SAKSHI: Decentralized AI Platforms

by   Suma Bhat, et al.

Large AI models (e.g., Dall-E, GPT4) have electrified the scientific, technological and societal landscape through their superhuman capabilities. These services are offered largely in a traditional web2.0 format (e.g., OpenAI's GPT4 service). As more large AI models proliferate (personalizing and specializing to a variety of domains), there is a tremendous need to have a neutral trust-free platform that allows the hosting of AI models, clients receiving AI services efficiently, yet in a trust-free, incentive compatible, Byzantine behavior resistant manner. In this paper we propose SAKSHI, a trust-free decentralized platform specifically suited for AI services. The key design principles of SAKSHI are the separation of the data path (where AI query and service is managed) and the control path (where routers and compute and storage hosts are managed) from the transaction path (where the metering and billing of services are managed over a blockchain). This separation is enabled by a "proof of inference" layer which provides cryptographic resistance against a variety of misbehaviors, including poor AI service, nonpayment for service, copying of AI models. This is joint work between multiple universities (Princeton University, University of Illinois at Urbana-Champaign, Tsinghua University, HKUST) and two startup companies (Witness Chain and Eigen Layer).


Increasing Trust in AI Services through Supplier's Declarations of Conformity

The accuracy and reliability of machine learning algorithms are an impor...

Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability

With regard to the wider area of AI/LT platform interoperability, we con...

Libraries, Integrations and Hubs for Decentralized AI using IPFS

AI requires heavy amounts of storage and compute. As a result, AI develo...

Hashcashed Reputation with Application in Designing Watchtowers

We propose a novel reputation system to stimulate well-behaviour, and co...

The relationship between trust in AI and trustworthy machine learning technologies

To build AI-based systems that users and the public can justifiably trus...

Advances in Automatically Rating the Trustworthiness of Text Processing Services

AI services are known to have unstable behavior when subjected to change...

Chatbots as conversational healthcare services

Chatbots are emerging as a promising platform for accessing and deliveri...

Please sign up or login with your details

Forgot password? Click here to reset