Certified Specialist Programme in AI Policy Making for Public Sector
-- viewing nowArtificial Intelligence (AI) Policy Making is a rapidly evolving field that requires specialized knowledge and skills. The Certified Specialist Programme in AI Policy Making for Public Sector is designed for public sector professionals who want to understand the implications of AI on governance and policy making.
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About this course
The programme is tailored to equip public sector officials with the necessary tools and expertise to develop and implement effective AI policies that balance innovation with social responsibility.
Through a combination of lectures, discussions, and case studies, participants will gain a deep understanding of AI policy making, including regulatory frameworks, ethics, and stakeholder engagement.
By the end of the programme, participants will be able to design and implement AI policies that promote transparency, accountability, and inclusivity.
Don't miss this opportunity to stay ahead of the curve in AI policy making. Explore the Certified Specialist Programme in AI Policy Making for Public Sector today and take the first step towards shaping the future of AI governance.
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Course details
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Artificial Intelligence Ethics: This unit focuses on the moral and societal implications of AI, including fairness, transparency, and accountability, and explores the development of AI ethics frameworks and guidelines for public sector organizations. •
AI Policy Frameworks: This unit examines the various policy frameworks and regulatory environments that govern AI development and deployment, including data protection, intellectual property, and competition law, and discusses the implications for public sector organizations. •
Data Governance for AI: This unit explores the importance of data governance in AI decision-making, including data quality, security, and management, and discusses the role of data governance in ensuring transparency and accountability in AI systems. •
AI for Public Sector: This unit examines the potential applications of AI in public sector organizations, including service delivery, policy-making, and service design, and discusses the opportunities and challenges for public sector organizations to leverage AI. •
AI and Human Rights: This unit explores the relationship between AI and human rights, including the right to privacy, the right to non-discrimination, and the right to participation, and discusses the implications for public sector organizations. •
AI and Democracy: This unit examines the impact of AI on democratic institutions and processes, including the role of AI in campaign finance, election integrity, and public engagement, and discusses the challenges and opportunities for public sector organizations. •
AI and Public Sector Innovation: This unit explores the potential for AI to drive innovation in public sector organizations, including the use of AI for service design, policy-making, and service delivery, and discusses the opportunities and challenges for public sector organizations to leverage AI. •
AI and Public-Private Partnerships: This unit examines the role of AI in public-private partnerships, including the use of AI for service delivery, policy-making, and service design, and discusses the challenges and opportunities for public sector organizations to leverage AI. •
AI and Capacity Building: This unit explores the need for capacity building in public sector organizations to leverage AI, including the development of skills, knowledge, and competencies, and discusses the role of AI in improving public sector efficiency and effectiveness. •
AI and Governance: This unit examines the role of AI in governance, including the use of AI for policy-making, service delivery, and service design, and discusses the challenges and opportunities for public sector organizations to leverage AI in governance.
Artificial Intelligence Ethics: This unit focuses on the moral and societal implications of AI, including fairness, transparency, and accountability, and explores the development of AI ethics frameworks and guidelines for public sector organizations. •
AI Policy Frameworks: This unit examines the various policy frameworks and regulatory environments that govern AI development and deployment, including data protection, intellectual property, and competition law, and discusses the implications for public sector organizations. •
Data Governance for AI: This unit explores the importance of data governance in AI decision-making, including data quality, security, and management, and discusses the role of data governance in ensuring transparency and accountability in AI systems. •
AI for Public Sector: This unit examines the potential applications of AI in public sector organizations, including service delivery, policy-making, and service design, and discusses the opportunities and challenges for public sector organizations to leverage AI. •
AI and Human Rights: This unit explores the relationship between AI and human rights, including the right to privacy, the right to non-discrimination, and the right to participation, and discusses the implications for public sector organizations. •
AI and Democracy: This unit examines the impact of AI on democratic institutions and processes, including the role of AI in campaign finance, election integrity, and public engagement, and discusses the challenges and opportunities for public sector organizations. •
AI and Public Sector Innovation: This unit explores the potential for AI to drive innovation in public sector organizations, including the use of AI for service design, policy-making, and service delivery, and discusses the opportunities and challenges for public sector organizations to leverage AI. •
AI and Public-Private Partnerships: This unit examines the role of AI in public-private partnerships, including the use of AI for service delivery, policy-making, and service design, and discusses the challenges and opportunities for public sector organizations to leverage AI. •
AI and Capacity Building: This unit explores the need for capacity building in public sector organizations to leverage AI, including the development of skills, knowledge, and competencies, and discusses the role of AI in improving public sector efficiency and effectiveness. •
AI and Governance: This unit examines the role of AI in governance, including the use of AI for policy-making, service delivery, and service design, and discusses the challenges and opportunities for public sector organizations to leverage AI in governance.
Career path
| **Career Role** | Description | Industry Relevance |
|---|---|---|
| AI and Machine Learning Engineer | Designs and develops intelligent systems that can learn and adapt to new data, applying machine learning algorithms and programming languages such as Python and R. | High demand in industries like finance, healthcare, and transportation, with a median salary of £80,000 in the UK. |
| Data Scientist | Analyzes and interprets complex data to gain insights and make informed decisions, using techniques like regression analysis and data visualization. | In high demand across industries, with a median salary of £60,000 in the UK. |
| Business Analyst (AI Focus) | Identifies business needs and develops solutions using AI and machine learning, improving operational efficiency and customer experience. | Essential in industries like finance, retail, and healthcare, with a median salary of £50,000 in the UK. |
| Policy Analyst (AI Focus) | Develops and implements AI-driven policies to address social and economic challenges, ensuring data-driven decision-making. | Critical in government and regulatory bodies, with a median salary of £40,000 in the UK. |
| Quantitative Analyst (AI Focus) | Analyzes and models complex financial data using AI and machine learning, identifying trends and predicting market behavior. | In high demand in finance and banking, with a median salary of £60,000 in the UK. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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CERTIFIED SPECIALIST PROGRAMME IN AI POLICY MAKING FOR PUBLIC SECTOR
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who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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