Experienced View: Applying Blockchain Tech to Artificial Intelligence
Distributed ledger technology may be successfully applied to develop artificial intelligence projects, thinks Dr. Maxim Orlovsky, Ukrainian complicated systems and neuroscience experienced.
Speaking at Blockchain Conference Kyiv on may 20, Maxim Orlovsky described the fresh trends in AI development that became possible after the emergence of fresh decentralized options for data exchange and storage.
â€śThese days, two IT areas practice a revolution. It’s the blockchain technology that bitcoin had commenced, and artificial intelligence technology,â€ť he said in his speech.
According to the experienced, even tho’ there’s seemingly nothing in common inbetween the two technologies, major companies find an option for synergy. Thus, IBM recently announced it would merge its Cognitive Computing (Watson) subdivisions engaged in AI development and Internet of Things subdivisions that develop blockchain solutions for the IoT.
â€śThe artificial intelligence found in Siri and individual assistants is a singular artificial intelligence. It’s an artificial intelligence based on technologies from 1950’s and 60’s that can now be commercialized due to the computational technology’s progress. However, that AI is far from human’s. Blockchain might become the technology enabling us to reinforce and transfer AI development on a downright different level.â€ť
Dr. Maxim Orlovsky
ForkLog talked with Maxim about his vision of artificial intelligence’s evolution and applicability of blockchain technology in this area.
FL: Your speech intrigued us, so we’d like to ask you a few questions about the future of such technologies. Assuming from your presentation, we may think that existing incarnations of AI have reached their ceiling as they’re relatively isolated from each other. However, blockchain technology can surpass such limitations. How?
Maxim Orlovsky: In fact, it’s about two primary things: multiagent systems and blockchain. Multiagent systems create a competitive environment that may test different implementations of artificial intelligence in terms of their efficiency. However, such environment requires data exchanging, and such data have to be identically understood and interpreted by all members of the system, regardless of their individual differences and possible ‘conflict of interests’. In fact, it’s about the need for a consensus algorithm for interpreting some facts in a trustless multiagent system. Blockchain technology provides such algorithms. I believe, they may function like a language for data exchange inbetween contesting artificial intelligences.
FL: Does anyone apart from IBM work on such projects? What are current achievements in this area?
Maxim Orlovsky: Presently we’re at very different phases of this fresh industry combining AI and blockchain: there’s some interest for the problem, but there’s also anÂ evident deficiency of development even in the form of prototypes. Thus, there are some scientific conferences discussing such technologies, some blockchain startup rebrand and switch their field of activity (for example, Skry Inc., formerly known as Coinalytics), there’s a discussion within the blockchain technologist community.
FL: How such breakthrough could be commercialized? What would the world be like after artificial intelligence is implemented with blockchain?
Maxim Orlovsky: I think it’s not about what the world would be like after AI is implemented with some technology, but about what it would be like after the very emergence of an artificial intelligence similar or higher than human’s. The technology is not that significant, it’s just some technological approaches could bring us there earlier than some others. That’s the advantage of using blockchain, I think.
FL: When do you think regular people will become able to use the synergy of those developments?
Maxim Orlovsky: In modern times, it takes a few years to commercially release fresh technological developments, so the very first products somehow combining AI and blockchain will emerge this decade. However, when it comes to more disruptive switches those two technologies can provide, we should take into account the need for a sufficient progress in other areas related to AI. I believe we need a combination of several factors: progress in computational power (possibly, using quantum processing units capable of higher parallelism), fresh coding paradigms, development of mathematical apparatus for multiagent systems with elaborate behavior, increase of internet channels’ throughput, better understanding of how our brain works and how consciousness functions, and many other things. Considering the fact that neural networks used in some of today’s products like Google RankBrain, Apple Siri, driverless cars, IBM Watson etc., have been developed in the 1950’s, and it took us sixty years to make their technologically and commercially possible, it will take us around thirty more years, considering Moore’s law, before the products we’re theorizing about now, will have entered mass markets.
FL: What other unusual applications of blockchains are worth consideration?
Maxim Orlovsky: I think many people have heard the fintech revolution that bitcoin had began will be followed by power industry revolution, where blockchain will play a crucial role. Ukraine has its own micro-revolution, and in some sense, we’re even ahead of the West: IDF Reforms Labs and Distributed Labs have launched eAuction.io which eliminates corruption factor from selling public property.
Apart from those things significant today, there are decentralized organizations and brainy contracts that would become of importance tomorrow. At Event Horizons, we believe that fresh forms of economic organization will soon emerge. They will be Decentralized Autonomous Economies built on brainy contracts around markets, and will include both regular people and DAO’s and DAC’s, including those managed by artificial intelligence.