Can Blockchain with Artificial Intelligence Fight Deep Fake?

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Truth has been the subject of discussion in its own rights, objectively and independently of the ways we think about it or describe it, for many ages. Philosophical theories about truth may have many relative grounds but in mathematics there exist absolute truth.

Can truth shapeshift? In an emotion based market, truth is subjective to the intellectual spectrum of people’s belief and opinion. The deep fake video of Barrack Obama’s speech created by Buzzfeed using power face swapping neural networking technology is one such example.

[embed]https://youtu.be/cQ54GDm1eL0[/embed]

So what is a deep fake?

“Deepfake, a portmanteau of “deep learning” and “fake”,[1] is an artificial intelligence-based human image synthesis technique. It is used to combine and superimpose existing images and videos onto source images or videos using a machine learning technique called a “generative adversarial network” (GAN).[2]The combination of the existing and source videos results in a fake video that shows a person or persons performing an action at an event that never occurred in reality.” This is the definition according to Wikipedia.

Source:https://arxiv.org/pdf/1805.11714.pdf
Source: https://www.symantec.com/blogs/election-security/ai-generated-deep-fakes-why-its-next-front-election-security

But deep fake is much more abyssal than using a fakeapp for video misrepresentation of celebrities and political leaders. The widespread discussion of fake news that has surfaced since the last election can be furthered beyond partisan convictions.

Yesterday evening I was listening to a debate about pre-school subsidization where an artificial intelligence is debating about morals, finance, impacts of individual lives and various vulnerabilities that may stem out of her(as the voice was of female) active stand against the topic. The Artificial Intelligence system was citing various research and anticipated what her opponents will say, rebutted its human debater and also threw a few jokes. According to IBM, Project Debater is the first AI system to debate humans on complex topics . “During a twenty minute debate on a complex topic, Project Debater is digesting massive texts from the world class human debater, constructing a well-structured speech and delivering it with clarity and purpose and can rebut its opponent thoughtfully.” As an ex-IBMer I was highly curious.

This may be a small step for Artificial Intelligence but is it a huge step for mankind against deep fake?

IBM started this project long ago and opened it to the world in June 2018. Project Debater did a bunch of debates (pun intended) and most of them are about subsidizing action but on different topics like space exploration, music education and yesterday about pre-school education.

Project Debater is a developed argumentative content search engine debating her human opponent stand point both explicitly and implicitly. IBM researcher Ranit Aharanov stated that “We are actually trying to show that a computer system can add to our conversation or decision-making by bringing facts and doing a different kind of argumentation.”

“Argument Mining — Claims and evidence are the main components of an argument; identifying and using them correctly are essential to framing an argument in a debate. The IBM Project Debater team has invested substantial effort in developing machine learning techniques to mine massive corpora for claims and evidence and use them to generate arguments relevant to a controversial topic.”

Facts vs Decentralized AI System

I remember when I was a public debater, the first thing I had to do was to make sure all my research facts were correct and cite correct information while bringing the human touch of empathy to my stance. The Project Debater is able to do all of this intelligently and be politically neutral. A cognitive non-bias towards fact checking can fortify against the capricious model of a centralized data system. Facebook, Google, Equifax are the gate keepers of our data and these centralized system’s platform vulnerability have been brought to the surface by recent data breaches. Bounty hunters can easily buy our data from tech giants (Facebook) and sometimes cyber hackers are hacking from the confidential data platforms (Equifax).

There is always a privacy vs transparency problem when it comes to our data. How an autonomous platform be correctly incentivized?

Can Blockchain be a solution for such platform vulnerabilities where entities are incentivized and objectives are reframed to seek out the truth?

There are many decentralized open source blockchain technologies that are becoming platform enablers of smart contract for these AI agents services. SingularityNetAlgorithmiaOcean protocolOpenminedEffect.ai are a few such examples. Such innovation in blockchain technology can possibly prevent the dark future where user data can be weaponized through deep fake.

Decentralized ideas have grown inside our culture. The Internet was the first open source platform, enabler of value creation from artists, bloggers, thought leaders, techies and others, but which had been largely monopolized by the fat application layer monetized by the tech giants. It is time that after programmable money we take control of the truth. The truth that is not manufactured by any centralized authority but holds its ground in all continuums.

Otherwise it will not be that far, when truth is a commodity manufactured by the very few who preyed upon us.

The next Project Debater session happened today Feb 12th Tuesday at 9:30am PT about Blockchain, which was very interesting to hear. Digitizing the flow of goods, Information and money with Blockchain. This is happening at IBM, where Watson is acting as Project Debater. The link is here: https://www.ibm.com/events/think/watch/channel/23631238/

If you want to learn more behind technology and researches behind deep fake, you can read this research paper: https://arxiv.org/pdf/1805.11714.pdf

Written by Gayatri Sarkar

Gayatri Sarkar is a serial entrepreneur (2 startups), Blockchain VC and an Investor in the crypto market. She invested in Bitcoin in 2011 and considers Ray Dillinger (the early Bitcoin developer who worked with Satoshi) as her Blockchain mentor. She serves on the board of many blockchain companies working on AI, ML, financial SAFT and renewable energy. She is a Phd Physics drop out with an MBA. As an HKS alumnus, she chairs multiple development boards of the Harvard Kennedy School alumni.

She is currently a General Partner at a global Sports Blockchain VC Fund called SportVEST and co-founder of think tank BlockCAP.org (currently in stealth mode). Sarkar previously worked for a London-based macro hedge fund, managing their global VC blockchain portfolio and was a manager at the Federal Reserve Bank of Boston in charge of the  US military navy global payment system, highly confidential and their biggest fintech project. Sarkar has 12 yrs of experience managing big data strategy, multi-million dollar fintech projects, working for HP, IBM, Goldman Sachs, EU Bank and Hackernoon.