Ocean deliverables Round 21

Stories of AI Outreach

• Content creation: User friendly 4x 4min video tutorials and short blog posts
• 1 Overview of Ocean, url:
• https://www.loom.com/share/76ad66aa38304de4b70e2669079b634e
• https://medium.com/@silentspring30/could-communities-reduce-bias-in-ai-by-selling-data-on-ocean-and-getting-remunerated-for-it-4b4b6969fefa

UPDATE on time spent:

• In preparation to reaching out to AI communities on Twitter, I had to be prepared for questions and since I'm new to OCEAN and decentralized AI safety. I spent time researching and reading articles on AI safety, Ethics and decentralization (Contributed to workshop paper that is currently in review, will update the link once paper is approved). I also realized that I had to frame the outreach differently, since it could come potentially could come across as a web3scam (When I started to reach out, I got some mixed feedback from respondents).

• Based on these insights, I reframed my main article as: Could-communities-reduce-bias-in-AI-by-selling-data-on-Ocean-and-getting-remunerated-for-it? rather then "How to use less gas fees on Ocean".

  • Researched decentralized AI and Safety, and focused on how to mitigate AI bias. Biggest questions here to explore AI development, Data collection, How to mitigate data bias. I developed my main argument here that Ocean marketplace could allow the decentralization of data and give transparency in mitigatig bias.
  • Researched how to potentially onboard AI communities to data trusts, e.g. Datatrusts and how the onboarding would work. Biggest questions where in how to agree on a data privacy framework.
  • Researched how and where the data would be residing e.g. AWS or IFPS? How is security ensured?
  • Review current dialogue of minority AI groups: e.g. DAIR, AI groups re Web3 and biggest topics. E.g. Data bias and concerns of exploitation data labellers. Set up twitter profile and started following conversations.

• Tutorials: I researched what kind of Ocean tutorials are currently available and decided on framing the tutorial based on how to mitigate databias, decentralization and shorter format (<5min).

• Researched Ocean Market, Researched Ocean Compute-to-Data.

• I also had to set up my Metamask for testing: How to get set up on Goerli and get test tokens Ether and OCEAN.

  • 2 Ocean Academy and courses: Ocean 101, url:

  • https://medium.com/@silentspring30/learning-about-the-data-economy-data-selling-decentralized-finance-defi-at-ocean-academy-for-5d36a5b73c51

  • 3 “How to upload data on Ocean with less gas fees” url:

  • https://medium.com/@silentspring30/could-communities-reduce-bias-in-ai-by-selling-data-on-ocean-and-getting-remunerated-for-it-4b4b6969fefa

  • 4 “Why and how to use compute over data on Ocean” url:

  • https://medium.com/@silentspring30/tutorial-how-to-publish-sell-a-dataset-privately-via-compute-over-data-on-ocean-marketplace-de6d12f72353

  • Shortlist 10 groups and engage e.g. Women in AI, Black in AI, DAIR and youth groups in AI.

  • https://docs.google.com/spreadsheets/d/1WtJ4KBp3Ew-FUD9ZypMEaiRLNG1B4mgaWXkiz_3YOFQ/edit?usp=sharing

• Engage with communities on twitter, discord and telegram.

• I spent time reading the conversations and topics. I am also new to Twitter and needed to get familiar with the format first.

• Next steps: I am planning to share a twitter tweet in for next week 13/10/2022.

• Share tutorials and blogs with communities and/or host 20min online sessions with groups.

  • Not yet, due to the reasons above I was slightly hesitant how to approach them.
  • Next steps, share tutorials Monday 10/10/2022 and get feeback.

• Engage with 5 groups. I only engaged with some AI individuals. However their feedback was very skeptical, there seems to be a lot of caution from the AI community towards web3. This needs to be researched further. By reading the tweets and blogs, there seems to be a lot of mistrusts towards web3 and Silicon valley.

• Next steps, start engaging with 5 groups and gather feedback 17/10/2022.

• Conduct qualitative user research on “barriers to selling data and algorithms” and “community approach on selling data”.

• I conducted 3 user interviews 1:1, with general people and AI experts. Everyday people seemed not to concerned about their data, they used: Google Home, Shazaam, Amazon and Google documents and it didn't occur to them yet that they could sell their data and get remunerated for it.

• I think the biggest concerns/questions were around general data selling privacy issues and how to get learn about blockchain, e.g. Metamask.

• AI experts were open to the idea of data selling but didn't trust blockchain/web3.

• Next steps, send out research questionaire for AI experts and 17/10/2022 and gather feedback

Value Add Criteria We believe that AI can solve humanity's biggest obstacles, however communities need to be aware of how to collect, share meaningful data to train AI models. This new outreach proposal will drive forward awareness for co-designing data collection and how to leverage Ocean market. a. Usage of Ocean

This project will drive awareness about data monetization strategies of Ocean market to diverse AI communities beyond web3.

Outreach
Content creation for education
Simple Guides
Community discussions

b. Viability — what is the chance of success of the project?

Silentspring30 is a design-led AI product manager with over 10 years of experience in product development, community engagement and is currently a fastai student. Silentspring30 leads stories_for_ai, a squad of Algovera and has received one grant for development work of a Decentralized AI DAO framework.

She previously led tido London a product development group based on technology standard called Solid [socially linked data]. Solid allows the storage of data in personal data pods [https://solidproject.org].

c. Community active-ness — how active is the team in the community?

Stories_of_ai is actively looking for a purpose to be active in the Ocean community and to contribute with research and community engagement beyond web3.

d. Adding value to the community — how well does the outcome of the project add value to the overall Ocean community / ecosystem? 

We believe that increased awareness, research and tutorial content will create added value to the Ocean community.