WHAT IS DECENTRALIZED ARTIFICIAL INTELLIGENCE?
Blockchain technology and research in Artificial Intelligence are two of the most burning topics in today’s world. So, what if we combine them. This is the new big thing in the data world. The decentralized artificial intelligence serves the perfect purpose of securing data for providing services.AI and its subsets are of great importance, and research is going on to make software to make human-like decisions and derive results more efficiently. Machine learning, AI is not that new, it has been around for quite some time. How we basically use it is we feed data, we expect the AI to understand the math and define a function between the input and output, and then we expect the AI to produce results.
But, until
now we have been using AI in a low level and centralized manner. For example,
let’s consider uber, when a person tries to book a ride the algorithm in the
application scans what rides are available and arranges them according to which
is the nearest. This is software deciding what’s best for a given position.
The person if were to take the service is meant to pay the service provider (in
this case the driver) as well as the third party (in this case uber).
What if we
were to eliminate the third party… the consumers would be required to pay less,
and the service providers will get more payment. What if the application that provides
the service was not owned by a centralized tech giant but by all the people
involved, this is where the blockchain technology comes to aid. A blockchain
ledger of transactions will be edited by potential miners and new blocks
will be connected.
Why do we need DAI?
This
combination of Blockchain and Artificial Intelligence can revolutionize the
WEB2.0 and keep our data to ourselves which we were giving away for services.
The decentralization term currently in use with crypto does not have a single
governing body, except there are many people involved called miners who
check every transaction, edit the blockchain, and get rewarded for the same. The
blockchain has been around for a decade and no one can modify it. From an
estimation more computing power than the 500 fastest supercomputers is required
to break a blockchain and hack the transactions, the data thus remains safe.
The primary focus of a decentralized system is to create a more data-secure
environment by eliminating third parties.
The
decentralization of AI can form an invariable data system which is believed to
be the foundation for what is being termed as AGI the artificial general intelligence.
AGI is a subject of interest to many labs around the world including Google and
Facebook, which would eventually be close enough to ASI or Artificial Super
Intelligence.
Looking
individually the two of them serve different purposes.
AI is
probabilistic, it gives a likelihood of the outcome whereas blockchains are
predestined, here the outcome is known.
AI is
evolving, changing, and progressing. Blockchain on the other hand is permanent, no
one can modify it because of the proof of work algorithm.
AI
algorithms take a guess at a reality where cryptography algorithms record the
transactions and bind them in a ledger.
In the
future, they go hand in hand doing what each is good at.
Composition
of Decentralized AI
Cryptography has seen many substantial subsets which helps the cause of
creating the DAI ecosystem. There are a few techniques for the distribution and
confidentiality of data.
1. Homomorphic
Encryption: Homomorphism being one of the best technological advances in the
cryptography world allows the execution of specific types of computations to be
done in the ciphertext and provides results that are also encrypted in the
ciphertext.
2. GAN
Cryptography: This model is backed by Google and was properly established by the
end of 2016. With adversarial neural cryptography, the confidentiality of
datasets is ensured, and data can be exchanged among different parties by
maintaining high levels of privacy
3. Secured
Multi-Party Computations (SMPC): This security technique ensures that
computation of a public function based on private data while keeping the inputs
secret.
Potential of Decentralized artificial intelligence in the future technology industry.
A decentralized
computing model like blockchain is combined with AI, the best of both can be
leveraged for a scale of resources. DAI is a model that allows the processing
process to be isolated without the disadvantage of the data being shared. It
allows users to process information independently. By doing so, one can achieve
different results and then analyze the knowledge, creating new and better
solutions which will not be the case with a centralized AI system.
Altogether, it will
allow devices to overcome adversity through real-world challenges, by
reasoning, and through trial and error while having the results recorded. Thus,
the DAI model is believed to have incredible potential across business, science
and collectively people.
However, there can be
one downside to this, what we see below are art pieces created by AI models.
Dope right!!
There are many more
pieces where the artificial intelligence really shows up to humans. These
art works are auctioned too. Now, imagine a free AI with no centralized
governing body making and auctioning off paintings for instance, we cannot
interfere in its transactions due to blockchain principles. So, how do we
counter it? That is a question that will trouble the developer's community for
a while.
But it’s our
responsibility to build systems for the good of humanity. We need to educate
ourselves and be as familiar as possible with the functioning of DAI in order
to prevent any malpractices, now or in the future.
Credits and References: Prathviraj Chavan (FY Mechanical, Team Tech
Tuesday)
· https://www.youtube.com/watch?v=r4manxX5U-0
· https://www.youtube.com/watch?v=ogk4DnqXvuA
· https://www.ai.se/en/projects-9/decentralized-ai
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investment advice. We do not own any Copyrights related to images and information;
all the rights go to their respective owners. The sole purpose of this blog is
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