- Cathy Hackl, Chief Metaverse Officer at Journey, believes that the Web3 ecosystem can solve AI’s trust issues by being the “trust layer.”
- Hackl also envisions AR glasses or similar wearables replacing smartphones in the future, and the Web3 layer can help ensure trust in what people are seeing.
- In terms of pushing Web3 to the mainstream, Hackl suggests fewer restrictions, allowing people to have more physical participation in the process.
- Despite a “metaverse cooldown,” Hackl encourages continuous development, saying that the future of Web3 and the metaverse depends on those in the trenches.
Web3 keeping AI Honest
The increasing use of artificial intelligence (AI) in various applications, such as social media and financial services, raises concerns about its potential to harm individuals or societies. AI’s use has brought to light several issues, such as bias, privacy, and accountability, which need to be addressed to build trust in the technology. At CoinDesk’s Consensus 2023 conference, Cathy Hackl, Chief Metaverse Officer at Journey, discussed how the Web3 ecosystem can solve AI’s trust issues by being the “trust layer.”
Hackl emphasized that Web3’s decentralized and transparent nature could solve issues of trust, accountability, and transparency by creating a more equitable and fair system. Web3’s underlying blockchain technology can provide a secure and transparent platform for AI systems, enabling users to trust that the AI they interact with is unbiased, secure, and reliable.
Replacement of Smartphones
Hackl also envisions a future where smartphones are replaced by AR glasses or similar wearables. Hackl called this the “Ray-Ban moment,” where everything in one’s earshot becomes real estate, which could be a scary thought. However, Web3’s trust layer could help users know that what they are seeing is the right thing and belongs to someone specific.
In terms of pushing Web3 to the mainstream, Hackl suggests that there should be fewer restrictions, and people should have more physical participation in the process. This approach allows for more inclusion and ensures that everyone has a stake in the system, promoting greater adoption of Web3 technologies.
Despite the current “metaverse cooldown,” where everyone is skeptical of the hype surrounding the metaverse, Hackl encourages continuous development. The future of Web3 and the metaverse depends on those in the trenches, and she urges them to keep building and exploring the possibilities of Web3 technology.
Cathy Hackl’s perspective on Web3 as the “trust layer” for AI and the metaverse’s future is essential to ensure the safe and ethical use of technology. Web3’s decentralized and transparent nature can address the trust issues associated with AI and promote greater adoption of Web3 technology. The current “metaverse cooldown” may slow down development, but it is crucial to keep building and exploring the possibilities of Web3 technology for a better future.
One potential solution to the issue of trust in AI, as suggested by Hackl, is the use of Web3 as a trust layer. The decentralized and transparent nature of Web3 could allow for a more trustworthy and accountable AI system.
For instance, the use of blockchain technology can create immutable records of AI training data and decisions, which can be audited and verified by anyone on the network. This could help to prevent the manipulation or bias of AI systems by ensuring that they are trained on unbiased and transparent data.
In addition, the use of smart contracts on Web3 can facilitate the development of AI systems with built-in rules and agreements, such as ethical guidelines or data privacy policies, which can be enforced automatically and transparently. This can ensure that AI systems are developed and used in a responsible and ethical manner.
Moreover, Web3 can potentially address the issue of data privacy and security in AI by allowing users to have more control over their personal data. By using decentralized identity systems and data marketplaces, individuals can choose to share their data with AI systems on their own terms and can be compensated for it. This can create a more equitable and transparent data economy, which can lead to more trustworthy and fair AI systems.
Still some challenges
However, there are still challenges and considerations that need to be addressed in the use of Web3 for AI. For instance, the adoption and integration of Web3 technology into AI systems may require significant investment and technical expertise. Moreover, the decentralized nature of Web3 can also create new challenges for the regulation and governance of AI systems. It is important to ensure that AI systems developed on Web3 adhere to existing ethical and legal frameworks and are accountable to stakeholders.
Overall, the integration of Web3 into AI systems has the potential to address some of the issues of trust, accountability, and fairness in AI. As the development of Web3 and AI continues to evolve, it is important to continue to explore and develop new solutions to ensure that these technologies are developed and used in a responsible and trustworthy manner.