1. Presentation of the AI solution and the applying organisation
1.1 Nominator and Project Lead informations
1.2 General presentation of the AI solution
1.3 Organisation information
1.4 Previous submissions
2. AI solution project details
2.1 AI solution details
Provide a brief description of the AI solution you are nominating
Please indicate to which industry category the AI solution belongs. (For more information about industry categories, refer to the International Labour Organization https://www.ilo.org/global/industries-and-sectors/lang--en/index.htm)
Please indicate to which industry category the AI solution belongs. (For more information about industry categories, refer to the International Labour Organization https://www.ilo.org/global/industries-and-sectors/lang--en/index.htm)
2.2 AI solution impact on Sustainable Development Goals
2.3 AI solution geographical implementation
Please select the continent where the AI solution is being implemented
Please select the main country where the AI solution is being implemented. If your project doesn't apply to a specific country select none.
If you want to add a second country, please select it here
If you to add a third country, please select it here
3. AI solution evaluation aspects
IMPORTANT – Maximum of 300 characters per answer.
3.1 AI solution scaling and impact to the SDGs
Please describe how the nominated AI solution will scale the impact of the SDGs. (For more information about the SDGs, refer to https://sdgs.un.org/goals)
Explain which specific SDGs targets and sub-targets the AI solution is linked to, and why.
How does the proposal provide a clear technical solution to the SDGs it approaches that use AI in the general public and relevant sectors/domains (research, non-profit, corporates, public bodies, start-ups)?
To what extent does the proposal contain objectively verifiable indicators for project outcome, notably through the organisation of regular user satisfaction surveys and programme evaluations?
To what extent is the project likely to increase the positive impact of AI in the field of Sustainable Development, the use of AI based businesses, solving development problems?
To what extent the AI solution objectives and design respond to communities of the regions you chose to implement your solution and the SDGs goals ?
In which way the proposal minimises the potential negative impact of your project on the SDGs your aren't targeting ?
3.2 Scaling of the AI solution, scientific and technical aspects
Here you need to address the scientific and technical parts of the proposed AI solution. Please detail what proof of concept or implementations can you show now in terms of its efficiency and how the solution can be scaled to reach global impact and how realistic that scaling is.
What type of AI is involved, and what is the degree of innovation, what kind of application (in the scientific and technical sense), and how innovative the application is in itself?
Is the AI system appropriate for the problem it aims to address? Quality of AI solution and algorithm: To what extent is the research work clear and detailed?
Has the AI system been tested adequately so that its initial faults or problems have been addressed? Is the AI producing explainable outputs and can it carry out its tasks with efficiency and durability?
What is your evidence for impact and what kind of problems are you facing in terms of scaling up? How many early adopters you have?
How big is your user community?
How engaged are you with AI Ethics, open source and GDPR or equivalent standards?
Particular attention will be paid to the ability of the approach to increase scaling and the use of AI in new user communities and application areas across SDGs. How feasibly could the AI system be applied to other initiatives in different contexts? To what extent can the initiative be scaled up to be used in new user communities and across different areas of the SDGs?
To what extent is the project likely to support the emergence of a vibrant AI for SDGs ecosystem across the globe, encouraging exchanges between relevant stakeholders (research centers, universities, international organizations, small and large companies…)?
3.3 Human Rights and Ethics aspect
Here you need to address the social and equitable parts of the proposed AI solution. Please detail the way the solution addresses any of the main ethical and human rights aspects, including trustworthiness, ethnic issues, gender issues, other bias, etc. (For more information about AI Ethics, refer to https://ircai.org/project/the-unesco-recommendation-on-the-ethics-of-ai/)
Is the application of the AI technologies ethical and equitable? Does it take consideration of potential impacts to Human Rights?
Are all three components, which should be met throughout the system's entire life cycle: (1) it should be lawful, complying with all applicable laws and regulations (2) it should be ethical, ensuring adherence to ethical principles and values and (3) it should be robust, all in place?
To what extent does the proposal contain specific elements of added value, such as innovative approaches, models for good practice, promotion of gender equality, equal opportunities, etc.? To what extent does the initiative ensure that the AI solution does not create discriminatory or unjust impacts for different demographic and geographic groups?
To what extent is the internal operation of the AI solution transparent to a wide range of stakeholders?
To what extent does the initiative provide clarity around the manufacture and deployment of the AI solution for the public to establish responsibility and accountability?
To what extent does the initiative minimize risk for potential damage to the environment, public health, and human rights?
3.4 Business Growth potential
Here you need to address the business aspects and development of the proposed AI solution. Plans for long-term success, leadership, team, diversity and inclusion.
Is there a strong market demand for the initiative in the user/implementation countries and communities? Which other AI products are in the market? Why your solution will bring something new into it?
To what extent are the team members prepared to successfully implement this initiative? To what extent do the team members display strong leadership qualities and business experience?
To what extent does the initiative account for balanced representation and team composition with regards to gender, socio-economic background and ethnical diversity?
What are the priorities that the initiative is chasing in terms of business creation?
To what extent does the proposal demonstrate profitability?
To what extent are the net benefits of the initiative likely to continue?
4. References
If you want to share any research or publications made by the team project on aspects of the AI solution, please share them here
If you want to share some relevant publications or research that helped you build your project, please share them here
Explain all the publications you shared and what it brought to you and your solution
5. Current Needs