Blockchain & AI – Convergence

By
Dinis Guarda

Blockchain & AI – Convergence – A research film by Dinis Guarda for openbusinesscouncil summit.

Blockchain & AI are the major architecture techs of our time. Its convergence is a key factor for the present & future of tech. These emerging & foundation technologies deal with data, value storage + creation and lead the digital transformation of the 4IR.

The history of Artificial Intelligence AI began in antiquity, with the power of imagination – myths, stories, rumours making artificial beings endowed with intelligence or consciousness by master craftsmen, magic.

The History of Blockchain & Ledgers start when the first recorded ledgers systems were found in Mesopotamia, today’s Iraq, 7000+ years ago. Clay tablets were used to record lists of expenditures and goods received and traded. At the time, the ledgers of Mesopotamia were safe-kept in temples that were considered the banks of the time.

Turing Test Alan Turing published a landmark paper in 1950 in which he speculated about the possibility of creating machines that think. Turing noted that “thinking” is difficult to define and devised his famous Turing Test. This was after the benchmark to define the vision of AI our AI vision and all its variations still owns a lot to Turing

Blockchain technology was first outlined in 1991 by Stuart Haber and W. Scott Stornetta two researchers who wanted to implement a system where document timestamps could not be tampered with.

AI – Machine Learning

Blockchain & AI convergence

When Satoshi Nakamoto, released the whitepaper Bitcoin: A Peer to Peer Electronic Cash System in 2008 that described a “purely peer-to-peer version of electronic cash” known as Bitcoin blockchain technology made its public debut.

Blockchain + AI are the major architecture techs of our time. Its convergence is a key factor for the present & future of tech. These emerging & foundation technologies deal with data, value storage + creation.

Blockchain & AI convergence combined create solutions, scaled technology and business infrastructure that are changing our society and world 360. They are the biggest challenge in history of human society

The common 3 types of AI:

1. narrow or weak AI,
2. general or strong AI,
3. artificial general superintelligence – AGI

Blockchain 3 iterations

Blockchain 1.0 – Public chain 1st iteration Bitcoin – copycat coins, cryptocurrencies – inception of ICOs  finance + digital transactions payments.

Blockchain 2.0 – Ethereum – Hyperledger + Public chain Alliances – emergence of Private chains – decentralised apps – Dapps;

Blockchain 3.0 – present  future industrial Blockchain – supply chain – advanced Super smart AI contracts with decentralised computing capacities.

Blockchain 3 iterations

On one hand, Blockchain builds a foundational encryption architecture that enables secure digital storage and sharing, rewarding with data or anything of value.

AI in its present inception, creates a foundational direction to gather, analyze, generate and predict insights from data which manages value and augments human, society, business intelligence.

Major challenges we face as humanity when we develop and research AI is who owns the data that feeds AI and who benefits from it. Ben Goertzel AI in its present inception is all fueled with data – from our businesses, governments, personal…

In order to understand blockchain and AI, one needs to look at the basic architecture systems of our society – intelligence and how to manage the biggest assets of our society – our time, our data – the management of our attention.

AI in its present iteration needs Data – Big data – a series of interconnected systems that looks at massive amounts of all our personal, society and scientific data, analyzes and learns with it.

AI’s – especially Machine learning – development is particularly interesting when use for Data as it is capable to deal with big chunks of data systematically, extracts information, and “read” it. These chunks of data sets are increasingly larger and complex as we increase digital transformation.

This is particularly important as we look at digitising all the areas of society with digital transformation tools  and creating new areas that require new ways outside of the traditional data-processing application software to manage.

Four main considerations to look when thinking about Blockchain-AI convergence

1) Redesign and create a new distributed artificial intelligence – making sure that AI evolves in an integrated distributed open source open way where different sources interact with each other and can learn and grow in a global scale and secure way.

“Blockchain is a powerful technology in the sense of computing systems without requiring central systems – it has a potential to play a system in the AI evolution in the way to decentralise and manage the multiple systems in AI.” — Ben Goertzel

2) Together will enable and create advanced digital trust and transparency that will create a new internet of value and digital transform our society enabled + managed by trust.

3) Will allow better interconnectivity between marketplaces, ecommerce and services, goods when it comes to digital track record infrastructure and data.

4) Optimise and secure identity – ID and Increase the overall more secure and clear UI User Journey.

The common 3 types of AI

Blockchain & AI convergence can be summarised in three areas

1. Blockchain and AI require big data open and shared:

While blockchain relies on open data ID & APIs, special integration and sharing, AI applications can benefit from big data multiple ways to sharing as well, with the idea that more the data, better the algorithm will be.

“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. I mean with artificial intelligence we’re summoning the demon.” —  Elon Musk

2. Blockchain & AI require advanced ethics + security:

Both technologies introduce new advanced infrastructure for security, transparency and ownership or data + intelligence. Decentralized ledgers and smart contracts in blockchain and automated analysis, predict elements and decision making in AI.

“The upheavals [of artificial intelligence] can escalate quickly and become scarier and even cataclysmic. Imagine how a medical robot, originally programmed to rid cancer, could conclude that the best way to obliterate cancer is to exterminate humans who are genetically prone to the disease.”  — Nick Bilton

3. Blockchain and AI require trust, ethics and governance:

They must be regulated, compliant, auditable, and adhere to high levels of global compliance and regulation policymaking,  and uphold the highest humanitarian levels of values and transparency and secure identity and 360 level of access.

“Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.”  —Ray Kurzweil

“The primary applications of AI today are: selling, killing, spying and gambling!” — Ben Goertzel

We must drive towards benevolent AI Blockchain tech convergence – to get the best potential outcome for our species. The way we work now to find a human nature centric human AI blockchain convergence will define our new stage of human evolution! We need to work on this in a collaborative, ethic, benevolent way!  NOW!

RELATED ARTICLESMORE FROM AUTHOR