RFP for social good

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Presentation
VanCardui
Project Owner

RFP for social good

Funding Requested

$24,450 USD

Expert Review
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Overview

We propose an RFP dedicated to “social good” A.I. projects.
It's been mooted several times in the community that it might be useful to have an RFP for proposals that are foregrounding social impact and "social good" outcomes. So we've framed the RFP-creation process as a way to have a full-on, inclusive community conversation about what we mean by "social good" in our AI context, how we might measure it, and what kind of work we'd want it to enable. We feel such an RFP could encourage new, diverse participants to the SingularityNET community, and enable new practical applications which might surprise us.

Proposal Description

How Our Project Will Contribute To The Growth Of The Decentralized AI Platform

Machine learning has proven its value to complex technical problems like data consistency and data scarcity; but the “social good” or "social impact" of the projects we fund in DF is an important additional focus, which we feel deserves its own RFP. This focus supports Deep Funding’s overall mission of beneficial AGI; and it could attract new (and maybe more diverse) participants to the SingularityNET community, and enable new practical applications which might surprise us. 

Our Team

We're a small, experienced team with plenty of crossover in our skills, which means we can share responsibility and work cohesively rather than in silos. We're each involved in different areas of SingularityNET and other ecosystems, so between us, our network is large, which will enable us to do the kind of community-wide engagement this proposal demands. And we all have a developed understanding of the concepts and issues around social good and social impact.

View Team

Company Name (if applicable)

N/A

The core problem we are aiming to solve

“Social good” in AI projects is something many of us care about - but how to define and track it? How to best support proposals that have it as their core aim?


In order to be meaningful, an AI “social good” project may need to hit additional criteria, and work in different ways (e.g. more community outreach and co-production, as well as building). It may also need to evaluate its work differently: e.g. the flexibility to respond to input from those it seeks to help.  


An RFP in DFR5 specifically for “social good” proposals will allow such projects to work in ways that suit them best; and will also help us begin to build a “social impact” community-of-practice, connecting people interested in this field.


Designing that RFP (the core aim of this proposal) is also a fantastic opportunity for community-wide conversations on what “social good” means in our context, and the approaches and values we want to see. We’ll do this by engaging people in focused discussions, so we can write an RFP that fits this community’s context and values.

Our specific solution to this problem

  1. Invite core stakeholders to one of 3 initial Zoom discussions on “social good” in the context of DF proposals. We’ll have an eye to addressing barriers to participation, and will include an open process for people to nominate themselves as a participant.
  2. Document and begin to track issues raised via a GitHub issues board; share the thinking in accessible ways, e.g text summaries, short videos, infographics, to enable wide community awareness of the issues raised.
  3. Invite broad community engagement, via open meetings, 1-2-1 conversations, and async; and in Spanish as well as English to engage LatAm community. Translate key materials.
  4. Document & share input from the broad community in the same ways, and add it to our issue-tracking. Also, find and incorporate past input - e.g. DF Focus Group Listening Session about Pools, Dec 2023, which included insights on “social good” proposals; relevant discussion in the SNET Global AI Ethics group; etc.
  5. Using all this input, draft criteria for an RFP for “social-good A.I. projects”.
  6. Workshop the process of writing a proposal for this RFP with a group of would-be proposers, to identify sticking-points. 2nd draft to incorporate changes.
  7. Share RFP for wider community comment, to create a final iteration.
  8. (after the start of Deep Funding Round 5) Document the submissions to the RFP in DFR5, and conduct a retrospective to look at what kinds of proposals it supported, what (if anything) it excluded or limited, and what effect it had on proposals.

Project details

We feel we've covered all the salient points of our proposal above; but in this section, we’d like to answer a few questions that we anticipate people might have.

Q. What do you feel is important about your approach to RFP-creation?
A. First, we want to do it via community engagement. We won't just be asking experts for their views, but everyone. That's why part of our work involves creating materials to explain core issues, so that even those who have never thought about it before will be able to take part in the discussions, and so that we can use the creation of an RFP as a way to have an inclusive conversation, as a community, on an issue that many funding programs never get around to discussing - what do we mean by "social good" and "social impact"?
Second, we think it's vital not to simply write an RFP and leave it at that. We have included running a retrospective after the RFP has been used in Deep Funding R5, so the whole community can assess what kinds of proposals were submitted to it, what sorts of ideas it enabled, and ultimately, what difference it made.

Q. Why do this community research? Why not simply require proposals to align with an externally-created standard such as the U.N.’s SDG goals?

A. We feel that simply adhering to an external standard could be quite centralising, and even a bit lazy. If we use an "off the shelf" schema, rather than having the conversations ourselves as a community, it could limit DF’s thinking on what “social good” really means in our specific, AI-focused context. We don’t want to make assumptions about these complex issues without discussion - particularly as it’s often the quieter voices in the community who have the most insight into topics like “social impact”, because they have personal experience of the issues. We also know, from our varied work on inclusion and community engagement, that there is a whole range of approaches out there to defining and measuring “social good”, beyond just a tick-box use of SDGs - for example, there's:

  • the concept of "own voices" and lived experience;
  • the idea of AI as a Commons;
  • the idea of co-production as an important element of how social-impact projects should be conducted;
  • the idea of Theory of Change as a possible approach to assessing social impact; and so on.

We want to draw on all these, and more; and we hope to create a polyvalent, flexible RFP which has space for different ways of working, and which incorporates a range of background ideas that will inspire proposers. If we just took the UN’s SDGs and asked proposers to conform to them, we could end up limiting rather than enabling; and we would also have missed a brilliant opportunity for community-wide engagement on these important issues. “Social good” is often defined quite simplistically (on “glossary” websites, for example) as a kind of utilitarianism: “the greatest good for the greatest number of people” - but we know it’s way more complex and interesting than that. A mere numbers game can miss the point, and can stop us creating real targeted social good for specific marginalised groups. So we’d like to create the space to discuss these kinds of issues, as part of our process of making an RFP.

Q. The overall Fund rules already require all projects to have ethical standards, and to support beneficial AGI. Isn’t that the same thing?
A. No, we don’t think it is. While of course everything funded in DF should be obliged to say something about its ethics, and should support benevolent AGI, we feel that proposals that actually want to use AI to create specific “social good” outcomes are doing a bit more than this. They might be trying to create a social benefit for everyone, or to address specific barriers that people face because of language, disability, poverty, prejudice, and more - and this goes beyond just having a general ethical stance and broadly supporting benevolent AGI.

Social impact projects might not necessarily be “for profit”, and might need to embed different approaches and ways of thinking; and it might not be appropriate to judge them by the same criteria as more general projects. We think that an RFP specially for them, supporting the unique elements of what they are aiming to achieve, would be beneficial, and could surface some  applications for AI that we would not otherwise see.

Q. Who do you mean by “the community” and “stakeholders”?
A. We primarily mean the Deep Funding community, of proposers, voters and reviewers - but not just them. A core element of our approach is that we want to hear from the whole AI/AGI community; so it’s our intention to reach out to and invite the whole of SingularityNET (spinoffs, Ambassadors, etc); and to invite other ecosystems. For example, we plan to approach the communities of FETCH and Ocean, and other networks where we have connections, such as Cardano and Oasis. We feel all these communities might have useful input on what “social good” funding actually means.
And even within the DF community itself we don’t want to make too many assumptions on who is a “stakeholder”. We want to work in a way that takes account of barriers to participation, and addresses things that make it hard for people to step up; and we want to make sure we don’t exclude any viewpoints by being too narrow in who is invited. Particularly, we want to avoid just hearing from people who know about these issues in an academic way - we want to ensure we include those who understand it it because of their lived experience. This is why a lot of our budget is for outreach and facilitation - without these, we won't get the broad input we need.

If you have a question we haven't addressed, please ask!

NOTE: the text of this proposal is licenced to the 3 proposers under Creative Commons CC BY-NC-ND 4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/

Competition and USPs

This may not be a valid question for this pool, because we’re proposing to design an RFP rather than create a product for the market. But we can say that our idea differs from pools in previous DeepFunding rounds, because it addresses the social and ethical value of proposals, rather than only their market value. 

Some of our background research:
We examined the how the UN's SDGs are used in Cardano's Project Catalyst to define proposals' social impact. We found proposers can end up “shoehorning” their projects into a schema that doesn’t fit; also there is no attempt to assess whether the purported impact is achieved.
We also researched other approaches that have been used in funding schemes which address social good - for example, co-production, here and here ; Theory of Change, here and here.
One of our team worked with social impact projects in Ghana and Cameroon, which gave useful background thinking about what “social impact” is in a Web3 context, and how to evaluate it.

Needed resources

There are no missing roles in the team that we need to recruit for; but we will need: 

  1. participation from key stakeholders for the initial discussion meetings
  2. collaboration and engagement from the community at large
  3. translation and facilitation support from the LatAm community.

We’re confident that we will be able to get all of these if we’re funded, since we have good connections throughout the ecosystem, and already have many of the needed contacts

Also, we’d ideally like to be able to use DF’s communication channels, such as YouTube and Twitter/X - but if this isn’t possible, it’s not a disaster, as we can use channels belonging to core team members.

Proposal Video

DF Spotlight Day - DFR4 - Vanessa Cardui - RFP for Social Good

4 June 2024
  • Total Milestones

    4

  • Total Budget

    $24,450 USD

  • Last Updated

    4 Jun 2024

Milestone 1 - Setup and initial engagement

Description

We will set up all our project systems and methods including a workflow communication channels and a GitHub project board to track the issues and opinions that emerge and any research that we uncover. We'll also do initial outreach and identify and invite core stakeholders to be part of the initial discussions. These will be people who already have some developed thinking about social impact and who can represent a range of ideas about it. We will facilitate 3 Zoom meetings (assuming 6 people at each meeting so a total of 18) to scope key issues for a “social good” RFP. We will use open-source and accessible methods to document the meetings track issues and publicise the topics which have emerged (for example short explanatory videos and infographics on key topics; accessible meeting summaries; timestamped meeting videos; a GitHub project board tracking the core issues); and use these to help community members learn about key issues so they can join the conversation and stimulate broader community engagement. The costs of initial setup means that this milestone's budget is the highest.

Deliverables

Set-up of all our project systems. 3x timestamped meeting videos. Text summaries of the sessions. 10 short (90-second) topical videos and/or infographics on key issues that have emerged. Publicity to encourage the wider community to get involved including posts on Twitter Discord Telegram and Mattermost. A DF Town Hall session or similar public event to share the progress so far.

Budget

$8,200 USD

Milestone 2 - Community critique

Description

Engage the wider community to have input to and to critique the materials created by the initial core group. We will do this via 3 open meetings (one of which will be in Spanish via LatAm Town Hall); plus some 1-2-1 in-depth conversations with community members who have a special interest in the issues and some async interaction (to address time-zone issues). Review and incorporate any thinking on the topic from historic meetings (such as the Focus Group listening session on pools in December 2023). Document track and share the insights we get.

Deliverables

3x meeting videos (2 English 1 Spanish). GitHub project board continues to track input into existing issues from our community meetings and from any past meetings that are relevant and adds any new issues raised. Text summaries of 3 meetings (2 English 1 Spanish). Issue-tracking and documentation of fifteen 1-2-1 discussions. Translations of key materials between English and Spanish. 10 short (90-second) topical videos and/or infographics highlighting and educating on key issues that have emerged. Publicising the results so far including a series of posts on Twitter Discord Telegram and Mattermost. A DF Town Hall session to share the progress and the issues.

Budget

$7,800 USD

Milestone 3 - Finalise and workshop

Description

Initial draft of an RFP for “social impact A.I. projects”. We then work with a small group of potential proposers to workshop the process of submitting an imaginary proposal under the proposed RFP; and write a second draft incorporating any comments or sticking-points. We share the proposed RFP and invite community input and comments to create a final iteration.

Deliverables

First 2nd and 3rd (final) drafts of the RFP are produced. Feedback and community input is documented. The RFP is used in Deep Funding Round 5 and proposals are submitted to it.

Budget

$3,800 USD

Milestone 4 - Monitoring and evaluation

Description

Invite key stakeholders to a retrospective session to examine the submissions to the RFP in DFr5 and assess what kinds of proposals it supported and how effective it was. Write a final evaluation report covering both the process of creating the RFP and the results. Publicise and share final evaluation report.

Deliverables

Final evaluation report.

Budget

$4,650 USD

Join the Discussion (3)

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3 Comments
  • 0
    commentator-avatar
    CLEMENT
    Jun 1, 2024 | 1:55 PM

    I believe your RFP will encourage the development of practical applications of AI that may have previously been overlooked, leading to innovative solutions that benefit both the community and society at large.

    • 0
      commentator-avatar
      LadyTempestt
      Jun 3, 2024 | 12:55 PM

      Thank you so much, Clement! Your support means a lot to us, Cheers to greater things soon.

      • 0
        commentator-avatar
        CLEMENT
        Jun 3, 2024 | 9:01 PM

        Kudos to you and your team ! Also, you are also welcomed to make comments on our team proposal as well https://deepfunding.ai/proposal/4757/  - AI4M (Enhancing Malaria Predictability using AI) https://deepfunding.ai/proposal/biotek-nexus-next-gen-biodiversity-conservation/  - BIOTEK NEXUS (Blockchain Biodiversity Conservation)

Reviews & Rating

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13 ratings
  • 0
    user-icon
    nicola salvagni
    Jun 11, 2024 | 10:50 PM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 5
    • Usefulness 5
    I was pleasantly surprised to find this proposal

    The proposed solution, emphasizing community participation and co-creation, ensures that the definition and criteria for "social good" projects are shaped by a diverse range of voices, not just a select few. This inclusive approach, combined with a transparent process of documentation and iteration, makes the proposal highly viable. Discussing and promoting social good projects within decentralized funds like DeepFunding is essential for addressing issues that widen social and digital gaps.

    Moreover, we see the importance of beginning to train regional leaders with on-the-ground experience who can guide us in addressing the everyday challenges faced by citizens in these areas. These leaders, often not well-versed in technology and lacking access to solutions and communities trying to contribute from decentralized, human-focused environments, are crucial. We believe it is key to include them in this process, listen to them, give them a platform, and make them part of the solution. Elevating everyday educators and learning from them will be fundamental to our collective success.

    Count on the APRENDO team to support this initiative, as our community is ready to contribute to the proposal and the movement to bring social impact to the forefront. I strongly support this proposal and see a natural synergy with our project.

     
     
     
     

  • 0
    user-icon
    Gombilla
    Jun 10, 2024 | 10:11 AM

    Overall

    5

    • Feasibility 4
    • Viability 5
    • Desirabilty 5
    • Usefulness 5
    Strengthen SNET reputation as socially responsible

    Well first off for me, I would start by saying that achieving a consensus on what constitutes "social good" in the AI context can be challenging due to diverse opinions and perspectives. Well, the team might have to address this subjectivity in due course. 

    However, I would say that this RFP directly addresses social issues and promotes the use of AI for public good, aligning with broader societal values and ethical standards. Additionally, this RFP has the potential to strengthens SingularityNET’s reputation as a socially responsible organization committed to leveraging technology for positive change,. Good luck to the team !

  • 0
    user-icon
    Max1524
    Jun 10, 2024 | 8:41 AM

    Overall

    5

    • Feasibility 5
    • Viability 4
    • Desirabilty 5
    • Usefulness 5
    Commendable for the detailed proposal

    Identifying and tracking social benefits in AI projects is a must. Obviously AI projects should closely follow human life as it adjusts to real human life in society. I really like the 4 milestones because of their clarity. Commendable to the team and project owner VanCardui.

  • 0
    user-icon
    Marta Lenartowicz
    Jun 10, 2024 | 8:33 AM

    Overall

    5

    • Feasibility 5
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    Social good should be key in all projects!

    I love the move of introducing social good to the picture, but I have a sense that it shouldn\'t be a project category - it should be an evaluation criterion for all projects... Maybe the RFP that will come out of this at the current stage should ask for proposals on how to make all SNET projects reliably contribute to social good? I would like that...

  • 0
    user-icon
    Onize Olie
    Jun 10, 2024 | 7:27 AM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 5
    • Usefulness 5
    Community-Driven RFP for AI Social Good

    This Project stands out to me because: 

    Strong focus on community engagement: The project emphasizes involving a wide range of stakeholders in defining "social good" and designing the RFP, which increases the likelihood of creating criteria that are relevant and applicable to the community.

    Experienced team with diverse skills: The team members have a mix of skills and experience in SingularityNET and other ecosystems, enabling them to effectively collaborate and engage with a broad network.

    Well-defined methodology: The proposal outlines a clear step-by-step plan, including initial discussions, documentation, community engagement, drafting criteria, workshops, and retrospectives. This systematic approach enhances the project's feasibility.

    Addressing potential challenges: The proposal acknowledges potential issues, such as barriers to participation and the need for diverse perspectives, and outlines strategies to address them.

    Commitment to inclusivity: The project aims to be inclusive by considering various approaches to defining and measuring social good, translating key materials, and actively seeking input from individuals with lived experience.

    Focus on practical application: The proposal emphasizes enabling new practical AI applications for social good, suggesting a focus on tangible outcomes and real-world impact.

    Retrospective analysis: The inclusion of a retrospective analysis after Deep Funding Round 5 demonstrates a commitment to evaluating the RFP's effectiveness and making improvements, contributing to the project's long-term viability.

    The project's emphasis on community involvement, a well-defined methodology, and a focus on practical applications contribute to its feasibility and viability.

  • 0
    user-icon
    Duke Peter
    Jun 9, 2024 | 11:19 PM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 5
    • Usefulness 5
    Using AI for Social Good.

    This will spur more people to use AI to better society and also make a significant influence on builders, developers and managers to leverage artificial intelligence for the good of humanity. I am on board this and believe it is the necessary influence we need in the SNET community. Vani, best of luck to you and the team on this!

  • 0
    user-icon
    guillermo_lucero
    Jun 9, 2024 | 1:33 PM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 5
    • Usefulness 5
    Excellent proposal, AI for social good, YES!

    The idea of ​​using AI for the common good and benefiting societies is a comprehensive way to visualize the application of technology for the common good. The proposal is excellent and aims to positively impact society, double value. I would like to see more proposals like this in future rounds. I see a lot of potential in the concept, enormous capacity in the team and a huge future of potential positive impact on the communities.

  • 0
    user-icon
    Ayo OluAyoola
    Jun 8, 2024 | 9:55 AM

    Overall

    5

    • Feasibility 5
    • Viability 4
    • Desirabilty 5
    • Usefulness 4
    All The Things We Do For Social Good

    This project aims to define and support AI projects that prioritize social good, aligning with the mission of SingularityNET and similar platforms. It's seeking to focus on inclusive community engagement and thorough documentation makes it very desirable and valuable. The experienced team and detailed plan ensure feasibility, while the potential for ongoing community interest supports long-term viability. The project's success will hinge on active participation and sustained funding, but its thoughtful approach and alignment with current AI ethics trends bode well. Overall, I like the Q&A build up by which the proposer attends to the case of socially impactful AI projects.

  • 0
    user-icon
    Tu Nguyen
    Jun 3, 2024 | 8:20 AM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 4
    • Usefulness 5
    RFP For Social Good

    This proposal will address the challenges of identifying and tracking societal benefits in AI projects. This is clearly an issue that many people are concerned about. This proposal has provided a quite detailed and reasonable solution. The content is presented clearly.

  • 0
    user-icon
    CLEMENT
    Jun 1, 2024 | 1:53 PM

    Overall

    5

    • Feasibility 5
    • Viability 4
    • Desirabilty 5
    • Usefulness 5
    This aligns AI development with social values

    Hello Vani. I would like to sincerely commend you for this well thought initiative. I am also happy that you have got a small but strong and focused team behind this proposal and I can attest to their reputation. 

    I believe this initiative will address the growing recognition of the importance of social impact and ethical considerations in AI development. Additionally, within the SNET community, this RFP for Social Good contributes by promoting inclusivity and diversity, attracting new participants who are passionate about leveraging AI for social impact.

    Kudos to your team !

  • 0
    user-icon
    Joseph Gastoni
    May 22, 2024 | 9:01 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 3
    • Usefulness 5
    a process for creating a Deep Funding RFP

    This proposal outlines a process for creating a Deep Funding RFP focused on social good AI projects. Here's a breakdown of its strengths and weaknesses:

    Feasibility:

    • High: The core activities (community discussions, drafting the RFP) are feasible with a well-defined plan and resources for outreach.
      • Strengths: Leverages existing communication channels and online collaboration tools.
      • Weaknesses: Securing broad community engagement and ensuring diverse perspectives could be more challenging than anticipated.

    Viability:

    • Moderate: Success depends on the effectiveness of the community engagement process and the relevance of the final RFP.
      • Strengths: The proposal offers a potentially valuable approach to attract new participants and support impactful projects.
      • Weaknesses: The proposal lacks details on how the effectiveness of the RFP will be measured and how it will be integrated into the Deep Funding process.

    Desirability:

    • Moderate-High: For community members interested in social good applications of AI, this could be desirable.
      • Strengths: The proposal offers a chance to shape the direction of Deep Funding and support projects with a positive social impact.
      • Weaknesses: The proposal needs to address potential concerns about the time commitment required for participation and the influence non-experts might have on the RFP.

    Usefulness:

    • Moderate-High: The project has the potential to increase the focus on social good within Deep Funding, but its impact depends on the quality of the community discussions, the final RFP, and the proposals it attracts.
      • Strengths: The proposal offers a way to define social good in the context of Deep Funding, encourage new proposals, and potentially lead to impactful AI applications.
      • Weaknesses: The proposal lacks details on how the social impact of funded projects will be evaluated and ensured.

    Overall, this proposal has a creative approach, but focus on:

    • Community Engagement Strategy: Developing a clear plan to reach diverse stakeholders within the SingularityNET community and beyond.
    • Accessibility and Inclusivity: Ensuring the discussions and materials are accessible to people with varying technical backgrounds and experiences.
    • Facilitation and Moderation: Including experienced facilitators to guide discussions and ensure all voices are heard.
    • Metrics for Success: Defining clear metrics to measure the effectiveness of the community engagement process and the social impact of the resulting RFP.
    • Integration with Deep Funding: Developing a plan for how the RFP will be integrated into the Deep Funding process, including proposal review and evaluation criteria.

    By addressing these considerations, this "Social Good AI RFP" project can increase its chances of success and contribute to a more impactful Deep Funding program.

    Here are some strengths of this project:

    • Focuses on a critical aspect of Deep Funding - the social good dimension of AI projects.
    • Proposes an inclusive community engagement process to define social good and shape the RFP.
    • Acknowledges limitations of existing models (e.g., UN SDGs) and seeks a more tailored approach.

  • 0
    user-icon
    inesgav
    May 21, 2024 | 4:28 PM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 5
    • Usefulness 5
    Starting Point to Create Socially-Driven AI

    I especially like this proposal because it works on asking what "the common good" is instead of simply taking it for granted and creating a unilateral dynamic where the organization that helps is all-powerful and the social sector that is helped is in total vulnerability. I have many years of experience working in social organizations in LATAM and I have encountered many challenges of this type; Organizations that work with social aid in this authoritarian way do not end up helping anyone. That's why this proposal seems so wonderful to me. And, it is true that in the Deep Funding Community there has been a lot of talk about working on a "Social Good" Category; Funding this RFP design proposal with a social development objective can be an exceptional starting point to work on that concern that we all have; How do we build social dynamics through AI. Great project, design proposal, and a super-experienced and talented team! Vanessa Cardui is a top-level professional. Congratulations on this wonderful proposal!!

  • 0
    user-icon
    Devbasrahtop
    May 20, 2024 | 1:13 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 5
    • Usefulness 4
    Facilitating Social Good by leveraging AGI

    Overall

    In line with Deep Funding's goal of promoting beneficial AI, this proposal seeks to establish a Request for Proposals (RFP) centered on AI initiatives for social good. The plan is strengthened by the emphasis on comprehensive documentation, varied feedback, and community engagement. On the other hand, there is a need for improvement in some areas, like accurate risk management and budget allocation.

    Feasibility

    The plan for involving stakeholders, recording insights, and creating the RFP is outlined in the proposal in an understandable and organized manner. The project's viability is bolstered by the team's wide range of expertise and vast network across SingularityNET and other groups. The strategy incorporates a variety of interaction strategies, which is essential for gathering extensive community feedback. The budget allotted for the first engagement, nevertheless, appears excessive and may use further explanation.

    Viability

    The proposed project has strong potential to attract diverse and impactful AI projects focused on social good. The iterative process of drafting, reviewing, and finalizing the RFP, along with the inclusion of community feedback, enhances its viability. The project’s success relies on effective community outreach and engagement, which the team appears well-equipped to handle. However, the long-term impact and sustainability of the proposed RFP beyond the initial funding round need more clarity.

    Desirability

    There is a significant demand for AI projects that prioritize social good, making this proposal highly desirable. By facilitating community-wide conversations and incorporating diverse perspectives, the project aims to create an inclusive and relevant RFP. This aligns with the values of SingularityNET and could lead to innovative applications of AI that address pressing social issues.

    Usefulness

    The project's emphasis on developing an RFP for AI initiatives that benefit society is really beneficial. It fills a vacuum in the present financing landscape by putting the social and ethical aspects of AI development front and center. Both other organizations seeking to sponsor socially meaningful AI research and future funding rounds will find great value in the thorough documentation and transparent procedure.

Summary

Overall Community

4.8

from 13 reviews
  • 5
    11
  • 4
    2
  • 3
    0
  • 2
    0
  • 1
    0

Feasibility

4.8

from 13 reviews

Viability

4.5

from 13 reviews

Desirabilty

4.7

from 13 reviews

Usefulness

4.8

from 13 reviews

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