Certificate Programme in AI Governance and Ethics in Public Administration
-- viewing nowAi Governance and Ethics in Public Administration is a critical aspect of modern governance, and the Certificate Programme in Ai Governance and Ethics in Public Administration is designed to address this need. This programme is specifically tailored for public administrators, policymakers, and government officials who want to understand the implications of AI on governance and develop strategies to ensure ethical AI adoption.
6,982+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
The programme covers topics such as AI policy and regulation, data governance, transparency and accountability, and human-centered AI design.
By the end of the programme, participants will be equipped with the knowledge and skills to develop and implement AI governance frameworks that promote transparency, accountability, and public trust.
Join the Certificate Programme in Ai Governance and Ethics in Public Administration and be part of the movement to harness the potential of AI for the public good.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
AI Governance Framework: Establishing a structured approach to AI development, deployment, and oversight in public administration, emphasizing the importance of ethics, transparency, and accountability. •
AI Ethics and Bias: Exploring the concept of bias in AI systems, its impact on public administration, and strategies for mitigating bias, including fairness, transparency, and human oversight. •
Data Governance for AI: Understanding the role of data in AI decision-making, data quality, data security, and data governance principles to ensure data is used responsibly and ethically in public administration. •
AI and Human Rights: Examining the intersection of AI and human rights, including the right to privacy, freedom of expression, and non-discrimination, and strategies for promoting human rights in AI development and deployment. •
AI Transparency and Explainability: Investigating the importance of transparency and explainability in AI decision-making, including techniques for model interpretability, model-agnostic explanations, and model-agnostic interpretability. •
AI and Public Policy: Analyzing the impact of AI on public policy, including the role of AI in policy-making, policy evaluation, and policy implementation, and strategies for ensuring AI aligns with public policy goals. •
AI Governance in Multi-Stakeholder Settings: Examining the challenges and opportunities of AI governance in multi-stakeholder settings, including public-private partnerships, and strategies for effective collaboration and coordination. •
AI and Democratic Governance: Investigating the impact of AI on democratic governance, including the role of AI in democratic decision-making, democratic accountability, and democratic participation. •
AI Risk Management and Mitigation: Understanding the risks associated with AI development and deployment, including risks related to bias, security, and accountability, and strategies for mitigating these risks. •
AI and Public Administration Capacity Building: Analyzing the need for capacity building in public administration to effectively leverage AI, including strategies for building AI literacy, AI skills, and AI competencies.
AI Governance Framework: Establishing a structured approach to AI development, deployment, and oversight in public administration, emphasizing the importance of ethics, transparency, and accountability. •
AI Ethics and Bias: Exploring the concept of bias in AI systems, its impact on public administration, and strategies for mitigating bias, including fairness, transparency, and human oversight. •
Data Governance for AI: Understanding the role of data in AI decision-making, data quality, data security, and data governance principles to ensure data is used responsibly and ethically in public administration. •
AI and Human Rights: Examining the intersection of AI and human rights, including the right to privacy, freedom of expression, and non-discrimination, and strategies for promoting human rights in AI development and deployment. •
AI Transparency and Explainability: Investigating the importance of transparency and explainability in AI decision-making, including techniques for model interpretability, model-agnostic explanations, and model-agnostic interpretability. •
AI and Public Policy: Analyzing the impact of AI on public policy, including the role of AI in policy-making, policy evaluation, and policy implementation, and strategies for ensuring AI aligns with public policy goals. •
AI Governance in Multi-Stakeholder Settings: Examining the challenges and opportunities of AI governance in multi-stakeholder settings, including public-private partnerships, and strategies for effective collaboration and coordination. •
AI and Democratic Governance: Investigating the impact of AI on democratic governance, including the role of AI in democratic decision-making, democratic accountability, and democratic participation. •
AI Risk Management and Mitigation: Understanding the risks associated with AI development and deployment, including risks related to bias, security, and accountability, and strategies for mitigating these risks. •
AI and Public Administration Capacity Building: Analyzing the need for capacity building in public administration to effectively leverage AI, including strategies for building AI literacy, AI skills, and AI competencies.
Career path
Career Roles in AI Governance and Ethics in Public Administration
1. AI Governance Specialist
Conduct policy analysis and develop strategies to ensure AI systems align with public administration goals. Utilize data analytics and machine learning techniques to drive decision-making.
2. Ethics in Public Administration Consultant
Provide guidance on AI ethics and governance to public administration organizations. Develop and implement AI-related policies and procedures to ensure transparency and accountability.
3. Data Scientist
Apply machine learning and data analytics techniques to drive business decisions in public administration. Develop predictive models and data visualizations to inform policy decisions.
4. Machine Learning Engineer
Design and develop AI systems for public administration applications. Utilize machine learning algorithms to analyze complex data sets and drive decision-making.
5. Business Intelligence Analyst
Develop data visualizations and reports to inform business decisions in public administration. Utilize data analytics and machine learning techniques to drive insights and recommendations.
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.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CERTIFICATE PROGRAMME IN AI GOVERNANCE AND ETHICS IN PUBLIC ADMINISTRATION
is awarded to
Learner Name
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
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
