During a recent keynote speech, Cardano founder Charles Hoskinson said spoke on the top blockchain use cases for artificial intelligence, including vehicle identity and royalty management.
According to the entrepreneur, the combination of AI and blockchain could also potentially transform healthcare, making electronic health record (EHR) systems more efficient.
At the same time, Hoskinson also spoke about some of the challenges of merging AI with blockchain. For example, both sectors face governance issues.
For the AI sector, collecting data is quite challenging due to AI’s dependence on massive computing resources. However, these problems can potentially be solved using tokenization.
Merging AI and blockchain is particularly complicated due to privacy concerns, resource scarcity, and determinism.
“The integration of AI and blockchain is hampered by technical incompatibility and the first-mover problem, but complementary solutions can emerge that address these challenges,” said Input Output CTO Romain Pellerin wrote on social media network X as he summarized Hoskinson’s speech.
The idea of combining AI and blockchain is not new. Reddit co-founder Alexis Ohanian, for example suggested that the technology underlying Bitcoin can be used to verify the authenticity of AI-generated images. In the meantime, Ledger Chief Experience Officer Ian Rogers recently served described blockchain and AI as two sides of the same coin.
If reported by U.TodayHoskinson also recently raised concerns about AI censorship caused by tuning training.
