AI Work powered by Blockchain
a marketplace of crowdsourced AI Human Experts to help create,
verify and validate AI data sets that make AI smarter
AIWORK is a decentralized, open-source blockchain protocol and ecosystem built on
a consensus network of Artificial Intelligence (AI) computing resources and a community of human experts,
used to generate normalized and enhanced metadata for video content.
How AIWORK Works
The AIWORK community will provide an open, distributed and crowd-sourced community for transcription and translation. Content owners and distributors in need of transcription and translation of their content will come into the open marketplace to transcribe and translate their content through AIWORK’s AI machine transcription and translation with distributed crowd-sourced computing resources combined with a crowd-sourced open community of transcribers and translators, all incentivized using the AIWORK Token.
AIWORK is built on a standard Ethereum blockchain as well as Plasma Network. All the video metadata will be anchored to Ethereum blockchain and Decentralized Applications (DApps) can easily access the data and either spend or earn AIWORK token
Attributes of AIWORK tokens:
- blockchain protocols: Ethereum (ETH) Mainnet & AIWORK Plasma Chain
- Token standard: ERC20
- Total supply: capped at 1 billion
- Token issuance at genesis: 60% of total supply
Challenge for AIWORK
The challenge for AIWORK is to decentralize operation of the AI and human expert community on top of a consensus protocol, so that all sorts of Decentralized Applications (DApps), whether free or commercial, can reap the benefits of the AIWORK protocol with much better metadata and ContentGraph.
AI JOB REQUESTORS
AI Job Requesters submit AI data jobs to the AIWORK Human Expert Network and pay AIWORK Tokens in exchange for the AI data work performed by AI Human Experts and validated by AI Validators. Therefore, one can think of AI Job Requestors as the Buyers in the AIWORK artificial intelligence ecosystem providing jobs and tasks that are fulfilled by AI Human Experts and validated by AI Validators.
AI HUMAN EXPERTS
AI Human Experts perform simple micro tasks to verify that the output from AI. AI Human Experts also provide additional metadata that cannot be easily generated by AI. Relevant results can be fed into the AI network to teach and improve it. AI Human Experts gain AIWORK token in exchange for well performed tasks, which must first be verified and validated by AI Validators.
AI Validators validate the work of AI Human Experts, staking AIWORK Token for the right to perform the validation tasks in accordance to consensus. AI Validator review the results submitted from AI Human Experts. An AI Validator may lose a portion of the staked tokens if they do not perform the tasks in accordance to consensus. AI Validator decides the next validator via psuedo-random algorithm.
AIWORK will open this blockchain protocol and ecosystem for use by third-parties, including content distributors, publishers and advertisers. This will help AIWORK achieve broad adoption and network effects benefiting all participants.
GLOBAL NETWORK OF AI HUMAN EXPERTS
AIWORK brings together a global network of crowdsourced AI Human Experts to help generate, verify and validate AI data sets. You can think of AIWORK as the “Uber” of AI.
AI MATCH VERIFICATION AND CORRECTION
AI is not perfect, and since faces and objects can look similar, there will always be misidentifications or “false positives.” Humans, while limited by speed and dataset, are still better at comparing and identifying faces and objects. Therefore, a hybrid approach of combining AI with human verification and correction is the most optimal way of achieving AI computer vision at scale and accuracy. AIWORK will provide AI match verification and correction through the AIWORK open community. Requesters such as AI technology providers and content owners, can use AIWORK to request AI match verification and correction on their AI generated datasets. They would then pay the AIWORK open community for this match verification and correction using AIWORK Tokens.
AI DECENTRALIZED DISTRIBUTED COMPUTING CLOUD
Although the power of AI is efficient and scalable, it still requires lots of computing power to process, recognition, match and tag content. One growing pain of AI is the lack of computing resources a company can have and utilize without jeopardizing cost, efficiency and scalability. In addition, the compute demand may fluctuate based on the “spikes and valleys” of videos uploaded. A decentralized and distributed AI computing cloud using crowd-sourced computing cycles is a good solution to handle the fluctuations in demand while maintaining optimal costs. This decentralized AI Compute Network has the added benefit of lower environmental impact by utilizing pre-existing and under-utilized computers around the world.
BETTER CONTENT METADATA FOR BETTER SEARCH AND DISCOVERABILITY
The growth of online video has grown exponentially over the last few years. Yet, currently, video metadata is very inconsistent, incomplete and subjective. Normalized and standardized metadata generated by AIWORK will help individuals query better matching results which will benefit online video platforms providing them with more consistent, completed, normalized and standardized metadata. This will allow their content to be easily discoverable and searchable by subscribers. Online video platforms could use AIWORK in multiple ways to add or enhance their metadata. They would receive detailed scene-accurate metadata and tags for each item, paying AIWORK in tokens for the AI computation and human work.
The consumption of video content has increased dramatically over the last few years due to new platforms like YouTube, Facebook, and Twitch. However, it is difficult for these platforms to manage, review and validate all the videos uploaded therefore, leading to underlying issues of content safety. Through AIWORK, videos like above can be easily detected and flagged as inappropriate by the power of AI and human experts. AIWORK’s ContentGraph score would label rejected and with a low score of safety. The scene level detection and metadata, will clearly define the inappropriate scenes for children. Meanwhile, Service Providers could use AIWORK and ContentGraph to offer content safety filters which viewers could use to search for safe and appropriate content. Contributors to the AIWORK platform, those who are providing computing resources or expertise, would be rewarded with tokens.
Our itinerary is as follows.
AIWORK’s core members
Albert Kek, Chief Executive Officer
Albert Kek is CEO of Al Work and has over 20 years in business development, strategy, strategic partnerships in China and Southeast Asia region. Specialrzed In executing new businesses from zero ground-up and working in a start-up environment. he has helped set up new business units for technology companies, including Omniclickz and CSBU for Embrio, O2O for Space Tactics, and Telecom concierge for FuYe Telecom.
Xao Jie Chen, Chief Technology Officer
Aaron Jiang is the CTO of AlWork and is a fullstack solution architech with over 14+ years of technical expericnce in developing robust digital solutions. He has architected and built scalable and global video streaming platfoms. He was previously R&D director and co-founder of Oosic which developed smart TV platforms and set-up box solutions. Agron has diverse experience from building cloud-bused application, mobile app, IoT solution to firmware for embedded system.
Phoebe Wen, Director of Marketing & Operations
Phoebe Wen is the Director of Marketing and Operations at AIWORK and is a seasoned project manager with experience overseeing projects in education, new media and blockchain. Previously, she was PR director for Finblock and GPE, two blockchain projects. Phoebe graduated from Xi’an Jiaotong University.
CONTACT US HERE
Documentation of AIWOKR
Find out more in our white paper.