Please describe your proposed solution

Solution Backdrop:

Consistent awareness growth of Cardano is most effective when collaborating with quality partners. Quality partners always have a multiplier effect.

This is proven by our funded theory in the form of a Fund10 proposal in collaboration with one of the top three universities in Indonesia, Gadjah Mada University.

<u>One result from the above</u> is a Fund13 joint proposal to integrate Generative AI and Cardano to UGM’s indigenous ventilator that has sales of $600.000 to $1.700.000 and is currently being offered and distributed to Japan through Adex Aile Co.,Ltd. Japan.

<u>C3ETH </u><u>(Eastern Town Hall)</u><u> Indonesia now brings:</u>

1. Proof-of-Integrity, an algorithm where the main function is to assess each point of data target and aggregate them through multiple data analysis nodes to ensure aggregated data results have minimum lean towards hallucination or bias free. This algorithm is already in use by this following start-up
2. Proof-of-Integrity has corroborate findings in further detail by a Decentralized Funding platform, in this instance Project Catalyst, which has identified numerous malpractices in their Community Reviewer processes in the form of AI abuse and multiple accounts creation for rewards farming. This algorithm detailed findings of abuse; both AI generated &amp; multiple accounts can be found here (if your Community Reviewer ID is in the documents and you feel you have not done any wrongdoing, feel free to contact us)
3. Proof-of-Integrity redacted findings and modus operandi has been discussed within the community as a sign of good faith and fair warning that there are active independent efforts to gauge the integrity and health within the Project Catalyst processes. This algorithm and it's finding has been discussed in this workshop

Proposed Solution:

Develop an aggregated GenAI Architecture which will adopt SMPC Technology and display it to Decentralized Funding platforms such as Project Catalyst to allow them to choose to integrate it as part of their processes. Specifically the process of Proposal and Community Reviewer assessment including assessing Community Reviewer malpractice of reward farming and multiple accounts.

<u>The research and development of the Minimum Loveable Product </u><u>(MLP)</u><u> consists:</u>

1. Identify and mapping user pain points of Proposer and Community Reviewer processes in the current system
2. Gathered Proposal and Community Reviewer data from Fund1 to Fund10. At the minimum Fund9 for initial assessment indicates this fund is the tipping point prior to mass gaming of Decentralized Funding platforms
3. Development of the content assessment model
4. Development of the GenAI and SMPC Layer 2 Architecture base design
5. Integrate the content assessment model to the GenAI and SMPC Aggregated Layer 2 Architecture
6. Development of an aggregated visualization of the assessments into a web apps and can be integrated to Decentralized Funding platforms such as Project Catalyst if chosen to do so or if it fits their development roadmap

Proposed Solution Core Algo Visualization:

Shown in image below our Proof-of-Integrity algo flow

Proposed Solution Integration with Catalyst Processes Visualization:

Shown in image below our Proof-of-Integrity algo flow that goes beyond the existing Catalyst assessment metrics which are; "Similarity, Profanity and Use of AI".

• There are 5 (five) processes that will finally lead to insights that need to be verified by Reviewers
• <u>Proof-of-Integrity assessment metrics are; "Similarity, AI Generated Proposal, Probability Nesting Reviewer, Irrelevant Proposal Development, Irrelevant Intention Review/Rationale"</u>. This can be seen in the "Proof-of-Integrity Aggregate Assessment" section
• Reviewers are guided and educated the reason and process a specific review has been flagged. This can be seen in the "Verified Aggregated Insight" section

Please define the positive impact your project will have on the wider Cardano community

Projects impact in terms of proven solution

Shown in image below our Proof-of-Integrity algo is able to automatically detect (have intentionally censored the Community Reviewer ID in question - can be viewed in the Google link above):

• Similarity between various reviewers on a specific proposal
• Determine they are either using AI generated reviews -or-
• Determine they are nest reviewers (reviewer's with multiple accounts)

Shown in image below our Proof-of-Integrity algo is able to automatically detect (have intentionally censored the Community Reviewer ID in question - can be viewed in the Google link above):

• Similarity between rationales cross fund
• Determine they are copy pasting past reviewer works -or-
• Determine they are nest reviewers (reviewer's with multiple accounts)

Shown in image below our Proof-of-Integrity algo is able to automatically detect (have intentionally censored the Community Reviewer ID in question - can be viewed in the Google link above):

• Correlation or not between rationale in the Impact /Feasibility/Resource and scoring chosen by reviewer
• Correlation or not between proposal content and the rationale by reviewer
• Determine they are either using AI generated reviews -or-
• Determine they are negligent/low quality reviewers

Projects impact in terms of awareness

• Increase awareness of that Cardano’s decentralized governance or at the very least its decentralized funding platform is utilizing Responsible AI practices therefore further enhancing and signaling to other ecosystem of Cardano’s forward thinking and inclusiveness
• Increased awareness of potential technology adoption in relevance to responsible and ethical Digital Transformation Pathway

Projects impact in terms of adoption

• Increase further adoption/participation in Project Catalyst through the use of Responsible AI practices which will ensure the community on the trust and integrity of the processes involved

Projects impact in terms of collaboration

• [SHORT TERM] Proof-of-concept can be chosen to be integrated by Project Catalyst to ensure trust and integrity of its assessment processes
• [MID TERM] <u>Proof-of-concept can be chosen to be integrated by any decentralized funding platform such as DeepFunding</u>
• [LONG TERM] Proof-of-concept can be chosen to be integrated as a part of Cardano decentralized governance as an effort of being proactive and preemptive cautionary action towards the potential abuse of AI

What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?

Project team’s capabilities and achievements:

1. Sonny Dhamayana, S.T., CSM., CAIML., PGAIDL, as a practitioner in the field of AI and blockchain who has created various AI and blockchain solutions which can be traced through his selected public profile here.
2. Sonny Dhamayana, S.T., CSM., CAIML., PGAIDL as a practitioner has also launched the following start-up that uses his AI in this following website.

Project team’s feasibility:

1. Proof-of-Integrity in its own right is an algorithm that has been developed and researched for years and intended for other use cases which is already being used by this start-up here. Designed to be modular, Proof-of-Integrity can be adjusted to target specific situations. Learn more about the Proof-of-Integrity process here.
2. C3ETH - Catalyst School: Chapter Indonesia in collab with Gadjah Mada University fully detailed and transparent Project Management documents here.

What are the key milestones you need to achieve in order to complete your project successfully?

Milestone 1: Milestone 1 - Foundation and Plannings with action plans;

1. <u>Week 1-2:</u>
2. Reassess project scope and objectives:
3. Ensuring key messages intended to conveyed by all partners
4. Ensuring outcomes intended by all partners
5. Ensuring copyright and data shared protection agreement between all partners
6. Ensuring point of agreement on the gathered data survey to be demonstrated on the Minimum Loveable Product (MLP)
7. Ensuring agreement of PIC and allocated work distribution
8. Defined and develop agreement documents as part of the project scope assessment and objectives
9. Zoom coordination with joint partners
10. <u>Week 3-4:</u>
11. Formalize agreements with joint partners
12. Recruit development supporting teams:
13. Data analyst
14. AI and blockchain developer
15. Full stack developer

Milestone 2: Milestone 2: Implementation and Baseline Proposal and Community Reviewer Data Gathering;

1. <u>Week 1-2:</u>
2. Launch community research
3. Baseline survey on proposal and community reviewer data gathering
4. Perform analysis of the survey result
5. Develop analysis report as part of MLP baseline references
6. <u>Week 3-4:</u>
7. Launch proposal and community reviewer data analytic
8. Data gathering actions consists of:
9. Collect data from IdeaScale proposal specifically Fund9
10. Collect data from all Community Reviewer levels
11. Develop preliminary correlation analysis report with simple model analysis

Milestone 3: Milestone 3: Document Assessment Model Design and Development;

1. <u>Week 1-4:</u>
2. Design, model learning &amp; testing GenAI document assessment algorithm for IdeaScale Proposal
3. Design, model learning &amp; testing GenAI document assessment algorithm for all the Community Reviewer levels
4. Testing preliminary designed algorithm model with preliminary data collected in Milestones 2

Milestone 4: Milestone 4: GenAI and SMPC Aggregated Architecture Development;

1. <u>Week 1-4:</u>
2. Perform simulation testing of Proposal and Community Reviewer integrity
3. Gather data for trial model aggregated analysis
4. Develop cross functional check report of data gathered with several selected models

Milestone 5: Milestone 5: Development of Gen AI and SMPC Aggregated Dashboard Apps;

1. <u>Week 1-4:</u>
2. Development of GenAI and SMPC dashboard apps with aggregated results/analysis of the Proposal and Community Reviewer integrity
3. Functional test of generated HyperParameter tuning
4. Develop web browser in the form of a monitoring dashboard

Final Milestone: Milestone 6: Integration and Full Function Test;

1. <u>Week 1-4:</u>
2. Integration of Gen AI and SMPC aggregated data through multi-nodes assessment module
3. Functional test of aggregated data analysis results to be distributed to the decentralized storage in test production networks
4. Log generated reports for further smart contract development
5. Conduct full function test
6. Formulate and submit Close-out Report and Video

Who is in the project team and what are their roles?

Project Oversight Board:

1. Sonny Dhamayana, S.T., CSM., CAIML., PGAIDL - Registered Certified Professional Blockchain Developer as Project Lead | Public profile here

Project Operational Head:

1. Sonny Dhamayana, S.T., CSM., CAIML., PGAIDL - Registered Certified Professional Blockchain Developer as <u>Project Lead</u> | Public profile here
2. Yan Tirta - Co-initiator of Eastern Town Hall, Catalyst School Indonesia and Gimbalabs Indonesia as <u>Project Management</u> | LinkedIn profile here

Project Operational Assistant:

1. M.F. Fajar Ramadhan S.H. - Electronic Instrumentation Practicum Assistant Professor and Certified CDA &amp; CDP from Emurgo Academy as <u>Project Technical Support</u> | LinkedIn profile here
2. Ari Sidharta - Blockchain and Full Stack Developer as <u>Project Technical Support</u> | LinkedIn profile here

Project Operations Ad Hoc:

1. Andy Sibuea - Community comms/Translator as <u>Project Operations Team</u>
2. Linh Pham - Community comms/Translator as <u>Project Operations Team</u>
3. Yuta - Community comms/Translator as <u>Project Operations Team</u>

Please provide a cost breakdown of the proposed work and resources

Milestone 1 - Foundation and Plannings appointed PIC: (refer full action plan in the in the “Project Milestone” section)

1. Coordination meetings with all partners with PIC:
2. Project Operational Head, Project Operational Assistant
3. Define and develop agreement documents as part project scope assessment and objectives with all partners with PIC:
4. Project Operational Head, Project Operational Assistant
5. <u>Total budget and breakdown for Milestone 1: $3.465</u>
6. Project Lead (monthly) | $1.188
7. Project Operational Assistant (monthly) @2 | $1.287
8. Project Management (monthly) | $990

Milestone 2: Implementation and Baseline Proposal and Community Reviewer Data Gathering appointed PIC: (refer full action plan in the in the “Project Milestone” section)

1. Coordination meetings with all partners with PIC:
2. Project Operational Head, Project Operational Assistant
3. Launch community research with PIC:
4. Project Operational Head, Project Operational Assistant
5. Baseline survey on proposal and community reviewer data gathering with PIC:
6. Project Operational Head, Project Operational Assistant
7. Perform analysis of the survey result with PIC:
8. Project Operational Head, Project Operational Assistant
9. Develop Analysis Report as part of MVP baseline references with PIC:
10. Project Operational Head, Project Operational Assistant
11. Collect data from IdeaScale proposal specifically Fund9 with PIC:
12. Project Operational Head, Project Operational Assistant
13. Collect data from all Community Reviewer levels with PIC:
14. Project Operational Head, Project Operational Assistant
15. Develop Preliminary Correlation Analysis Report with simple model analysis with PIC:
16. Project Operational Head, Project Operational Assistant
17. Communication of milestone achievement to respective community with PIC:
18. Project Operations Team
19. <u>Total budget and breakdown for Milestone 2: $4.455</u>
20. Project Operations Team (ad hoc) @3 | $990
21. Project Lead (monthly) | $1.188
22. Project Operational Assistant (monthly) @2 | $1.287
23. Project Management (monthly) | $990

Milestone 3: Document Assessment Model Design and Development appointed PIC: (refer full action plan in the in the “Project Milestone” section)

1. Coordination meetings with all partners with PIC:
2. Project Operational Head, Project Operational Assistant
3. Design, model learning and testing GenAI document assessment algorithm for IdeaScale Proposal with PIC:
4. Project Operational Head, Project Operational Assistant
5. Design, model learning and testing GenAI document assessment algorithm for all Community Reviewer levels with PIC:
6. Project Operational Head, Project Operational Assistant
7. Testing Preliminary Designed selected algorithm model with preliminary data collected in Milestones 2 with PIC:
8. Project Operational Head, Project Operational Assistant
9. <u>Total budget and breakdown for Milestone 3: $3.465</u>
10. Project Lead (monthly) | $1.188
11. Project Operational Assistant (monthly) @2 | $1.287
12. Project Management (monthly) | $990

Milestone 4: GenAI and SMPC Aggregated Architecture Development appointed PIC: (refer full action plan in the in the “Project Milestone” section)

1. Coordination meetings with all partners with PIC:
2. Project Operational Head, Project Operational Assistant
3. Perform simulation testing of Proposal and Community Reviewer integrity with PIC:
4. Project Operational Head, Project Operational Assistant
5. Gather data for trial model aggregated analysis with PIC:
6. Project Operational Head, Project Operational Assistant
7. Develop cross functional check report of data gathered with several selected models with PIC:
8. Project Operational Head, Project Operational Assistant
9. Communication of milestone achievement to respective community with PIC:
10. Project Operations Team
11. <u>Total budget and breakdown for Milestone 4: $4.455</u>
12. Project Operations Team (ad hoc) @3 | $990
13. Project Lead (monthly) | $1.188
14. Project Operational Assistant (monthly) @2 | $1.287
15. Project Management (monthly) | $990

Milestone 5: Development of Gen AI and SMPC Aggregated Dashboard Apps appointed PIC: (refer full action plan in the in the “Project Milestone” section)

1. Coordination meetings with all partners with PIC:
2. Project Operational Head, Project Operational Assistant
3. Development of GenAI and SMPC dashboard apps with aggregated results/analysis of the Proposal and Community Reviewer integrity with PIC:
4. Project Operational Head, Project Operational Assistant
5. Functional test of generated HyperParameter tuning with PIC:
6. Project Operational Head, Project Operational Assistant
7. Develop web browser in the form of a monitoring dashboard with PIC:
8. Project Operational Head, Project Operational Assistant
9. <u>Total budget and breakdown for Milestone 5: $3.465</u>
10. Project Lead (monthly) | $1.188
11. Project Operational Assistant (monthly) @2 | $1.287
12. Project Management (monthly) | $990

Milestone 6: Integration and Full Function Test: (refer full action plan in the in the “Project Milestone” section)

1. Coordination meetings with all partners with PIC:
2. Project Operational Head, Project Operational Assistant
3. Integration of Gen AI and SMPC aggregated data through multi-nodes assessment module with PIC:
4. Project Operational Head, Project Operational Assistant
5. Functional test of aggregated data analysis results to be distributed to the decentralized storage in test production networks with PIC:
6. Project Operational Head, Project Operational Assistant
7. Conduct full function test with PIC:
8. Project Operational Head, Project Operational Assistant
9. Communication of milestone achievement to respective community with PIC:
10. Project Operations Team
11. Formulate and submit Close-out Report and Video with PIC:
12. Project Operational Head
13. <u>Total budget and breakdown for Milestone 6: $4.455</u>
14. Project Operations Team (ad hoc) @3 | $990
15. Project Lead (monthly) | $1.188
16. Project Operational Assistant (monthly) @2 | $1.287
17. Project Management (monthly) | $990

Total Budget and Cost: $23.760 (rupiah to dollar rate of $0.000066)

Total Ask in ADA (at anticipative rate of 0.32): ₳74.250

Dependencies with Project Catalyst IdeaScale proposal data and all Community reviewer data with specific targeted fund, Fund9. Reason being Fund9 has been identified as the tipping point of AI abuse. As part of Responsible AI, all detailed credential information will be masked.

How does the cost of the project represent value for money for the Cardano ecosystem?

In terms of direct budget safeguarding and optimizations:

1. By funding this team you have directly contributed to increasing the integrity of Project Catalyst by <u>adding a layer of deterrence towards abuse of AI taking shape in identifying and multilayer vetting of reviewers</u> created by AI and in the future vetting of proposals.
2. By funding this team with their proposal you have directly contributed to<u> safeguarding Project Catalyst treasury from malpractice taking shape in reviewers with multiple accounts and abuse of AI</u> with ill intent to purely raid our treasury.
3. Having more robust safeguarding measures allows further trust on the integrity of Project Catalyst processes which can entice more quality collaborators outside the ecosystem.

In terms of budget asked comparison:

1. Eastern Town Hall Indonesia’s Catalyst School Indonesia proposal in collaboration with Gadjah Mada University which asked funding of ₳23.421,00 (at anticipative rate of 0.29) resulted to having a discussion to submit a collaborative proposal for their ventilator project mentioned as as per “Solution Backdrop” section.
2. “Project Catalyst with Proof-of-Integrity Algo Integration” which is asking funding of ₳74.250 will further strengthen the integrity of the processes involved in Catalyst and secure Catalyst funds from further exploit. Our algo in the previous fund, through only a small sample was able to detect potential fraudulent reviewers that has cost the community ₳60.000 to ₳100.000. Given free reign, we are confident we can save more.
3. <u>Indeed Project Catalyst has enlisted third-party services for Community Reviewer validation though that is more of a short-term solution for AI has been able to nullify such service</u><u>s</u>. A predicament that is currently plaguing exchanges as reported here. In fact, if recalled correctly the current third-party services in use by Project Catalyst is the same services that Bybit is using, where it has been nullified by AI. Hence the importance of this proposal with our Proof-of-Integrity algo in all three projections; short-term, mid-term and long term will be definitely cost effective.

In terms value of workforce to projected output:

1. Lowest minimum wage for US citizens is USD $7.25 per hour under the same assumption same work hours of their Indonesian counterparts = USD $1.334 per month = IDR 20.276.800 per month or 4X that of Jakarta's and 10.6X of Jogjakarta (this is not considering Jakarta is the second highest minimum wage in Indonesia)
2. Lowest minimum wage for EU citizens is €399 under the same assumption same work hours of their Indonesian counterparts = USD $437,66 per month = IDR 6.652.432 per month or 1.35X that of Jakarta's and 3.5X of Jogjakarta (this is not considering Jakarta is the second highest minimum wage in Indonesia)