AI+ Policy Maker Practitioner™ eLearning Voeg toe aan favorieten

• AI-Driven Policy Design: Leverage AI to transform policy creation and improve decision-making efficiency
• Ethical Policy Making: Ensure fairness and transparency while integrating AI in responsible policy frameworks
• Impact-Centric Frameworks: Create AI-powered policies that drive measurable outcomes and enhance governance efficiency

Doelgroep
Public Administrators: Enhance your skills in using AI tools to streamline policy implementation, optimize public sector operations, and drive impactful results.

Business Analysts: Equip yourself with the skills to leverage AI for policy analysis, predict outcomes, and inform strategic decisions across sectors.

Students & New Graduates: Gain a competitive advantage by mastering AI tools for policy development and digital governance in a rapidly evolving landscape.

Industry Professionals: Strengthen your expertise in AI-driven policy-making and position yourself to lead innovative projects within your industry.

Government Officials & Policy Makers: Gain the skills to incorporate AI into policy development, improve data-driven decision-making, and optimize governance.

Doelstelling

• Navigating AI-Enabled Global Collaboration:Gain the skills to shape global AI policies, driving innovation and ensuring secure, ethical cross-border data flows.
• AI in Sustainability and Climate Action:Learn to integrate AI into sustainability policies, positioning yourself as a leader in smart environmental management.
• AI-Powered Economic Strategies:Develop AI-driven economic policies to boost growth and innovation, enhancing your career as a leader in global competitiveness.
• Cybersecurity and AI Risk Management:Master AI security and risk management to ensure system resilience, building trust in AI initiatives.
• Ethical AI for Future Societies:Lead the creation of ethical AI guidelines, ensuring responsible development and prioritizing societal well-being in your policies.

Programma
Module 1: Introduction to Artificial Intelligence

• 1.1 Understanding AI: Definitions and Concepts
• 1.2 Historical Development of AI
• 1.3 Current AI Technologies and Applications
• 1.4 AI Trends and Future Directions
• 1.5 AI Terminology and Jargon for Policy Makers

Module 2: AI in Governance and Public Policy

• 2.1 Role of AI in Government and Public Services
• 2.2 Case Studies of AI in Public Administration
• 2.3 AI for Regulatory Compliance and Enforcement
• 2.4 Challenges of AI Adoption in Government
• 2.5 Policy Considerations for AI Implementation

Module 3: Ethical, Social, and Human Rights Implications of AI

• 3.1 Principles of AI Ethics
• 3.2 Bias, Fairness, and Discrimination in AI Systems
• 3.3 Privacy and Data Protection
• 3.4 Socio-Economic Impacts of AI
• 3.5 AI and Human Rights

Module 4: Legal and Regulatory Frameworks for AI

• 4.1 Overview of AI Regulations Globally
• 4.2 Data Governance and Privacy Laws
• 4.3 Intellectual Property Rights in AI
• 4.4 Liability and Accountability in AI Systems
• 4.5 Developing AI Policies and Legislation

Module 5: AI Risk Management and Security

• 5.1 AI Safety and Security Challenges
• 5.2 Risk Assessment and Management Strategies
• 5.3 Cybersecurity and AI
• 5.4 Ensuring Reliability and Resilience
• 5.5 Incident Response and Crisis Management

Module 6: Economic Impacts of AI

• 6.1 AI and the Future of Work
• 6.2 AI’s Role in Economic Growth
• 6.3 Supporting AI Innovation and Entrepreneurship
• 6.4 AI in Developing Economies
• 6.5 Addressing Economic Inequalities

Module 7: AI Strategy, Implementation, and Collaboration

• 7.1 Developing National AI Strategies
• 7.2 Building AI Capabilities in the Public Sector
• 7.3 Public-Private Partnerships in AI
• 7.4 Funding and Investment in AI
• 7.5 Monitoring, Evaluation, and Continuous Improvement

Module 8: Shaping the Future of AI Policy

• 8.1 Emerging AI Technologies and Trends
• 8.2 International Cooperation on AI Governance
• 8.3 AI and the Sustainable Development Goals (SDGs)
• 8.4 Public Engagement and Transparency
• 8.5 The Future of AI Policy Making

Optional Module: AI Agents for Policy Maker

• 1. Understanding AI Agents
• 2. Case Study
• 3. Hands-On Activity

Tools you will explore

• TensorFlow
• SHAP (SHapley Additive exPlanations)
• Amazon S3
• AWS SageMaker

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Studiewijze
De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.