Over the past few decades, AI (Artificial Intelligence) has evolved from a science-fiction cliche to an essential component of everyday technology. More than half a century later, thanks to its growth, we’re firmly entrenched in the age of machine learning. This technology imitates human intelligence, enabling machines to contemplate, judge, and reach their own decisions. 

AI leverages computers, data, and sometimes machines to mimic the problem-solving and decision-making capabilities of the human mind. It also encompasses the sub-fields of the machine and deep learning, which use AI algorithms trained on data to make predictions or classifications, ultimately becoming smarter over time. The benefits of AI include automation of repetitive tasks and improved decision-making.

Many growing ventures currently exist that combine the power of AI with robust blockchain technology to deliver highly-secure solutions – AIWork is one platform working to achieve just that. It provides a marketplace of crowdsourced AI Human Experts to help create, verify and validate AI data sets, making AI smarter and safer. 

But why is that required? We’ll explore these reasons and more about how AIWork sets itself apart from the rest.

AI and Data Security

It’s worth noting that AI has its share of drawbacks – there are many ethical implications that companies should consider prior to implementing and integrating this level of advanced technology. 

One of these implications is data security. How can businesses ensure that their data is secure when using AI in their operations? This is a significant concern for many organizations using AI technology.

AI and data security are closely related given that AI relies on data in order to learn. Data security is an essential part of AI because, without it, we cannot trust the results and predictions made by the machines. And without trust, there’s no use for AI in business. It’s essential to ensure data safety from hackers and parties with malicious intent. 

This is where blockchain comes into the picture. 

AI and Blockchain 

Blockchain is a shared, immutable ledger that simultaneously provides an immediate and transparent exchange of encrypted data to multiple parties as they initiate and complete transactions. The blockchain can track orders, payments, accounts, production, and more. Because permissioned members share a single view of the truth, they gain confidence and trust in their transactions with other businesses and new efficiencies and opportunities. 

Blockchains enable and improve upon the offerings of AI in multiple ways:

  • Authenticity: A blockchain’s digital record offers insight into the framework behind AI and the provenance of the data used, addressing the challenge of explainable AI. This helps improve trust in data integrity and in the recommendations that AI provides. Using blockchain to store and distribute AI models provides an audit trail, and pairing blockchain and AI can enhance data security. 
  • Augmentation: AI can rapidly and comprehensively read, understand, and correlate data at incredible speeds, bringing a new level of intelligence to blockchain-based business networks. By providing access to large volumes of data from within and outside of the organization, blockchain helps AI scale to provide more actionable insights, manage data usage and model sharing, and create a trustworthy and transparent data economy.
  • Automation: AI, automation, and blockchain can bring new value to business processes that span multiple parties — removing friction, adding speed, and increasing efficiency. For example, AI models embedded in smart contracts executed on a blockchain can recommend expired products to recall or execute transactions. 

AI and Decentralization 

Unlike AI based-projects, blockchain technology creates decentralized, transparent networks that can be accessed by anyone around the world in public blockchain networks. While blockchain technology is the ledger that powers cryptocurrencies, blockchain networks are now being applied to several industries (such as AI) to create decentralization.

Decentralized AI has incredible potential across businesses, science, and collective people. Altogether, it will allow devices to overcome the adversity of real-world challenges by reasoning and trial and error while recording the results.

For instance, over the next few years, devices that are learning through a decentralized AI network would benefit from those that have come before them and all of the other devices currently existing in the network. They can leverage that domain knowledge gathered and convert that data into knowledge. Through decentralized AI, people will have a definitive and continual structure in place that explains how things work.

Notably, homomorphic encryption, GAN cryptography, and secured multi-party computations are some techniques that offer ways of securely distributing datasets among many counterparts and ensuring the confidentiality of data.

Blockchain and AI Algorithms 

As AI algorithms become smarter through learning, it will become increasingly difficult for data scientists to understand how these programs come to specific conclusions and decisions. This is because AI algorithms can process incredibly large amounts of data and variables. However, we must continue to audit decisions made by AI, as we want to ensure they’re still reflecting reality.

Through blockchain technology, there are immutable records of all data, variables, and processes used by AIs for their decision-making processes, making it far easier to manage and perform a quality check of the entire process.

With the appropriate blockchain programming, all steps from data entry to conclusions can be observed, and the governing party will be sure that this data has not been tampered with. It creates trust in the conclusions drawn by AI programs. 

The Bottom Line

It’s now become clear that combining AI with blockchain has the potential to use data in ways never before thought possible. Take AIWork for example – it provides an open, distributed, and crowd-sourced community for transcription and translation work, completely revolutionizing how AI is leveraged.

AIWork’s ecosystem is open for use by third parties, including content distributors, publishers, and advertisers, helping it achieve broad adoption and network effects benefiting all participants. 

To learn more about the project and what they’re building, navigate here.

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