Sauki.ai: Modelling AI Use Cases in Public Health
Prepared By:
Corona Management Systems
4 February 2024
Sauki is an AI tool that enhances science communication by making public health modelling research easier to understand and use for African audiences
Overview of Sauki
AI: Artificial Intelligence;
Source: Corona Management System Team analysis
2
10 December 2024
Sauki is easy to use and the process for generating briefs is simple – just create an account, upload an article and select your preferred brief type
Visit the site
Go to sauki.ai
Create an Account
Use your email address to create an account and create a simple password
Upload your article
Log in and select an article in PDF format and upload by clicking at the left top of the page
Select Audience type
Select your audience type (Donors, Academics, General Public, or Decision Makers)
Create a brief
Select Generate Brief and wait for about 90 seconds for the brief to be generated
Submit Feedback
Select Submit Feedback and input your feedback to help us improve the tool or send it via email
AI: Artificial Intelligence; PDF: Portable Document Format
Source: Corona Management System Team analysis
3
10 December 2024
Sauki.ai helps to bridge key gaps to help everyone understand public health research, irrespective of your background
Gap Between Research and Funding Decisions for Donors
Sauki briefs for donors will help to ensure better understanding of health insights with which to drive decisions on resource allocation
Gap Between Research and Policy
Policymakers are now able to generate briefs tailored to them, helping to better drive evidence-based policymaking and ensure governance decisions are well-informed
Gap in Non-Specialists' Understanding of Research
With Sauki, you do not have to be a public health specialist or a modeller to understand and stay up to date with complex health research
Gap in Access to Summarised Evidence
Public health professionals often need quick, reliable summaries of complex information to inform decision-making and interventions
Barriers to Cross-Sector Collaboration
Public health advancements can be communicated more effectively to everyone from modellers to researchers outside of public health, making inter-disciplinary research collaborations even easier
Source: Corona Management System Team analysis
4
10 December 2024
Sauki was built using standardised templates derived through a human-centered design process ensuring that the specific needs of all user types are considered
Human-Centred Design
Standardised Templates
Sauki was co-designed along with potential users of the tool who fit into the different audiences being considered to improve user experience
This approach helped in the creation and validation of templates for the briefs to suit each audience type
The standard templates include general sections, along with additional sections tailored to each audience, ensuring the use of appropriate technical language to meet their specific needs.
This approach, in addition to prompt engineering, also ensures briefs are produced with only information from the uploaded paper leaving Sauki with no chance to analyse therefore no information is lost or added
Responsible AI Practices
There were ethical considerations while the tool was built such as HCD, transparency, data protection, inclusiveness, alignment with ethical standards, as well as risk management
AI: Artificial Intelligence; HCD: Human-Centred Design
Source: Corona Management System Team analysis
5
10 December 2024
Modellers formed a core part of the development of templates and validation of the briefs generated by the tool
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05 February 2025
Identification of modelling articles
Modellers provided guidance on how to identify a modelling research paper
Validation of brief template
Modellers co-created the template for the briefs to ensure it effectively captured every aspect of the research paper
Validation of human-generated briefs
They read the human-generated briefs and made corrections that were necessary before the briefs were used to train the LLM
Validation of Sauki-Generated briefs
After deployment of the tool, modellers used it to generate briefs and gave their feedback on the output
LLM: Large Language Model
Source: Corona Management System Team analysis
Thank you!