Session
In partnership with Google & Interparliamentary Union, with the support of the IGF Secretariat.
1.Introduction/Background
Google’s AI Sprinters programme focuses on capturing the economic opportunities AI presents inthe international market, and the role of policies in unlocking these opportunities. The programmeincludes a course on the foundations of AI and cloud policy making. We envision holding a workshopaimed to familiarize participants with AI and Cloud terminology, identify opportunities for AI andcloud from a global point of view, and understand the AI Sprinters Framework. We aim to driveconfidence in discussing and implementing AI and Cloud terminology, policy making andgovernment usage in their roles and department.
Proposed Curriculum: Enhancing Government Efficiency with AI (120 mins)
- Get familiar with AI and Cloud terminology
- Discuss AI’s potential to streamline your work
- Get hands on with AI
- Explore how your peers are using AI
- Review AI use cases in government and the public sector
- Discuss challenges to AI and Cloud adoption
Proposed Agenda
- Session Welcome and Introduction (15 minutes)
- Introduction to AI and the Cloud (15 minutes)
- Terminology
- Considerations &Challenges
- Streamlining your work with AI (15 minutes)
- How AI and Cloud can helpin your role
- Working together with AI
- Get Hands On with AI (30 minutes)
- Predictive vs. Generative AI
- Generative AI use cases
- Privacy and security within Gen AI
- Trying out AI tools
- Writing good prompts
- Challenges and best practice
- Strategies and Challenges of AI (15 minutes)
- Challenges of AI adoption
- The balancing act of innovation and risk
- AI use cases in government and the public sector (Climate, healthcare, education) relevant to the region.
- Discussion and Q&A (25 minutes)
- Trainer asks guided questions on AI use in participants’ departments and addresses challenges or concerns.
- Answers any questions that arise based on the content
- Feedback (5 minutes)
- Trainer prompts participants to complete the feedback form
2. Problem Statement
Many international markets face unique challenges, including limited infrastructure, digital skills gaps, and regulatory hurdles, which hinder the adoption of AI and Cloud technologies. Without targeted strategies, these markets risk falling behind in the global digital economy, exacerbating socio-economic inequalities.
There is a need to address the challenges and barriers to the adoption of AI and cloud, such as limited internet access, affordability, misuse and exclusion, data gaps, and infrastructure challenges, at a government level.
There is also a need to ensure the responsible use of AI, considering the risks of misinformation, bias, privacy and security concerns, and job displacement. Public officials and parliamentarians currently exhibit insufficient proficiency in leveraging AI to enhance operational efficiency.
3. Objectives
The workshop aims to familiarize participants with AI and Cloud terminology, policy making and usage.
❖ Participants will identify opportunities for AI and Cloud across various sectors.
❖ Participants will become familiar with the AI Sprinters Framework. The framework seeks to address issues including:
- The impact of data and infrastructure on the adoption of Cloud and AI.
- Creating regulations and policies for the ethical adoption of AI.
- Skills development to ensure talent pipelines.
- Direct experience applying AI in their professional roles.
5. Expected Outcomes and Impact
The programme will contribute to building an AI-ready government workforce with different levels of AI fluency that they can implement in their roles and organisations. It is intended that the program will highlight how responsible adoption at a government level can foster increased international understanding and improve access to digital resources. This will lead to a more widespread embrace of Cloud and AI technologies, which will, in turn, enhance critical infrastructure and accelerate economic growth The programme will also help ensure the responsible and ethical use of AI.
6. Monitoring and Evaluation
We have implemented regular feedback of AI and Cloud sessions to assess performance and relevance to the intended audience, metrics to measure digital adoption, infrastructure improvements, and socio-economic impact, and feedback mechanisms for continuous improvement and stakeholder engagement.