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“The Terminator,” “The Matrix,” “I, Robotic.”

All of those are movies the place machines develop into sentient and try to take over the world (or at the very least kill all people). It’s a preferred plot line as a result of it speaks to our deep-seated fears about expertise. Will our gadgets and the information they accumulate be used in opposition to us as we transfer towards Web3?

It’s not simply Hollywood paranoia. Lately, we’ve seen growing proof that our knowledge is being utilized in methods we by no means meant or anticipated. The Cambridge Analytica scandal confirmed how Fb knowledge was harvested and used to govern voters within the U.S. presidential election. 

Google has been fined for amassing knowledge from kids with out their father or mother’s consent. And facial recognition expertise is being utilized by regulation enforcement and companies with little regulation or oversight.


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On this article, we’ll delve into the risks of unfettered knowledge pipelines and the way blockchain expertise, notably as we transfer in direction of Web3, can doubtlessly cut back the opacity of the black field of algorithms.

The world runs on algorithms

We live in an age the place algorithms are more and more making selections for us. They determine what we see on social media, the adverts we would like and who will get a mortgage and who doesn’t. 

Algorithms will be easy, just like the one which decides what order to indicate ends in a search engine. Or they are often extra complicated, like those utilized by social media firms to determine which posts to indicate us in our newsfeeds. 

A few of these algorithms are designed to be clear. We all know how Google’s search algorithm works, for instance. However many others are opaque, which means we don’t understand how they work or what knowledge they use to make selections. 

This lack of transparency is regarding for numerous causes. For one, it could result in biased selections. If an algorithm is utilizing race or gender as a think about its decision-making, that bias can be mirrored within the outcomes. 

Second, opaque algorithms will be gamed. If we don’t understand how an algorithm works, we will’t determine recreation it. This is the reason many firms hold their algorithms secret — they don’t need individuals to govern the system. 

Lastly, opaque algorithms are tough to carry accountable. If an algorithm makes a mistake, it may be arduous to determine why or repair it. This lack of accountability is especially problematic when algorithms are used for vital selections, like whether or not or not somebody will get a mortgage or a job. 

The hazards of knowledge pipelines

The issue with algorithms is that they’re solely pretty much as good as the information they’re utilizing. If the information is biased, the algorithm can be biased. If the information is incomplete, the algorithm will make inaccurate predictions. 

And sometimes, the information that algorithms use is much from good. It comes from a wide range of sources, together with social media, sensors, and authorities databases. This knowledge is then collected and processed by a wide range of firms earlier than it ever reaches the algorithm. 

Every step on this course of introduces potential errors and biases. Social media knowledge, for instance, is usually unrepresentative of the inhabitants as an entire. And sensors will be inaccurate. The result’s an information pipeline that’s typically opaque, biased, and tough to carry accountable. 

Admittedly, killer robots lean in a bit in direction of the fantastical — however there are extra discrete methods on your knowledge to be exploited by the powers that be. So what’s your knowledge getting used for? Listed below are some potentialities:

How your knowledge is used

  • To attain your political opinions and manipulate you throughout election season
  • To promote you merchandise you don’t want
  • To trace your location and actions
  • To focus on you with adverts
  • To stop you from getting a job or mortgage

These are just some examples — the checklist goes on. And it’s not simply companies which can be doing this. Authorities businesses are utilizing knowledge to trace residents, predict crime, and even battle wars. 

Briefly, knowledge is getting used to manage and manipulate individuals in a wide range of methods. And sometimes, these makes use of are hidden from the people who find themselves being affected. 

Web3 and the potential of blockchain-based knowledge markets

One potential answer to the issues with knowledge pipelines is a blockchain-based data market. In such a market, knowledge can be collected and saved on a decentralized community. 

This might have a number of benefits. For one, it will make the information pipeline extra clear. We’d know the place the information got here from and the way it was collected. Additionally, it will make the information extra reliable. If the information is saved on a decentralized community, it will be a lot tougher to govern. This sort of knowledge storage may develop into an much more vital idea as we transfer towards Web3.

Lastly, it will make the information extra accessible. Anybody would be capable of entry the information and use it to construct algorithms. Privateness wouldn’t be a difficulty as a result of the information can be anonymized and there are mechanisms to stop misuse.

For example,  the Ocean Protocol is a decentralized knowledge trade protocol that allows knowledge sharing whereas sustaining knowledge privateness. It’s constructed on the Ethereum blockchain and makes use of good contracts to make sure that knowledge is simply shared with events who’ve permission to make use of it. 

The Ocean Protocol may very well be used to create an information market the place knowledge is collected, saved, and distributed in a clear and trustless approach. This might enable knowledge for use extra effectively and will assist to unravel among the issues with the present knowledge pipeline.

In fact, you’ll be able to see how this is among the biggest frontiers of Web3 since knowledge is the lifeblood of the brand new web.

Overcoming the challenges of blockchain-based knowledge markets

It’s vital to notice {that a} blockchain-based knowledge market just isn’t an ideal answer. There are nonetheless some challenges that have to be addressed. For example, it’s not clear how knowledge can be priced in such a market. 

The blockchain group must be proactive in taking part in and growing knowledge markets. In any other case, they run the danger of being left behind because the centralized platforms proceed to dominate.

Folks will be capable of deal with their knowledge as an asset — however the correct infrastructure must be in place first. A method to do that is to develop knowledge wallets that might enable individuals to manage their knowledge and obtain compensation for sharing it. 

The uPort platform — now cut up into Serto and Veramo — is one instance of an information pockets that’s being developed on the Ethereum blockchain. uPort permits customers to manage their id, private data, and knowledge. It additionally permits them to share this data with others in a safe and decentralized approach.

Information high quality is crucial

One other problem is knowledge high quality. In a centralized system, knowledge is managed by a single entity. Because of this the information is extra prone to be correct and of top of the range. 

In a decentralized system, nevertheless, there isn’t a single supply of reality. Because of this the standard of knowledge can fluctuate significantly. Information high quality is a vital situation that must be addressed for Web3 and blockchain-based knowledge markets to achieve success.

A possible repair for the information high quality situation is to make use of knowledge curation markets. In these markets, individuals can be incentivized to supply correct and high-quality knowledge. The iGrant knowledge pockets platform is one instance of an information curation market that’s being developed on the Ethereum blockchain.

These are simply among the challenges that have to be addressed. If they are often overcome, blockchain-based knowledge markets have the potential to revolutionize the best way that knowledge is collected, saved and distributed.

The following article will cap off our Web3 collection, placing every little thing we’ve talked about collectively to see the large image of how knowledge, crypto, blockchain, and Web3 will form the web — and the world — within the years to come back. Keep tuned!

Daniel Saito is CEO and cofounder of StrongNode.

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