“How can we ensure that AI development benefits all of humanity equitably?”

This is one of the questions that arise when we start talking about AI development, alongside with the others regarding the safety of AI. The growth of AI requires a great deal of trust, openness, and accessibility as its capabilities grow and approach large-scale production. We want to investigate the relationship between AI and Web3, blockchain, and other technologies, looking at how decentralized methods, such as those developed by Theoriq, could improve the state of AI.

A small number of very big IT corporations and research centers control the majority of the AI ecosystem today. Even while centralization has sped up development, there are worries about power concentration, prejudices in AI systems, and restricted access to advanced AI features for individuals and consumers in general.

The creation of centralized AI frequently takes place in secret, with little openness around the algorithms, training data, and decision-making procedures used in AI models. This opacity raises potential ethical issues, unintentional biases, and public mistrust of AI systems that are becoming more and more integrated into our daily lives.

The Blockchain and Web3 Solution

These issues could be resolved by Web3 technologies, especially blockchain, which make it possible for community-driven, transparent, and decentralized methods of AI research. Blockchain’s basic transparency and distributed consensus capabilities may be used to build AI systems that are more clear, responsible, and oriented toward the interests of society as a whole.

This method is demonstrated by Theoriq, a decentralized protocol for managing and creating multi-agent AI systems. Theoriq wants to build an environment where AI agents may communicate in a transparent, safe, and interoperable way by fusing AI with blockchain.

Essential Elements of Distributed AI Development

A number of essential elements become apparent as being vital for fair AI development via Web3 and blockchain. Decentralized governance guarantees that community-driven decision-making matches the interests of many stakeholders—rather than just a small number of businesses or organizations—in the creation and use of AI systems. An unchangeable track of AI model learning, updates, and decision-making procedures may be provided by transparent development methods made possible by blockchain.

Important components of this approach are also composability and interoperability. Standardizing AI agent communication and interaction protocols will help to create an environment in which developers globally may more easily exchange, integrate, and expand upon AI capabilities. This methodology stands in stark contrast to the present state of divided AI research.

Just Rewards and Unrestricted Access

Fair reward schemes are essential to the development of decentralized artificial intelligence. Contributors to AI research, whether they offer data, processing power, or create new models, may be fairly and openly compensated via tokenized systems. This strategy makes sure that everyone in the ecosystem receives a more equitable share of the value produced by AI systems.

One further important advantage of decentralized networks is open access. These platforms enable developers and end users to use powerful AI tools that would otherwise be inaccessible by democratizing access to AI capabilities. This democratization might encourage innovation and guarantee that the advantages of AI are not limited to a small number of very large companies.

Theoriq: A Decentralized AI Case Study

The platform provided by Theoriq provides information on how these ideas might be implemented. Their Agent Base Layer establishes a uniform framework for on-chain AI interactions, while their Infinity Studio offers an intuitive interface for dealing with AI agents. AI agents’ activities are clearly documented, and successful collaboration is rewarded, thanks to the Proof of Contribution and Proof of Collaboration methods.

By giving developers the ease to publish and sell their works while offering consumers access to a vast array of AI capabilities, the Infinity Hub marketplace further democratizes access to AI agents. This open ecosystem strategy offers a glimpse of a more fair and accessible future for AI research, starkly contrasting to the walled gardens of many present AI platforms.

Difficulties in the Development of Decentralized AI

Decentralized AI development has a lot of potential, but there are a few issues that need to be resolved. Since blockchain systems need to be able to manage the high throughput necessary for intricate AI operations and interactions, scalability is a major challenge. Another important concern is privacy; although openness is important, safeguards for private information and intellectual property must also be in place.

Regulatory conformance poses an additional challenge. Ensuring compliance with many worldwide rules gets increasingly hard as AI systems grow more dispersed.

In open environments, quality control is much more important. Ensuring the quality and safety of AI agents working on decentralized systems requires the implementation of robust procedures. This might entail automated testing procedures, community-driven rating systems, or other creative ways to uphold high standards in a decentralized setting.

Another essential element of this shift is user education. Users need to be aware of the advantages and possible hazards of dealing with decentralized AI systems in order for them to be widely adopted. All ecosystem participants will need to work together in this continuous education process.

The Influence of Teamwork and Community Involvement

Collaboration across several industries is necessary to build Web3 and blockchain to create AI systems that are accessible, transparent, and equal. In this ecosystem, developers, data suppliers, computing resource providers, and end users all have vital responsibilities to perform.

In this new approach, community involvement and governance are very important. The advantages of these technologies will be spread more fairly if community members are given the opportunity to participate in the governance and development of AI protocols, as Theoriq’s approach indicates. It not only promotes more democratic decision-making but also makes use of the combined knowledge of a multicultural society worldwide.

AI’s Future: Equitable and Decentralized

The need for egalitarian, transparent, and community-driven development is growing as AI continues to change the world. A bright way ahead is made possible by Web3 and blockchain technologies, which will allow for the development of AI systems that are more powerful and in line with the interests of society as a whole.

Platforms like Theoriq, which facilitate cooperation among Agent Collectives and encourage transparent and safe AI agent interactions, are in a good position to benefit from this change. We can strive toward a future where the enormous potential of AI is utilized for the benefit of everyone by promoting an open environment where developers, users, and AI agents may engage freely and equitably.

The post Building Trust in AI: The Essential Role of Blockchain, Web3, and Community Governance in a Decentralized Future appeared first on Metaverse Post.

TL;DR

Soulbound Tokens (SBTs) are digital identity tokens that represent the traits, features, and achievements that make up a person or entity. SBTs are issued by “Souls,” which represent blockchain accounts or wallets, and cannot be transferred. 

Introduction

Soulbound Tokens (SBT) is a concept proposed in May 2022 by Ethereum cofounder Vitalik Buterin, lawyer Puja Ohlhaver, and E. Glen Weyl, an economist and social technologist.

The whitepaper, entitled “Decentralized Society: Finding Web3’s Soul,” lays out the foundation of a fully-decentralized society (DeSoc) governed by its users and how Soulbound tokens (SBTs) can function as the credentials we use in everyday life. 

What are SBTs?

Soulbound tokens (SBTs) are non-transferable tokens representing a person’s identity using blockchain technology. This could include medical records, work history, and any type of information that makes up a person or entity. The wallets that hold or issue these records are called “Souls.”

People could have multiple wallets (or Souls) representing different parts of their lives. For example, someone could have a “Credentials Soul” for their work history and a “Medical Soul” for their health records. Souls and SBTs would allow people to build a verifiable, digital Web3 reputation based on their past actions and experiences.

On the other hand, Souls can represent an entity that allocates SBTs. For example, companies can be Souls, issuing SBTs to each employee. A digital country club could issue SBTs to verify membership status.

The logic behind soulbound originates from the popular online game World of Warcraft. 

Players cannot sell or transfer soulbound items. Once picked up, soulbound items are forever “bound” to the player’s “soul.”

Now, imagine this idea but applied to non-fungible tokens (NFTs). Today, most NFTs are ownership certificates for digital art or collectibles, such as Bored Ape Yacht Club. People will buy, trade, or show off NFTs as a symbol of status and wealth.

SBTs aim to turn the NFT concept into something beyond money and bragging rights, a token that is both one-of-a-kind and non-transferable. While NFTs represent assets and property, an SBT represents a person or entity’s reputation. And unlike an NFT, SBTs hold zero monetary value and cannot be traded once issued to someone’s wallet. 

How can SBTs be used?

SBTs have a wide range of potential use cases. Here are some examples that could potentially find use in everyday life.

1. Education history – When people graduate from university, they receive a certificate proving completion of the required courses. The university could be a Soul issuing the SBTs, and the students would be Souls on the receiving end. The SBT would store the student’s credentials, proving they hold the relevant qualifications and are a member of the university. Simply put, the SBT would function as proof of attendance.

2. Job applications – In theory, job applicants could submit all their prior work history and professional certificates using official SBTs issued by previous companies and institutions. The SBTs would function as proof of skill certificates.

3. Health records – Switching doctors or healthcare providers could be accelerated using an SBT that holds a person’s medical records. Hypothetically, the SBT would replace the often slow process of filling out paperwork, verifying your medical history, and going back and forth with someone on the phone.

How do SBTs work in Web3?

Trust is one of the main challenges affecting the Web3 industry. How can you trust a person’s reputation in a system designed to be trustless? Let’s use lending money as an example. Similar to traditional bank credit scores, SBTs could track a user’s DeFi borrowing history as well as other metrics that determine their risk profile.

SBTs are also a proposed alternative for decentralized autonomous organization (DAO) voting. Instead of the current governance model, which is based on how many tokens a member holds, DAOs could issue SBTs that assign voting power based on users’ interactions with the community. This model would prioritize voting power for the most dedicated users with a strong reputation.

Besides creating a reputation-based voting system, SBTs may potentially improve the integrity of DAO voting — namely, defending against Sybil attacks — one of the biggest threats to the current DAO governance model.

During a Sybil attack, an individual or a group of bad actors overthrow a DAO by purchasing the majority of governance tokens. Those with majority voting power can manipulate voting proposals and steer the project’s direction in their favor. The public and verifiable nature of SBTs could help detect and prevent bad actors from entering the DAO and, in turn, deter corruption and Sybil attacks from occurring. 

What are examples of SBTs in action?

As of August 2022, SBTs only exist on paper. Glen Weyl, one of the co-authors who contributed to the original SBT whitepaper, believes there will be early SBT use cases by the end of 2022.

Binance also recently announced its own SBT called Binance Account Bound (BAB). The BAB token is non-transferable, has no monetary value, and is the first-ever SBT issued on the BNB Chain. BAB aims to tackle identity verification issues in Web3, serving as a digital verification tool for Binance users who have completed KYC.

In addition to the Binance ecosystem, third-party protocols will be able to use BAB tokens to airdrop NFTs, prevent bot activity, and facilitate DAO governance voting, among other use cases.

Closing thoughts

SBTs have become a hot topic in Web3. In theory, SBTs could allow people to establish their own digital reputation and assess someone else’s on the blockchain. It remains to be seen if an SBT can function as Web3’s version of the “identity card.”