Deadline: November 7th 2023 | Ethiopia’s Challenges Using Equitable AI to Improve Global Health
| Title: | Ethiopia’s Challenges Using Equitable AI to Improve Global Health |
| Organisation; | Catalysing Equitable Artificial Intelligence and Global Health Project |
| Fund/Grant: | $100 000 000 |
| Deadline: | November 7th 2023 |
| Eligible | Ethiopia |
The Catalysing Equitable Artificial Intelligence (AI) Use to Improve Global Health Project has been officially launched in Ethiopia by the Bill & Melinda Gates Foundation, the Patrick J. McGovern Foundation, and the Pasteur Network, along with other Grand Challenges (GC) partners including GC Brazil, GC Ethiopia, GC India, GC Senegal, GC South Africa, and GC Africa (pan-African).
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The potential for artificial intelligence (AI) to revolutionise healthcare globally is enormous. To improve the health and wellbeing of their women, children, and vulnerable populations, low- and middle-income countries (LMICs) must be given the opportunity to take the lead in the design and co-creation of AI-enabled solutions as the field develops. With this request for proposals, they are placing an emphasis on AI solutions that are locally owned and driven, making them more pertinent to the needs of the people they want to serve and more likely to be embraced and adopted by local communities.
This call from the various GC partners is a follow-up to the initial call from the Bill & Melinda Gates Foundation and represents cooperative steps towards identifying, nurturing, and catalysing the innovation, vigour, and skills that researchers, implementers, governments, and technical partners have shown in addressing particular problems in their nations and regions through LLMs.
Challenge
- In order to enhance global public health, this RFP is looking for creative ways to employ LLMs, such as ChatGPT-4 or other reliable sources with a comparable level of competence. They encourage/expect the candidate to choose the tool that best suits their use case and context out of the many open and closed-source Al tools available.
Areas
- They are seeking initiatives that aim to address issues in the following fields:
- Clinical decision support tools that can be utilised by front-line healthcare professionals or clinicians to enhance the diagnosis and treatment of medical disorders.
- Support for improved adherence to health guidelines
- Overcoming constraints associated with distance, lowering costs, and interpreting diagnostics
- Policymaking & Population Health
- Support for using normally accessible, underused, or unused text and voice data sources to gain fresh and timely insights for policymakers.
- Reduce the amount of time it takes for new evidence to be incorporated into policies and practises while also maximising resource allocation.
- Methods that can extract knowledge from dynamic, complicated datasets and provide timely suggestions (e.g., forecasting illness progression and epidemics)
- Supporting front-line health professionals
- Semi-skilled FLWs can benefit from individualised instruction that is highly relevant, personalised, and results in higher service quality and/or cheaper costs.
- Workflow management tools offered by LLM include writing discharge summaries and other tasks. c. Making use of LLMs to assist competent FLWs in providing better services with increased effectiveness
- Patient Journeys & Health Communications
- Create effective and targeted communication tools (e.g., translation from regional dialects, text-to-voice, etc.) to overcome language and literacy barriers for disseminating health-related knowledge, messaging, and guidance.
- Giving end users who are disadvantaged fast, reliable, and customised assistance will help you address serious access, stigma, and cultural issues.
- Helping patients understand and control their own health state and treatment plan
Strengthening of Health Systems
- Improved interoperability of health data, systems, and programmes through the use of LLMs
- An clear request for an Al-supported initiative in Ethiopia will be given priority in bids.
- projects that have already finished a pilot before this Grand Challenges call, and/or projects that contain tools or lessons that can be applied to different use cases, circumstances, or contexts with little modification.
- Stress the value of locally relevant, culturally suitable, and representational Al
Financial Details
- The organisation will receive grants totaling up to $100,000.00 USD for each initiative over the course of up to a 12-month period.
Locations of Interest
- Ethiopia is the location of interest for this proposal, hence Ethiopian researchers must be in charge of the study. International partners may be mentioned, however bids must show that at least 80% of the funds will go to an Ethiopian organisation. Budgets for applications should match the intended scope of activities.
- The ideal plan would: Focus on a particular issue that Ethiopia has recognised as a top concern.
- Utilise Al to boost output and effectiveness in the healthcare industry.
- Add to the body of knowledge about the use of Al in LMICs for global health.
- Al encourages innovation in order to assist public health decision-makers and impacted populations.
- Put a lot of effort into methodically observing, validating, and quantifying the better outcomes in balance with the cost-effectiveness of using Al.
- Adhere to the universally accepted principles of Al usage I) to do no harm 10 and 10 to utilise technology to combat the most difficult/relevant global health problem iii) makes sure that initiatives are directed by LMICs even when a high-income country (HIC) partner may be present. In addition, there is a plan for disseminating the projects’ results, which brings us to point number four.
- Allow local populations to provide their unique viewpoints and cultural context so they can decide on both i) their own safe consumption thresholds and ii) the general usefulness of Al in their own lives.
Eligibility
- Proposals that show how LLMs (such GPT-4, Laude, LLaMA, or other reliable sources with equal capabilities) might be used to solve a specific problem in Ethiopia’s global health sector.
- Proposals that show the grantee understands the application thoroughly, has completed some stakeholder mapping, and has a strategy for engaging local decision-makers to ensure the proposal is successful.
- Proposals with a strong potential for leverage and expansion.
- Proposals that lay forth a precise, workable, and repeatable approach.
- Proposals that take into account the decision-makers’ availability, time constraints, and interest in using Al
- Proposals that describe the impact the project will have in the short term and how those benefits will last for the duration of the project.
- Proposals that are motivated by a similar dedication to open science, data sharing, and creating infrastructure for collaboration and analysis to support discoveries that will help everyone.
- They invite proposals in especially from women-led organisations and those incorporating female-led projects.
- Proposals that: Do not expressly use/reference the usage of LLMs in their project execution will not be funded.
- Do not have timely access to the required information, the decision-maker’s time, commitment, or interest (a letter of commendation or request will be helpful).
- Don’t show that the majority of the proposed study will be carried out by teams and researchers headquartered in Ethiopia.
- Leave out the validation plan.
- Don’t give sustainability or scaling up any thought.
For more information, visit the Bill & Melinda Gates Foundation.
