Create Decentralized and Trustworthy AI enabled by Polkadot.md

Decentralized and Trustworthy AI enabled by Polkadot.md

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+# Enabling Decentralized and Trustworthy AI Services on Polkadot Blockchain
+
+- **Team Name:** AI + Blockchain on Polkadot
+- **Payment Address:** 0x9f50E023606420050b8BCe7d9100C7924e88dAB6
+- **[Level](https://github.com/w3f/Grants-Program/tree/master#level_slider-levels):** 2
+
+
+### Overview
+With the rapid development of AI, there are also rising issues, concerns and risks of centralized AI made and controlled by few tech giants in private. Therefore we believe the future of AI should be decentralized on blockchain to be transparent, democratic and reliable with public contributions and consensus. Blockchain can help AI have healthy, accountable and sustainable development in the long term. 
+
+By combining Polkadot blockchain with AI, our project applies the decentralization of Polkadot blockchain to make AI services trustworthy. With Polkadot blockchain, we enable users to trace and protect the usage of their personal data in AI in a privacy-preserving way, and they can self-verify the whole process and results of their AI services to ensure their compliance and correctness. 
+
+We also enable AI services to open the modeling and training of their AI for everyone in public to freely and equally improve and contribute including data, algorithms and computation power. All contributors can get corresponding returns according to their contributions to the earnings of those AI services, so the development of AI could become much faster, better and safer.
+
+
+### Project Details
+
+**Project Design:**
+
+Specifically our project is divided into two parts. One part is to make AI trustworthy by protecting the privacy of personal data used for AI, tracing the source and usage of data in AI. We also enable AI services to become more transparent by opening their running process so people can self-verify the correctness and compliance of their computation results. 
+
+Another part is to make AI more cooperative in public. Others can freely and equally contribute to AI and blockchain will record their contributions and distribute corresponding returns as incentives via tokens. Everyone can upload their privacy-preserving data for AI training, improve AI algorithms for modeling, and share their computing power for AI execution. As for the AI services involving public interests, everyone can also participant in their governance to reach consensus on their ethics, justice and inclusivity without bias or discrimination. 
+
+Both parts are interconnected for a better AI services with user network, online content and applications. With users, data and resources in the service, AI could be applied and used in online services and applications. After that it incurs more valuable data to make AI better for more usage and applications, forming a positive cycle.
+
+**Project Components:**
+
+We will use privacy-preserving techniques like zero knowledge proofs to protect the privacy of the data and model in AI while they are still traceable, verifiable, and trustworthy. We ensure the privacy of users will not be revealed when their personal data are used for AI modeling and training. Online services can also make their AI fully open-source or not reveal any parts in a privacy-preserving way. Even though they choose to not reveal their AI models, they can still self-prove their correctness, reliability, and compliance to everyone. Everyone can also adjust and improve them based on their running results to make them better.
+
+To address the bottlenecks of performance on blockchain, we will use the scaling techniques like layer 2 to put the huge workload of AI off-chain and raise the performance of blockchain. We also further optimize the allocation and distribution of AI resources and workload among all nodes on blockchain from data processing, AI modeling and training, to computation and execution.
+
+To give each participant and contributor corresponding returns according to the value they make, we will design an effective incentive mechanism to count and reward the contributions of everyone to the AI on blockchain including data sharing, improvement of algorithms, and computation power. The earnings of AI services will be tracked and distributed among all contributors according to the value of their contributions as incentives.
+
+In the project we will also provide the following deliverables:
+
+- MVP version with the source code of front-end, back-end and smart contract
+- Technical specifications with implementation details and parameters
+- Project documentation core components, protocols, and architecture 
+- Project research report with research paper and publications
+- High-fidelity Prototype with user-friendly interfaces 
+- Data models / API / SDK of the core functionality
+
+### Ecosystem Fit
+
+Our project can help Polkadot win a place in the coming era of AI. We will apply Polkadot blockchain into AI and also use AI to benefit the ecosystem of Polkadot. Specifically:
+
+Empowered by AI, users can get better blockchain services in Polkadot, and they can contribute to AI with their data under authorization, privacy protection and incentives to help improve AI with more qualified data as inputs to get better AI services. They can also self-verify the execution of AI algorithms to trust the results of AI services on Polkadot. 
+
+As for AI developers, everyone can help audit and improve AI algorithms like their modeling and training, and provide their computation resources to help run AI algorithms. Blockchain will track and record their contributions immutably. AI services will distribute their earnings with all contributors according to the value of their contributions to reward them corresponding returns fairly.  
+
+AI services can also open its development and improvement to all developers in public. In this way AI can be improved and developed better in higher efficiency, quality, equality and inclusivity. Everyone can freely and equally contribute to AI services with better algorithms and new computation resources. The earnings of AI services will be fairly distributed among all developers according to the value of their contributions.
+
+
+## Team :busts_in_silhouette:
+
+### Team members
+
+- Name of team leader: Blockchain Researcher and Entrepreneur Jel Yin
+- Names of team members: Blockhain Research Scientist Dr.Alex Liu and Vincent Liu, Blockchain Developer Myron Zhang
+
+### Contact
+
+- **Contact Name:** Jel Yin
+- **Contact Email:** [email protected]
+- **Personal Resume:** https://drive.google.com/file/d/1Vf_HWsW9nTqC_0cM23SrJTD6-AHqvrDG/view?usp=sharing 
+
+### Team's experience
+We are a highly collaborative, creative and productive team made up of talented entrepreneurs, innovative researchers and capable developers on blockchain and AI. We were classmates when we studied at CMU and teammates when we particpated in hackthons. We all have strong passion, great ambitions, and rich experiences on AI and Web3 entrepreneurship for a better future digital new cyberspace. We previously partnered to finish several industry projects on MEV and sharding together successfully.
+
+MEV project: https://drive.google.com/file/d/1HndMKl2LIIM-uCcjygpexDigRamKlM9W/view?usp=sharing
+
+Sharding project: https://drive.google.com/file/d/1qfXJbMMMOh37ALL-zeeYR2uH2dpKiTm-/view?usp=sharing
+
+## Development Status :open_book:
+
+We have finished our technical research with our research paper, and we have submitted it for publication in academic journals. We are also designing the technical solution of our project and developing a demo in Polkadot. Overview of our solution: https://drive.google.com/file/d/1EWbTAZN_3NaqhrQ0NhwqK8LsDWmkRRK6/view?usp=sharing
+
+## Development Roadmap :nut_and_bolt:
+
+### Overview
+
+- **Total Estimated Duration:** 7 months
+- **Full-Time Equivalent (FTE):**  2 FTE
+- **Total Costs:** $24,000
+
+### Milestone 1 Project Development 
+
+- **Estimated duration:** 3 months
+- **FTE:**  3
+- **Costs:** 6,000 USD
+
+| Number | Deliverable | Specification |
+| -----: | ----------- | ------------- |
+| **0a.** | Project source code | The open source code of our project |
+| **0b.** | Project documentation | The core components, protocols, and architecture of our project |
+| **0c.** | High-fidelity prototype | User-friendly interfaces and UI&UX design |
+| **0d.** | Project research report | In-depth theroetical analysis, and innovative solution on blocckhain and AI |
+
+### Milestone 2 Project Testing 
+
+- **Estimated Duration:** 2 months
+- **FTE:**  4
+- **Costs:** 8,000 USD
+
+| Number | Deliverable | Specification |
+| -----: | ----------- | ------------- |
+| **0a.** | Technical testing plan | The detailed parameters and arrangements of our technical testing on testnet |
+| **0b.** | User evaluation plan | Invite community users and business clients to use and give feedback |
+| **0c.** | Testing report | The actual execution results of our testing |
+| **0d.** | Improvement Analysis report | How to further improve our project to make it better according to our testing |
+
+### Milestone 3 Project Implementation 
+
+- **Estimated Duration:** 2 months
+- **FTE:**  5
+- **Costs:** 10,000 USD
+
+| Number | Deliverable | Specification |
+| -----: | ----------- | ------------- |
+| **0a.** | MVP | Release version of our project |
+| **0b.** | API / SDK | Open our project to third-party ecosystem partners and clients |
+| **0c.** | Use cases | The specific runnable AI applications in different fields of our project on blockchain including data, modelling and computation |
+| **0d.** | Development plan | The sustainable and continuous future development plan of our project in the long-term |
+
+
+## Future Plans
+
+- In the short term we will continue doing our research, improving our design, and developing the first version of our project until it's released.
+- In the long-term we will hire more talents to join, develop more use cases, build our ecosystem and better merge with Polkadot community.
+
+
+## Additional Information :heavy_plus_sign:
+
+We also gain support and guidance from industry partners and academic researchers on blockchain and AI from top universities and research centers. We have built several industry and research projects successfully on blockchain and AI. Our projects previously won the research grants from Ethereum Foundation, Ripple and Metagov.