Emerging technologies like AI and the BSV blockchain are now being used in various sectors including healthcare, finance, agriculture, and construction. Historically, these technologies were primarily accessible to large corporations in big tech, limiting ordinary people’s direct access to them. However, the democratisation of AI and blockchain in recent years has begun to mitigate this exclusivity.
Nevertheless, this democratisation process is not complete. Despite these positive trends, the digital economy remains predominantly in the hands of Silicon Valley and major financial players. Although consumer access to new technology benefits has improved, numerous barriers still hinder individuals from truly owning their data.
Despite the perception of empowerment, users encounter time-consuming tasks and technologies that manipulate their preferences, diminishing their autonomy in decision-making.
Removing third parties and intermediaries
In every scenario, these technologies can enhance efficiency and optimise results by granting access to superior data for both consumers and suppliers. They facilitate genuine peer-to-peer economic interactions.
By eliminating intermediaries and substituting them with a digital counterpart solely acting in the interests of the involved parties, direct peer engagement becomes unmediated and immune to manipulation. This ensures that the economic benefits accrue solely to the consumer and supplier.
With these advancements, everyday consumers now have access to cutting-edge technologies. AI and blockchain are shedding their exclusivity and offering tangible benefits to individuals, reducing time and costs while returning control to them.
Transparency and scaling
The synergy between the BSV blockchain and AI is underscored by their shared traits of transparency and immutability. Using the BSV blockchain’s innate features, AI algorithms gain secure access to data, enabling direct sharing without intermediaries. This ensures integrity and transparency in data handling.
The BSV blockchain strengthens the reliability of AI systems by furnishing a verifiable and auditable log of data transactions and model outputs. Given the extensive data needs for AI training, blockchain enables secure and transparent data exchange among diverse parties, spanning individuals, organisations, and IoT devices.
Through blockchain, the origin and utilisation of data can be traced, ensuring accountability and empowering stakeholders to authenticate the genuineness and calibre of data used by AI models.
