AI for Strategic Leadership equips current and aspiring leaders with the knowledge and frameworks needed to design, evaluate, and implement AI-enabled policies in complex organizational and public-sector environments. The course explores how artificial intelligence is reshaping governance, economic strategy, risk management, and cross-border collaboration, helping leaders move from AI awareness to informed decision-making.
AI Policy Essentials
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
Recommended experience
Beginner level
Public administrators, policy makers, business analysts, industry professionals, or graduates interested in AI-driven governance and strategy.
7 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
Recommended experience
Beginner level
Public administrators, policy makers, business analysts, industry professionals, or graduates interested in AI-driven governance and strategy.
7 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
AI for Policy Design: Apply AI concepts and data-driven methods to design, evaluate, and refine effective public and organizational policies.
AI Risk & Governance: Assess AI risks, regulatory challenges, and security concerns to build resilient, compliant, and trustworthy policies.
Ethical & Responsible AI: Understand fairness, transparency, privacy, and accountability principles when integrating AI into policy frameworks.
Strategic AI Leadership: Use AI insights to support long-term strategy, cross-sector collaboration, and evidence-based decision-making.
Skills you'll gain
- Economics, Policy, and Social Studies
- Regulatory Requirements
- Data Strategy
- Generative AI Agents
- Accountability
- Governance
- Artificial Intelligence
- Governance Risk Management and Compliance
- Artificial Intelligence and Machine Learning (AI/ML)
- Policy Analysis
- Policy Development
- Generative AI
- Data Governance
- Public Policies
- Market Dynamics
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
8 assignments
Taught in English
Recently updated!
January 2026
See how employees at top companies are mastering in-demand skills
There are 8 modules in this course
This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.
What's included
32 videos3 readings1 assignment7 plugins
32 videos• Total 383 minutes
- Audiobook: Course Introduction• 6 minutes
- Course Introduction• 4 minutes
- Audiobook: Module 1 - Introduction to Artificial Intelligence • 174 minutes
- Podcast : Module 1 - Introduction to Artificial Intelligence• 106 minutes
- 1.1 Definitions and Concepts• 5 minutes
- 1.2 Fundamental Concepts of AI: Basic Principles of Artificial Intelligence• 5 minutes
- 1.3 Types of AI: Differentiate between Narrow AI, General AI, and Super Intelligent AI• 3 minutes
- 1.4 AI vs. Human Intelligence: Compare and contrast artificial intelligence with human cognitive abilities.• 3 minutes
- 1.5 AI Terminology: Familiarize with common AI terms and jargon essential for policy discussions.• 3 minutes
- 1.6 The AI Ecosystem: Understand the stakeholders involved in AI development and deployment.• 4 minutes
- 1.7 Early Beginnings: Origins of AI from early computing to the Dartmouth Conference• 4 minutes
- 1.8 AI Winters and Summers: The periods of reduced funding and interest, and subsequent resurgences in AI research.• 3 minutes
- 1.9 Milestones in AI: Significant breakthroughs such as IBM's Deep Blue, Google's AlphaGo, and OpenAI's GPT models.• 2 minutes
- 1.10 Evolution of AI Technologies: Technological advancements that have propelled AI forward.• 3 minutes
- 1.11 Key Contributors: Influential figures in AI history and their contributions.• 3 minutes
- 1.12 Current AI Technologies and Applications• 4 minutes
- 1.13 Machine Learning Algorithms: Supervised, Unsupervised, and Reinforcement Learning• 4 minutes
- 1.14 Reinforcement Learning: Learning through Interaction and Feedback• 5 minutes
- 1.15 Natural Language Processing (NLP): How AI understands and generates human language• 2 minutes
- 1.16 Computer Vision: How AI interprets visual information from the world• 4 minutes
- 1.17 Robotics and Automation: AI's role in physical automation and robotics• 3 minutes
- 1.18 Case Studies: Real-world applications of AI• 6 minutes
- 1.19 Emerging AI Technologies: Advancements in edge AI, federated learning, and quantum computing• 3 minutes
- 1.20 AI and Big Data: Relationship between AI and the proliferation of data• 3 minutes
- 1.21 AI Democratization: How AI tools are becoming more accessible to non-experts• 2 minutes
- 1.22 Future Predictions: Expert forecasts on AI's trajectory and potential impact• 2 minutes
- 1.23 Technological Singularity: Concept of AI surpassing human intelligence• 4 minutes
- 1.24 AI Terminology and Jargon for Policy Makers• 3 minutes
- 1.25 Understanding Technical Language: Tips for interpreting technical documents and reports.• 2 minutes
- 1.26 Communicating with Experts: Strategies for effective dialogue with AI professionals• 2 minutes
- 1.27 Policy Implications of Terminology: How specific terms influence policy decisions• 3 minutes
- 1.28 Translating AI Concepts for Stakeholders: Convey complex ideas to non-technical audiences• 3 minutes
3 readings• Total 30 minutes
- Hands On 1• 10 minutes
- Hands On 2• 10 minutes
- Hands On 3• 10 minutes
1 assignment• Total 30 minutes
- Quiz 1• 30 minutes
7 plugins• Total 105 minutes
- Ebook: Module 01: Introduction to Artificial Intelligence• 15 minutes
- Activity: Accordian• 15 minutes
- Activity: Timeline• 15 minutes
- Activity: Sequence• 15 minutes
- Activity: Drag and drop• 15 minutes
- Activity: True/false• 15 minutes
- Graded Assessment• 15 minutes
What's included
27 videos1 reading1 assignment7 plugins
27 videos• Total 296 minutes
- Audiobook: Module 2 - AI in Governance and Public Policy• 129 minutes
- Podcast 2 - AI in Governance and Public Policy • 96 minutes
- 2.1 Enhancing Service Delivery: How AI can improve efficiency and responsiveness in public services• 5 minutes
- 2.2 Policy Analysis and Decision-Making: AI's role in data-driven policy formulation• 3 minutes
- 2.3 Smart Cities: AI applications in urban planning and management• 4 minutes
- 2.4 Citizen Engagement: AI tools for improving public participation and feedback• 3 minutes
- 2.5 Digital Government Transformation: Impact of AI on e-governance initiatives• 3 minutes
- 2.6 Healthcare: AI's role in predictive diagnostics and personalized medicine• 5 minutes
- 2.7 Education: AI-driven personalized learning and administrative efficiency• 4 minutes
- 2.8 Law Enforcement: Use of AI in surveillance, predictive policing, and legal analytics• 4 minutes
- 2.9 Transportation: AI in traffic management and autonomous vehicles• 4 minutes
- 2.10 Environmental Management: AI applications in monitoring and combating climate change• 5 minutes
- 2.11 Automated Compliance Monitoring: How AI can ensure adherence to regulations• 3 minutes
- 2.12 Fraud Detection: AI techniques for identifying fraudulent activities• 3 minutes
- 2.13 RegTech Innovations: Technology that assists in regulatory processes• 1 minute
- 2.14 Challenges in Enforcement: Limitations and Ethical concerns in AI-driven enforcement.• 3 minutes
- 2.15 Balancing Efficiency and Rights: How AI applications respect individual rights and liberties• 2 minutes
- 2.16 Technical Infrastructure Needs: Requirements for implementing AI solutions• 2 minutes
- 2.17 Data Quality and Availability: Importance of data governance• 2 minutes
- 2.18 Workforce Readiness: Skill gaps among public sector employees• 2 minutes
- 2.19 Budget Constraints: Financial implications of AI projects• 2 minutes
- 2.20 Resistance to Change: Strategies to manage organizational culture shifts• 2 minutes
- 2.21 Strategic Planning: Policies that guide AI adoption aligned with public interest• 2 minutes
- 2.22 Ethical Frameworks: Ethical considerations into policy development• 2 minutes
- 2.23 Stakeholder Engagement: Involvement of citizens, industry, and academia in policy formulation• 2 minutes
- 2.24 Regulatory Sandboxes: Controlled environments for testing AI innovations• 2 minutes
- 2.25 Measuring Impact: Metrics to assess the effectiveness of AI policies• 2 minutes
1 reading• Total 10 minutes
- Hands On• 10 minutes
1 assignment• Total 30 minutes
- Quiz 2• 30 minutes
7 plugins• Total 105 minutes
- eBook: Module 02: AI in Governance and Public Policy• 15 minutes
- Activity: Tab• 15 minutes
- Activity: Case study• 15 minutes
- Activity: Hotspot• 15 minutes
- Activity: Problem Statement• 15 minutes
- Activity: Tab• 15 minutes
- Graded Assessment• 15 minutes
What's included
30 videos1 reading1 assignment7 plugins
30 videos• Total 252 minutes
- Audiobook: Module 3 - Ethical, Social, and Human Rights Implications of AI• 131 minutes
- Podcast 3 - Ethical, Social, and Human Rights Implications of AI• 45 minutes
- 3.1 Principles of AI Ethics• 5 minutes
- 3.2 Transparency and Explainability: Advocate for AI systems that are understandable• 3 minutes
- 3.3 Fairness and Non-Discrimination: Ensure AI does not perpetuate biases• 4 minutes
- 3.4 Accountability: Responsibility for AI outcomes• 2 minutes
- 3.5 Beneficence and Non-Maleficence: Benefits of AI to society without causing harm• 2 minutes
- 3.6 Ethical Guidelines and Standards: Review of frameworks like the OECD AI Principles• 4 minutes
- 3.7 Bias, Fairness, and Discrimination in AI Systems• 3 minutes
- 3.8 Sources of Bias: Identify how data and algorithms can introduce bias• 4 minutes
- 3.9 Impact on Marginalized Groups: Societal implications of biased AI• 3 minutes
- 3.10 Mitigation Strategies: Techniques to reduce bias in AI systems• 4 minutes
- 3.11 Legal Considerations: Anti-discrimination laws relevant to AI• 3 minutes
- 3.12 Case Study• 3 minutes
- 3.13 Data Privacy Principles: Concepts of consent, purpose limitation, and data minimization• 3 minutes
- 3.14 Surveillance Concerns: Issues related to AI in monitoring and tracking• 3 minutes
- 3.15 Anonymization and De-identification: Methods to protect personal data• 2 minutes
- 3.16 Regulatory Frameworks: Laws and impact on AI• 3 minutes
- 3.17 Balancing Innovation and Privacy: Ways to innovate while respecting privacy rights• 2 minutes
- 3.18 Socio-economic Impacts of AI• 3 minutes
- 3.19 Job Displacement Risks: Assess the potential for AI to automate jobs• 3 minutes
- 3.20 New Employment Opportunities: Emerging roles created by AI advancements• 3 minutes
- 3.21 Income Inequality: How AI may widen or reduce economic disparities• 2 minutes
- 3.22 Access to AI Technologies and Social Inclusion Policies• 5 minutes
- 3.23 AI and Human Rights• 2 minutes
- 3.24 Right to Privacy: Safeguard personal data in AI applications• 2 minutes
- 3.25 Freedom of Expression: Understand AI's role in content moderation and censorship• 1 minute
- 3.26 Right to Fair Trial: AI in legal systems and potential biases• 2 minutes
- 3.27 Digital Rights: Advocate for rights in the digital realm, including data ownership• 2 minutes
- 3.28 International Human Rights Law: AI policies with global human rights standards• 3 minutes
1 reading• Total 10 minutes
- Hands on• 10 minutes
1 assignment• Total 30 minutes
- Quiz 3• 30 minutes
7 plugins• Total 105 minutes
- eBook: Module 03: Ethical, Social, and Human Rights Implications of AI• 15 minutes
- Activity: Sequence• 15 minutes
- Activity: Drag and drop• 15 minutes
- Activity: Hotspot• 15 minutes
- Activity: Tab• 15 minutes
- Activity: True/false• 15 minutes
- Graded Assessment• 15 minutes
What's included
31 videos1 reading1 assignment7 plugins
31 videos• Total 356 minutes
- Audiobook: Module 4 - Legal and Regulatory Frameworks for AI• 156 minutes
- Podcast 4 - Legal and Regulatory Frameworks for AI• 90 minutes
- 4.1 Overview of AI Regulations Globally• 5 minutes
- 4.2 Comparative Analysis: AI regulations in the EU, US, China, and other regions• 4 minutes
- 4.3 International Organizations: Role of entities like UNESCO and OECD in AI governance• 2 minutes
- 4.4 Regulatory Trends: Emerging patterns in AI legislation• 4 minutes
- 4.5 Best Practices: Learn from countries leading in AI policy implementation• 4 minutes
- 4.6 Challenges in Harmonization: Difficulties in creating unified global standards• 5 minutes
- 4.7 Data Governance and Privacy Laws• 3 minutes
- 4.8 Data Protection Regulations: GDPR and CCPA Laws• 4 minutes
- 4.9 Consent Mechanisms: Lawful processing of personal data• 4 minutes
- 4.10 Data Sovereignty: Issues of Data Localization• 4 minutes
- 4.11 Cross-border Data Flows: Agreements facilitating International data transfer• 3 minutes
- 4.12 Enforcement and Compliance: Penalties and Enforcement mechanisms• 4 minutes
- 4.13 Intellectual Property Rights in AI• 4 minutes
- 4.14 Ownership of AI-generated Works• 3 minutes
- 4.15 Patenting AI Technologies: Patentability of AI algorithms and systems• 3 minutes
- 4.16 Licensing and Open-Source AI: Impact of open-source models on innovation• 4 minutes
- 4.17 Trade Secrets and Confidentiality: Protecting proprietary AI technologies• 4 minutes
- 4.18 Legal Disputes: Review landmark cases involving AI and IP rights• 4 minutes
- 4.19 Liability and Accountability in AI Systems• 3 minutes
- 4.20 Product Liability Laws: Applying existing laws to AI products and services• 3 minutes
- 4.21 Determining Responsibility: Accountability among developers, users, and others• 5 minutes
- 4.22 Regulatory Approaches: Strict liability vs. Negligence standards• 5 minutes
- 4.23 Insurance for AI Risks: Insurance solutions for AI-related liabilities• 4 minutes
- 4.24 Precedent Cases: Analyse legal cases involving AI mishaps• 4 minutes
- 4.25 Policy Development Process: Steps from Issue identification to Enactment• 3 minutes
- 4.26 Stakeholder Consultation: Engaging various groups during policy formulation• 4 minutes
- 4.27 Impact Assessments: Conduct evaluations to predict policy outcomes• 6 minutes
- 4.28 Drafting Legislation: Components of effective AI laws• 5 minutes
- 4.29 Implementation and Enforcement: Practical enforcement of new regulations• 4 minutes
1 reading• Total 10 minutes
- Hands On• 10 minutes
1 assignment• Total 30 minutes
- Quiz 4• 30 minutes
7 plugins• Total 105 minutes
- eBook: Module 04: Legal and Regulatory Frameworks for AI• 15 minutes
- Activity: Tab• 15 minutes
- Activity: Hotspot• 15 minutes
- Activity: Drag and drop• 15 minutes
- Activity: Scenario• 15 minutes
- Activity: Carousel• 15 minutes
- Graded Assessment• 15 minutes
What's included
31 videos1 reading1 assignment7 plugins
31 videos• Total 399 minutes
- Audiobook: Module 5 - AI Risk Management and Security• 196 minutes
- Podcast 5 - AI Risk Management and Security• 103 minutes
- 5.1 AI Safety and Security Challenges• 3 minutes
- 5.2 Adversarial Attacks: How AI systems can be manipulated?• 3 minutes
- 5.3 Robustness of AI Models: Ensuring reliability of AI performance under varied conditions• 3 minutes
- 5.4 Ethical Hacking: White-Hat techniques to test AI security.• 4 minutes
- 5.5 Safety in Autonomous Systems: Addressing risks in self-driving cars and drones• 3 minutes
- 5.6 Standards and Guidelines: Review of NIST and ISO standards for AI security• 5 minutes
- 5.7 Identifying Risks: Frameworks to pinpoint potential AI-related risks• 2 minutes
- 5.8 Quantifying Risks• 1 minute
- 5.9 Risk Mitigation Plans: Strategies to reduce or eliminate risks• 3 minutes
- 5.10 Continuous Monitoring: Systems to monitor AI performance over time• 2 minutes
- 5.11 Compliance and Auditing: Ensuring Adherence to risk management policies• 3 minutes
- 5.12 Cybersecurity and AI• 3 minutes
- 5.13 AI for Cyber Defense: AI techniques to detect and prevent cyber threats• 3 minutes
- 5.14 Cyber Threats to AI Systems: Protecting AI from hacking and data breaches.• 4 minutes
- 5.15 Secure AI Development Practices: Incorporating security from the ground up• 3 minutes
- 5.16 Incident Response Planning: Preparedness for potential cybersecurity incidents.• 3 minutes
- 5.17 Regulatory Requirements: Laws related to cybersecurity in AI• 4 minutes
- 5.18 Ensuring Reliability and Resilience• 4 minutes
- 5.19 System Redundancies: How AI systems with backups to prevent failures?• 2 minutes
- 5.20 Fault Tolerance: Ensuring AI can handle errors without catastrophic outcomes.• 2 minutes
- 5.21 Stress Testing: Process of testing AI under extreme conditions to assess resilience• 4 minutes
- 5.22 Maintenance and Updates: Process of Keeping AI systems current to avoid vulnerabilities• 4 minutes
- 5.23 Disaster Recovery Plans: Process of Preparing for rapid recovery after a system failure• 4 minutes
- 5.24 Incident Response and Crisis Management• 4 minutes
- 5.25 Developing Response Protocols: Clear procedures for AI incidents• 5 minutes
- 5.26 Communication Strategies: Managing internal and public communication during crises.• 5 minutes
- 5.27 Legal Obligations: Fulfilling reporting requirements to authorities.• 4 minutes
- 5.28 Post-Incident Analysis: Learn from incidents to prevent future occurrences.• 5 minutes
- 5.29 Stakeholder Coordination: Work with partners and regulators during a crisis.• 4 minutes
1 reading• Total 10 minutes
- Hands On• 10 minutes
1 assignment• Total 30 minutes
- Quiz 5• 30 minutes
7 plugins• Total 105 minutes
- eBook: Module 05: AI Risk Management and Security• 15 minutes
- Activity: Tab• 15 minutes
- Activity: Drag and drop• 15 minutes
- Activity: Sequence• 15 minutes
- Activity: Problem statement• 15 minutes
- Activity: Scenario• 15 minutes
- Graded Assessment• 15 minutes
What's included
29 videos1 reading1 assignment7 plugins
29 videos• Total 450 minutes
- Audiobook: Module 6 - Economic Impacts of AI• 209 minutes
- Podcast 6 - Economic Impacts of AI• 115 minutes
- 6.1 AI and the Future of Work• 4 minutes
- 6.2 Automation Potential: Assessment of jobs susceptibility to AI automation• 4 minutes
- 6.3 Reskilling and Upskilling: Programs to retrain the workforce• 5 minutes
- 6.4 New Job Creation: New roles emerging from AI advancements• 4 minutes
- 6.5 Labour Market Policies: Policies to support displaced workers• 6 minutes
- 6.6 Social Safety Nets: Strengthen systems like unemployment benefits and UBI• 4 minutes
- 6.7 AI's Role in Economic Growth Productivity Enhancement: AI's impact on efficiency and output.• 5 minutes
- 6.8 Industry Transformation: How AI disrupts traditional business models• 5 minutes
- 6.9 Innovation Acceleration: AI as a driver of technological innovation• 5 minutes
- 6.10 Global Competitiveness: Position economies to lead in the AI landscape.• 8 minutes
- 6.11 Economic Forecasting: AI assistance in improving economic predictions and planning• 4 minutes
- 6.12 Supporting AI Innovation and Entrepreneurship• 4 minutes
- 6.13 Research and Development Incentives: Grants and Tax incentives for AI R&D• 4 minutes
- 6.14 Start-up Ecosystems: Fostering environments conducive to AI start up growth• 7 minutes
- 6.15 Intellectual Property Support: Helping innovators protect their AI inventions.• 3 minutes
- 6.16 Access to Capital: Improve funding avenues for AI entrepreneurs.• 7 minutes
- 6.17 Incubators and Accelerators: Establish programs to nurture AI businesses• 3 minutes
- 6.18 Bridging the Digital Divide: Infrastructure gaps hindering AI adoption.• 5 minutes
- 6.19 Capacity Building: Invest in education and training for AI skills• 4 minutes
- 6.20 Localized AI Solutions: Encouraging AI development tailored to local needs.• 6 minutes
- 6.21 International Support and Collaboration: Leveraging global partnerships for AI growth• 7 minutes
- 6.22 Addressing Economic Inequalities• 4 minutes
- 6.23 Inclusive AI Policies: Ensuring AI benefits are distributed equitably• 4 minutes
- 6.24 Taxation of AI-driven Enterprises: Tax policies for companies profiting from AI• 3 minutes
- 6.25 Supporting Vulnerable Populations: Developing programs targeting those most affected by AI disruption• 4 minutes
- 6.26 Access to AI Education: Promoting widespread AI literacy• 5 minutes
- 6.27 Monitoring Inequality Metrics: Usage of AI to track and analyse economic disparities• 4 minutes
1 reading• Total 10 minutes
- Hands On• 10 minutes
1 assignment• Total 30 minutes
- Quiz 6• 30 minutes
7 plugins• Total 105 minutes
- eBook: Module 06: Economic Impacts of AI• 15 minutes
- Activity: True/false• 15 minutes
- Activity: Case study• 15 minutes
- Activity: Multiple response• 15 minutes
- Activity: Tab• 15 minutes
- Activity: Pop-up• 15 minutes
- Graded Assessment• 15 minutes
What's included
32 videos1 reading1 assignment7 plugins
32 videos• Total 401 minutes
- Audiobook: Module 7 - AI Strategy, Implementation, and Collaboration• 166 minutes
- Podcast 7 - AI Strategy, Implementation, and Collaboration• 117 minutes
- 7.1 Developing National AI Strategies • 2 minutes
- 7.2 Setting Vision and Goals: Defining clear objectives for AI integration• 3 minutes
- 7.3 Stakeholder Alignment: Process of ensuring alignment across government, industry, and academia• 3 minutes
- 7.4 Policy Coherence: Integrating AI strategy with other national policies• 4 minutes
- 7.5 Resource Allocation: Plan for the financial and human resources needed• 6 minutes
- 7.6 Measuring Success: Establishing KPIs to track progress• 4 minutes
- 7.7 Building AI Capabilities in the Public Sector• 4 minutes
- 7.8 Talent Acquisition: Recruit skilled professionals in AI and data science• 7 minutes
- 7.9 Training Programs: Implementing Continuous Learning Opportunities• 6 minutes
- 7.10 Organizational Structures: Creating dedicated AI units or departments• 3 minutes
- 7.11 Technology Infrastructure: Investment in necessary hardware and software• 4 minutes
- 7.12 Collaboration Platforms: Encourage knowledge sharing across agencies• 3 minutes
- 7.13 Public-Private Partnerships in AI• 4 minutes
- 7.14 Collaborative Models: Joint ventures, Consortia, and Alliances• 3 minutes
- 7.15 Risk Sharing: Distribute risks and rewards among partners• 7 minutes
- 7.16 Governance Structures: Roles and Responsibilities• 3 minutes
- 7.17 Conflict of Interest Management: Implementing policies to handle potential conflicts• 4 minutes
- 7.18 Success Stories: Study effective partnerships and their outcomes• 2 minutes
- 7.19 Funding and Investment in AI• 2 minutes
- 7.20 Government Funding Mechanisms: Utilizing grants, subsidies, and incentives• 4 minutes
- 7.21 Private Investment Attraction: Creating favourable conditions for investors• 3 minutes
- 7.22 International Funding Opportunities: Accessing funds from global organizations• 4 minutes
- 7.23 Budgeting for AI Projects: Process of Planning and allocating budgets effectively• 3 minutes
- 7.24 Financial Oversight: Ensuring transparent and accountable use of funds• 4 minutes
- 7.25 Monitoring, Evaluation, and Continuous Improvement• 4 minutes
- 7.26 Performance Measurement: Use data to assess AI initiatives• 4 minutes
- 7.27 Feedback Loops: Incorporation of stakeholder feedback into program adjustments• 4 minutes
- 7.28 Adaptive Strategies: Preparedness to modify strategies based on outcomes• 7 minutes
- 7.29 Benchmarking: Compare performance against best practices and standards• 4 minutes
- 7.30 Reporting and Transparency: Publishing results to maintain accountability• 4 minutes
1 reading• Total 10 minutes
- Hands On• 10 minutes
1 assignment• Total 30 minutes
- Quiz 7• 30 minutes
7 plugins• Total 105 minutes
- eBook: Module 07: AI Strategy, Implementation, and Collaboration• 15 minutes
- Activity: Sequence• 15 minutes
- Activity: Case study• 15 minutes
- Activity: Fill in the blank• 15 minutes
- Activity: Tab• 15 minutes
- Activity: Scenario• 15 minutes
- Graded Assessment• 15 minutes
What's included
32 videos1 reading1 assignment7 plugins
32 videos• Total 413 minutes
- Audiobook: Module 8 - Shaping the Future of AI Policy• 194 minutes
- Podcast 8 - Shaping the Future of AI Policy• 99 minutes
- 8.1 Emerging AI Technologies and Trends• 4 minutes
- 8.2 Artificial General Intelligence (AGI): Implications of AGI development• 4 minutes
- 8.3 Quantum Computing and AI: How quantum advances may accelerate AI?• 4 minutes
- 8.4 Brain-Computer Interfaces: Ethical and Policy considerations• 4 minutes
- 8.5 Edge AI and IoT Integration: Security and Privacy factors in interconnected devices.• 5 minutes
- 8.6 Predictive Policy-Making: AI to anticipate future societal needs.• 3 minutes
- 8.7 International Cooperation on AI Governance• 3 minutes
- 8.8 Global Standards Development: Setting international AI norms.• 4 minutes
- 8.9 Cross-Border Data Policies: Harmonizing data regulations for seamless AI operations.• 3 minutes
- 8.10 Ethical Consensus Building: Collaborate on global ethical AI frameworks.• 4 minutes
- 8.11 Conflict Resolution: AI's role in international security and warfare.• 3 minutes
- 8.12 AI and the Sustainable Development Goals (SDGs)• 4 minutes
- 8.13 Aligning AI with SDGs: Mapping of AI initiatives to specific SDGs.• 4 minutes
- 8.14 AI for Environmental Sustainability: How AI is used to combat climate change and preserve biodiversity?• 3 minutes
- 8.15 Healthcare Improvements: Leveraging AI to achieve health-related SDGs.• 3 minutes
- 8.16 Education and AI: Promoting quality education through AI tools• 3 minutes
- 8.17 Measuring Impact on SDGs: AI analytics to track progress toward goals.• 3 minutes
- 8.18 Public Engagement and Transparency• 3 minutes
- 8.19 Citizen Participation: Public input in AI policy-making• 4 minutes
- 8.20 Awareness Campaigns: Educating public about AI benefits and risks.• 6 minutes
- 8.21 Transparency Measures: Openness in AI systems affecting the public• 4 minutes
- 8.22 Addressing Misinformation: Combating AI-generated fake news and deep fakes.• 5 minutes
- 8.23 Trust-Building Strategies: Fostering trust through accountability and ethical practices.• 5 minutes
- 8.24 The Future of AI Policy Making• 3 minutes
- 8.25 Anticipatory Governance: Preparation for future AI developments proactively.• 5 minutes
- 8.26 Policy Innovation Labs: Experiment with new policy approaches in controlled environments.• 6 minutes
- 8.27 Interdisciplinary Collaboration: Integrating insights from various fields into AI policy.• 6 minutes
- 8.28 Ethical Leadership: Promoting leaders who prioritize ethical considerations.• 5 minutes
- 8.29 Vision for AI and Society: Long-term vision for AI's role in humanity's future.• 4 minutes
- Course Summary • 6 minutes
1 reading• Total 10 minutes
- Hands On• 10 minutes
1 assignment• Total 30 minutes
- Quiz 8• 30 minutes
7 plugins• Total 105 minutes
- eBook: Module 08: Shaping the Future of AI Policy • 15 minutes
- Activity: Fill-in-the blank• 15 minutes
- Activity: Sequence• 15 minutes
- Activity: Sequence• 15 minutes
- Activity: Problem statement• 15 minutes
- Activity: True/False• 15 minutes
- Graded Assessment• 15 minutes
Instructor
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Explore more from Business
SSaïd Business School, University of Oxford
Course
SSaïd Business School, University of Oxford
Course
AAI CERTs
Course
CCoursera
Specialization