AI Applications in Government and Public Policy Training Course

Module 1: Foundations of AI in the Public Sector

• The transition from E-Government to AI-Enabled Government (AIG)
• Identifying high-impact AI use cases across different government tiers
• Overview of the AI stack for public administration: Cloud, Data, and Algorithms
• Understanding the role of Open Data initiatives in fueling public sector AI
• Challenges of public sector adoption: Legacy systems, procurement, and talent gaps
• Practical session: Conducting an AI Readiness Assessment for a specific government department

Module 2: AI for Evidence-Based Policymaking and Analysis

• Using Machine Learning to identify patterns in vast social and economic datasets
• Sentiment analysis: Mining social media and public consultations for policy feedback
• Simulation and Digital Twins: Testing policy impacts in a virtual environment before rollout
• Real-time monitoring: Using AI to track the effectiveness of legislative changes
• Natural Language Processing (NLP) for automated legislative and legal research
• Practical session: Using a policy simulation tool to predict the outcome of a proposed economic intervention

Module 3: Enhancing Citizen Services with NLP and Chatbots

• Designing 24/7 automated government portals for permit applications and inquiries
• Multilingual service delivery: Using AI to bridge language gaps in diverse populations
• Personalized citizen journeys: Tailoring government communications to individual needs
• Accessibility: Using AI-driven voice and text tools for citizens with disabilities
• Streamlining the "One-Stop-Shop" model through intelligent back-end routing
• Practical session: Building a prototype AI chatbot flow for a specific public service (e.g., business licensing)

Module 4: Predictive Analytics for Public Health and Social Safety Nets

• Early warning systems: Using AI to predict disease outbreaks and health crises
• Optimizing social service distribution: Identifying vulnerable populations before they fall into crisis
• Resource allocation in healthcare: Predicting hospital bed demand and equipment needs
• Analyzing the social determinants of health through multi-source data integration
• AI in precision medicine and public health campaigns: Tailoring messages for maximum impact
• Practical session: Developing a predictive model to identify high-risk areas for specific social interventions

Module 5: Smart Cities and Intelligent Infrastructure Management

• Intelligent Traffic Management Systems (ITMS): Using AI to reduce congestion and emissions
• Predictive maintenance for public infrastructure: Roads, bridges, and power grids
• AI-driven waste management: Optimizing collection routes and recycling sorting
• Energy efficiency: Using AI to manage smart grids and public lighting
• Urban planning: Using computer vision and GIS data to model future city growth
• Practical session: Designing an AI-driven response plan for a simulated urban infrastructure failure

Module 6: AI in Public Finance, Taxation, and Fraud Detection

• Detecting anomalies in public spending: Identifying corruption and procurement fraud
• AI-powered tax administration: Predicting tax evasion and optimizing audits
• Automated budgeting: Using predictive models to forecast revenue and expenditure
• Macroeconomic forecasting: Using AI to supplement traditional fiscal modeling
• Enhancing transparency: Using AI to track the flow of public funds in real-time
• Practical session: Using anomaly detection algorithms to identify suspicious transactions in a sample public budget

Module 7: Algorithmic Governance and Automated Decision-Making

• The mechanics of automated eligibility: How AI decides on benefits and grants
• Identifying and mitigating algorithmic bias in public sector models
• The "Right to Explanation": Ensuring transparency in AI-driven administrative acts
• Designing human-in-the-loop systems for high-stakes government decisions
• Auditing AI: Developing frameworks for third-party verification of government algorithms
• Practical session: Performing a "Bias Audit" on a simulated benefits-allocation algorithm

Module 8: National Security, Ethics, and AI in Law Enforcement

• Computer vision for public safety: Ethical deployment of facial recognition
• Predictive policing: Understanding the risks and rewards of crime-trend forecasting
• AI in emergency response: Optimizing dispatch and disaster management
• Cybersecurity for the state: Using AI to defend critical national infrastructure
• Balancing national security needs with individual civil liberties and privacy
• Practical session: Drafting an Ethical Usage Policy for AI in public safety and surveillance

Module 9: Data Privacy, Sovereign Clouds, and Cybersecurity

• Navigating data protection laws: GDPR, CCPA, and regional equivalents
• Sovereign Data: Strategies for maintaining national control over sensitive datasets
• Anonymization and synthetic data: Protecting citizen privacy during AI training
• Defending AI systems from adversarial attacks and data poisoning
• Developing a secure data governance framework for multi-agency collaboration
• Practical session: Designing a secure data-sharing protocol for a cross-departmental AI project

Module 10: Building an AI Roadmap for Government Institutions

• Strategy development: Aligning AI goals with national development plans
• Creating an AI center of excellence: Centralizing expertise vs. departmental autonomy
• Talent and culture: Reskilling the public workforce for an AI-enabled future
• Ethical procurement: How to buy AI from the private sector responsibly
• Monitoring and Evaluation (M&E): Measuring the social ROI of AI initiatives
• Practical session: Drafting a 3-year AI Implementation Roadmap for a government entity

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588