The rise of the machines: What your knowledge is getting used for







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

All of those are movies the place machines change into sentient and try and take over the world (or not less than kill all people). It’s a well-liked plot line as a result of it speaks to our deep-seated fears about know-how. Will our gadgets and the knowledge they acquire 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 control 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 know-how 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 hazards of unfettered knowledge pipelines and the way blockchain know-how, notably as we transfer in the direction of Web3, can probably scale 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 resolve what we see on social media, the adverts we’d like and who will get a mortgage and who doesn’t. 

Algorithms could 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 corporations to resolve 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, that 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 actually result in biased selections. If an algorithm is utilizing race or gender as a consider its decision-making, that bias might be mirrored within the outcomes. 

Second, opaque algorithms could be gamed. If we don’t understand how an algorithm works, we will’t determine methods to sport it. For this reason many corporations hold their algorithms secret — they don’t need individuals to control the system. 

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

The risks of knowledge pipelines

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

And infrequently, the info 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 corporations 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 a complete. And sensors could be inaccurate. The result’s a knowledge pipeline that’s usually opaque, biased, and tough to carry accountable. 

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

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 forestall you from getting a job or mortgage

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

In brief, knowledge is getting used to regulate and manipulate individuals in a wide range of methods. And infrequently, 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 resolution to the issues with knowledge pipelines is a blockchain-based knowledge market. In this kind of market, knowledge can be collected and saved on a decentralized community. 

This might have a number of benefits. For one, it could make the info pipeline extra clear. We’d know the place the info got here from and the way it was collected. Additionally, it could make the info extra reliable. If the info is saved on a decentralized community, it could be a lot more durable to control. Any such knowledge storage might change into an much more essential idea as we transfer towards Web3.

Lastly, it could make the info extra accessible. Anybody would be capable to entry the info and use it to construct algorithms. Privateness wouldn’t be a difficulty as a result of the info can be anonymized and there are mechanisms to forestall 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 sensible contracts to make sure that knowledge is barely shared with events who’ve permission to make use of it. 

The Ocean Protocol might be used to create a knowledge market the place knowledge is collected, saved, and distributed in a clear and trustless manner. This might permit knowledge for use extra effectively and will assist to resolve a few of the issues with the present knowledge pipeline.

After all, you may see how this is likely one of 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 essential to notice {that a} blockchain-based knowledge market shouldn’t be an ideal resolution. There are nonetheless some challenges that should 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 chance of being left behind because the centralized platforms proceed to dominate.

Individuals will be capable to deal with their knowledge as an asset — however the proper infrastructure must be in place first. A technique to do that is to develop knowledge wallets that might permit individuals to regulate their knowledge and obtain compensation for sharing it. 

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

Information high quality is crucial

One other problem is knowledge high quality. In a centralized system, knowledge is managed by a single entity. Which means the info is extra prone to be correct and of top quality. 

In a decentralized system, nevertheless, there isn’t any single supply of reality. Which means the standard of knowledge can range significantly. Information high quality is a crucial challenge that must be addressed for Web3 and blockchain-based knowledge markets to achieve success.

A possible repair for the info high quality challenge 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 a knowledge curation market that’s being developed on the Ethereum blockchain.

These are simply a few of the challenges that should 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 subsequent article will cap off our Web3 sequence, placing every little thing we’ve got talked about collectively to see the massive image of how knowledge, crypto, blockchain, and Web3 will form the web — and the world — within the years to return. Keep tuned!

Daniel Saito is CEO and cofounder of StrongNode.


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