summit

AI IN POLICING - Commissioner E. T. Phillip

AI FOR NATIONAL TRANSFORMATION CONFERENCE: ZIMBABWE 2.0 AND AI TECH FORUM SUMMIT

• TITTLE: AI IN POLICING
• Presenter: Commissioner E.T PhilIipChief Director ICT– ZRP
• Date: 16-18 JUNE 2026
• MASVINGO

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• AI AND FUTURE OF POLICING
• OPENING QUESTION
• What Will Policing Look Like in 2035?
• Consider a future where:
◦ Crime patterns are predicted before they occur.
◦ Officers receive real-time intelligence on mobile devices.
◦ Digital evidence is analyzed within minutes instead of months.

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AI AND FUTURE OF POLICNG Cont…

• Emergency response is optimized automatically.
• Criminal networks are detected through AI-driven analytics.
• Cyberattacks are identified and neutralized before damage occurs.
• This future is no longer science fiction.
• It is being shaped today by Artificial Intelligence.

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THE FOURTH INDUSTRIAL REVOLUTION AND POLICING

• Every industrial revolution transformed society and law enforcement.
• First Industrial Revolution
• Mechanization
• Second Industrial Revolution
• Electricity and mass production
• Third Industrial Revolution
• Computers and digital systems
• Fourth Industrial Revolution
• Artificial Intelligence, Big Data, Cloud Computing, Robotics, and the Internet of Things
• Policing is entering a new era where information superiority will become as important as manpower.

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• THE EVOLUTION OF POLICING
• Policing 1.0
• Reactive Policing
• Responding after crimes occur.
• Policing 2.0
• Community Policing
• Building partnerships with communities.
• Policing 3.0
• Intelligence-Led Policing
• Using information to guide operations.

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• THE EVOLUTION OF POLICING Cont…..
• Policing 4.0
• AI-Driven Policing
• Using predictive analytics, automation, and intelligent systems to enhance decision-making.
• The future police officer will be supported by digital intelligence systems.

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WHAT IS AI REALLY?

• AI is not merely automation.
• AI represents systems capable of:
◦ Learning from data
◦ Recognizing patterns
◦ Making recommendations
◦ Predicting outcomes
◦ Understanding language
◦ Generating new information
• The true value of AI lies in transforming data into actionable intelligence.

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• THE POLICE DATA EXPLOSION
• Every day police organizations generate:
• Crime reports
• Intelligence reports
• CCTV footage
• Body Worn camera recordings
• Telephone records
• GPS information

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• THE POLICE DATA EXPLOSION Cont…
• Social media data
• Cybersecurity logs
• The challenge is no longer collecting information.
• The challenge is extracting meaning from information.
• *AI solves this problem*.

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THE STRATEGIC VALUE OF AI

• AI creates three (03)critical advantages:
• Speed
• Processes information faster than humans.
• Scale
• Analyzes millions of records simultaneously.
• Insight
• Identifies patterns humans may never discover.
• These advantages can significantly improve operational effectiveness.

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AI IN CRIME PREVENTION

• *Traditional policing often reacts after incidents occur.
• AI enables proactive policing through:
◦ Crime trend analysis
◦ Hotspot identification
◦ Risk forecasting
◦ Resource optimization
• The objective is not prediction for prediction's sake.
• The objective is prevention.

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AI IN INTELLIGENCE OPERATIONS

• Modern intelligence units face information overload.
• AI can:
◦ Process thousands of intelligence reports
◦ Identify hidden connections
◦ Detect emerging threats
◦ Highlight unusual activities
◦ Prioritize intelligence leads
• This allows analysts to focus on judgment rather than data processing.

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AI AND INVESTIGATIONS

• Investigations increasingly involve digital evidence.
• *AI can assist by:
• Analyzing CCTV Footage
◦ Thousands of hours reviewed in minutes.
• Facial Recognition
◦ Rapid identification of persons of interest.
• Link Analysis
◦ Discovery of criminal networks.
• Digital Evidence Processing
◦ Rapid review of electronic devices.
◦ The result is faster and more accurate investigations.

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CYBERCRIME: THE NEW BATTLEFIELD

• Criminals are increasingly using technology.
• Threats include:
◦ Ransomware
◦ Financial fraud
◦ Identity theft
◦ Online scams
◦ Cryptocurrency-related crimes
• AI is becoming an essential weapon in combating cybercrime.
• Without AI capabilities, law enforcement risks falling behind sophisticated criminals.

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Other benefits of AI in policing

• AI represents a major shift and offer capabilities which include:
◦ • Drafting reports
◦ • Summarizing investigations
◦ • Generating intelligence briefs
◦ • Creating training content
◦ • Supporting policy development
• The question is not whether police organizations will use AI.
• The question is whether they will govern it effectively.

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THE DANGER OF AI HYPE

• Many organizations rush into AI adoption without strategy.
• Common mistakes include:
◦ Implementing technology before defining objectives.
◦ Investing in tools without skilled personnel.
◦ Ignoring governance and ethics.
◦ Underestimating cybersecurity risks.
• Technology alone does not create transformation.
• Leadership does.

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THE ETHICAL DILEMMA

• AI introduces difficult questions.
• Privacy
◦ How much surveillance is acceptable?
• Transparency
◦ Can AI decisions be explained?
• Accountability
◦ Who is responsible when AI makes mistakes?
• Bias
◦ Can algorithms reinforce existing inequalities?
• These are governance questions, not technical questions.

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HUMAN JUDGMENT REMAINS ESSENTIAL

• AI should support officers not replacing them.
• Human beings possess:
◦ Contextual understanding
◦ Moral judgment
◦ Empathy
◦ Discretion
◦ Accountability
• The most effective model is Humans + AI, not Humans versus AI.

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AI AND PUBLIC TRUST

• Public confidence is critical.
• Trust is built when AI systems are:
◦ Transparent
◦ Fair
◦ Accountable
◦ Secure
◦ Legally compliant
• The success of AI in policing will depend as much on public trust as well as on technological capability.

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ORGANIZATIONAL READINESS

• Before implementing and adopting AI, organizations must assess:
• Data Readiness
◦ Is data accurate and accessible?
• Skills Readiness
◦ Do personnel understand AI?
• Infrastructure Readiness
◦ Can existing systems support AI?
• Governance Readiness
◦ Are policies and oversight mechanisms in place?
• *Without readiness, AI projects often fail.

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BUILDING AI READINESS

• The organization should invest in:
• People
• • AI training• Data science skills• Cybersecurity expertise
• Processes
• • Governance frameworks• Data management• Change management
• Technology
• • Modern ICT infrastructure• Cloud technologies• Secure data platforms

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THE ROLE OF ICT MANAGERS AND DIRECTORS

• ICT leaders are no longer technology managers alone.
• They are transformation leaders.
• Key responsibilities include:
◦ AI strategy development
◦ Technology governance
◦ Cybersecurity oversight
◦ Capacity building
◦ Innovation management
• ICT departments will be central to future policing capabilities

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CONCLUSION

• Artificial Intelligence is not simply another technology.
• It is a transformational capability that will redefine how police organizations prevent crime, conduct investigations, manage information, allocate resources, and serve communities.
• The greatest challenge is not technological.
• It is preparing our people, policies, leadership, and institutions for an AI-enabled future.
• The future of policing will belong to organizations that combine human judgment, ethical leadership, and intelligent technology.

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CONCLUSION Cont..

• Successful AI adoption is a journey, not a single project
• Organizations that fail to adapt risk operational irrelevance.
• Organizations that adapt responsibly will gain significant strategic advantages offered by AI

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• Thank You
• Contact: 0719 019 129
• Commissioner E.T. Phillip
• Chief Director ICT– ZRP

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