Blockchain can serve as a key technology to enable global timestamping and clarify data provenance, which is needed to establish trust in artificial intelligence (AI), the Internet of Things (IoT) and the Metanet on hand. This is the view of Jake Jones (Business Program Manager for BSV Blockchain) who recently sat down for an interview with CoinGeek.
Jones outlined how the BSV blockchain can serve as a key technology to enable global timestamping and clarify data provenance, which is needed to establish trust in artificial intelligence (AI), the Internet of Things (IoT) and the Metanet on hand, but also in media, as the blockchain can be used to tackle the issue of fake news.
How blockchain can prevent the spread of misinformation
To give an example Jones discussed how the BSV blockchain could help tackle the issue of an example of transparent verifiability of data. He explained that blockchain technology enables global timestamping and data provenance, which can trace the origin of information and confirm that it has not been altered. This feature is key to combating misinformation and fake news by verifying the authenticity and integrity of data.
AI relies on vast amounts of data to learn and improve, but there are significant concerns about how this data is sourced and verified. Jones provides two main reasons for the need to integrate blockchain with AI.
Firstly, blockchain enables a mechanism to reward individuals who contribute data to AI algorithms, addressing a current issue where companies often use data without compensating the source. Through blockchain-enabled incentives, contributors can be rewarded, encouraging a consistent flow of data that AI systems need. This could be particularly transformative in industries such as healthcare, where quality data is crucial, yet often under-supplied due to privacy and compensation concerns.
Secondly, blockchain establishes data provenance, ensuring that data entering AI models is traceable back to its origin. This feature allows for a thorough audit trail, helping developers verify data accuracy and enabling the identification of flawed data sources. Such traceability is critical for troubleshooting issues in AI systems, as it allows the tracking of problems back to their origins, promoting accountability and quality in AI models.
Blockchain and IPv6 as the backbone for the Metanet
Jones also discussed the Metanet, basically an internet that is built on blockchain technology and in which users own their own data and can directly interact with each other instead of relying on centralised platforms. Unique global IP addresses are needed for this direct communication. IPv6 supports this by offering both a private address for security and a public address for internet communication, facilitating secure and direct P2P connections essential for blockchain-based systems.
This is also relevant to the Internet of Things, as Jones explained. IPv6 offers both private addresses for security and public addresses for internet-based communication, making it possible for IoT devices to engage in secure, P2P exchanges. This direct interaction is foundational to the Metanet, where blockchain-based systems require secure connections to ensure the authenticity and integrity of the data exchanged.
