Building Trust in AI and Web3: Recap of Workshop#3

Workshop #3 explores AI-Web3 convergence, emphasizing trust, verification, and responsible use for a better society.
Lucy M.


In the rapidly evolving landscape of technology, the intersection of AI and Web3 has emerged as a significant force with the potential to shape our society. Workshop#3, titled “AI meets Web3: Build a better society that we can trust,” hosted by KJ, Partner at OnePiece Labs, brought together experts to delve into this fascinating realm. During the workshop, Rui Chen, a Senior Staff Software Engineer at Meetup, shared invaluable insights that shed light on the key challenges and opportunities presented by this convergence. This article recaps the major takeaways from the workshop, highlighting the importance of trust, verification, and responsible practices in realizing the full potential of AI and Web3.

The Astounding Potential of AI

Undoubtedly, software has been a transformative force, and AI’s impact is increasingly evident. From AlphaGo’s historic victory against a grandmaster to the rapid adoption of ChatGPT with over 100 million users in just two months, the potential of AI is awe-inspiring. It has become imperative to explore how we can leverage this potential while mitigating its risks.

Navigating the Dark Side

While AI offers tremendous benefits, it also harbors a dark side. The emergence of deepfakes, which blur the line between reality and fiction, raises serious concerns about trust and authenticity. Instances such as fake kidnapping reports and unreliable legal information generated by AI have underscored the need for robust trust mechanisms and verification processes.

Trust in Web2 and Content Moderation

Traditionally, trust in the digital realm has been addressed through Web2 approaches, employing content moderation and platform control. Examples include Twitter’s fact-checking feature and the dedicated trust and safety teams that platforms have established. Moreover, the open-source community has implemented codes of conduct to promote healthy interactions. While these measures have been effective to some extent, a more democratic and community-driven approach is desired.

Embracing the Web3 Paradigm

Web3 presents an alternative paradigm that empowers communities with greater control and fosters meaningful conversations. Identity verification plays a pivotal role in building trust within Web3, and protocols like OpenID facilitate the implementation of robust trust and safety measures.

Balancing Assets and Copyrights

As we navigate the realms of AI and Web3, considerations around assets and copyrights become crucial. The public domain concept and licenses like GPL and Apache 2.0 enable the free use and distribution of information and open-source software. At the same time, it is imperative to maintain copyright protection to ensure fair treatment for creators.

Responsible Use of Large Language Models

The emergence of large language models has revolutionized personalization and news dissemination. However, it is essential to exercise caution to ensure low-stakes interactions with AI models and to rely on trusted and verified sources for news. Striking the right balance between personalization and responsible usage is key.

Respecting Copyright and Foundations

Respecting copyright is vital for supporting creative work and fostering innovation. Within the AI realm, it is crucial to acknowledge and honor the foundations on which AI models are built, particularly human-generated data. This not only promotes ethical practices but also acknowledges the efforts of those whose contributions underpin the progress of AI.

Addressing Supply Chain Issues

In the pursuit of building trust and security, it is important to consider supply chain issues and software dependencies. Understanding and mitigating potential vulnerabilities in the development process is paramount to ensure the integrity and reliability of AI and Web3 applications.

Ensuring Job Security and Fair Treatment

As AI-generated content gains traction, concerns surrounding job security and fair treatment of creative works come to the forefront. Protecting the rights of writers and ensuring fair compensation for their works becomes imperative as the boundaries between human and AI-created content blur.


The workshop emphasized the critical need for establishing trust in the realms of AI and Web3. By embracing responsible practices, respecting copyright, nurturing a community-driven approach, and addressing the challenges associated with these emerging technologies, we can create a better society that harnesses the benefits of AI and Web3. Only through a concerted effort can we build a trustworthy society that realizes the potential of these transformative technologies while mitigating their risks.