive private sector recruitment depleting talent
  • Officers lack empowerment to use specialised training
Required Reforms
  • Clear career pathways for specialists
  • Continuous professional development support
  • Offering leadership training at an earlier stage in the career path for everyone that is appropriate, based on assessment
  • Distinguishing operational leadership from organisational leadership
  • Potential for new career path model
Leadership, Management and Command
The Fundamental Confusion
Command is changing because supervision is changing.
Current systems inappropriately mix leadership and administration. Officers need leaders for human aspects, but most supervisory time is spent on administrative tasks.
Distinguish between operational policing career paths and organisational leadership tracks.
Question whether sworn officers must become organisational leaders or if professional management expertise is more valuable.
Learning: Knowledge and Innovation ecosystems
01
Partnerships
Conduct experimentation with academic, private and public sector partners for transparent evaluation.
02
Prepare for variation in success
New accountability frameworks needed that accept acknowledge possibility of failure
03
Sharing lessons from successes and failures
Mechanisms to learn from and scale successful approaches across departments.
04
Rethink and streamline procurement
Navigate commercial processes flexibly and agilely to enable innovation. Be more adaptive to making change.
Poor implementation examples create negative headlines limiting technology adoption. Experimentation is essential for growth but currently lacks proper processes.
Session 2
Technology Adoption
Policing as intelligent customers of technology
Enabler Not Replacement
Technology supports human decision-making rather than replacing it.
Ensure Transparency
Critical importance of explainability in AI systems for public trust.
Improve decision-making
AI can support impartiality when properly implemented.
Data Sharing
Public-safety Platform based approach can complement innovation
1
Ownership
Police must retain ownership and control of sensitive data, but do not have in-house skills to develop and maintain new systems.
2
Interoperability
Legacy systems create major integration challenges. Ensure interoperability across organisations.
3
Global phenomena
Crime is increasingly borderless so data needs to navigate borders at the speed of crime, while acknowledging sovereignty.
4
Data Quality and Access
Based on legitimate business purpose. There is a need for addressing data resilience. Ensure data quality input and output.
We need data-centric approach to platforms instead of system-centric that often promotes vendor-lock in
Session 3
Policing by Consent in the Digital Age
Historical policing principles remain philosophically sound but require reinterpretation for digital contexts. The challenge is adapting their application to address data volume, algorithmic decision-making, and global connectivity.
Trust takes generations to build and moments to destroy. Transparency, explainability, and procedural justice are essential for maintaining legitimacy.
Modernised Principles Framework
Purpose
Prevent harm across physical and digital environments.
Fairness
Actively identify, test, and mitigate bias in all systems.
Co-Production
Develop methods with communities, including the vulnerable, practitioners, and researchers.
Accountability
Mechanisms to challenge wrongful decisions, especially AI-driven.
Measuring Success
Focus on harm reduction, trust, and narrowing inequalities.
Learning System
Continually evaluate and refine as technology evolves.
Global Design Principles for Modern Policing
Empower Frontline Officers
Invest in proper training, skills, technology, and tools. Trust officers with clear decision-making boundaries.
Use AI to Predict and Prevent
Move from reactive responses to predictive, preventative approaches that reduce harm.
Ethics by Design
Communicate openly to build community trust and transparency
Enable Ground-Level Knowledge
Allow local intelligence to inform decisions. Reduce administrative burden through automation.
Organise Around Problems
Dynamic team assembly based on skills and mission requirements, not just geography.
Partner for Innovation
Public, private, and academic partnerships with structured experimentation that accepts failure.
User Requirements
User requirements as part of the architecture principles
International Standardisation Body
We need an international body that can standardise our approach