A news source highlighted the company’s recent progress as well as the prospects for proof-of-humanity technology in a recent interview with the Human Protocol technical director.
The HUMAN Protocol is a blockchain project that was created in 2015 to enable the expansion of digital job marketplaces by decentralizing human labor.
The system, which was just put on the Ethereum Mainnet, is capable of automating the whole process of data tagging and is now in beta testing. As a consequence, people and robots may now collaborate to do a variety of mundane tasks more effectively.
HUMAN users may earn HMT in return for doing anti-bot visual tasks like identifying traffic lights in an image grid. This data is being gathered to help in the elimination of labor market biases, which can contribute to the creation of a more circular gig economy.
A news source met with Harjyot Singh, technical director of Human Protocol, to gain a deeper understanding of the ramifications of recent events.
He is a well-known fintech engineer with a background in computer science and artificial intelligence on an international scale. Harjyot is well-known for his contributions to the creation of digital payment systems powered by artificial intelligence.
He is especially interested in “how cutting-edge technologies such as artificial intelligence and blockchain might help enhance the daily lives of the vast majority of internet users.”
NS: Is it correct to assert that HUMAN’s latest announcements (including its debut on the main Ethereum network and the introduction of the CAPTCHA web application) will aid the protocol’s development?
Harjyot Singh: “We are pleased with our recent successes,” Harjyot Singh stated. We will be able to launch the first instance of the decentralized job market known as the HUMAN as a result of the HUMAN Protocol being deployed on the Ethereum Mainnet. Additionally, the following is pertinent to the protocol’s evolution:
On a near-daily basis, the HUMAN Protocol currently manages an extraordinarily high amount of user interactions. The first Mainnet deployment will take place on the Ethereum blockchain, but it is meant to be interoperable with several other blockchains. This is where we will benefit from and use all we learn and discover, most notably in the case of Solana and Polkadot.
HMT was listed on the stock market following its initial public offering, allowing our HUMAN community to flourish. Individuals, on the other hand, stand to benefit the most from the HUMAN App, which acts as both the gateway to the HUMAN ecosystem and the first opportunity to earn HMT for engaging in pleasurable activities.
Additionally, it’s critical to recognize that the HUMAN app is more than a CAPTCHA solution; it enables users to perform several functions.
NS: The majority of readers are probably aware of Google’s reCAPTCHA security software. What are the advantages of a human-centric approach to the identification, and how does the HUMAN model vary technologically from other identification models?
HS: The hCaptcha program is not an official component of the HUMAN Foundation; rather, it is an unaffiliated product that utilizes the HUMAN Protocol. The purpose of HUMAN is to tokenize a broad variety of human activities, rather than just the limited set of operations that a CAPTCHA algorithm can handle.
Rather than paying websites for the work their users expend while attempting to solve CAPTCHAs, the hCaptcha approach enables Google to profit from that effort by giving it for free.
NS: Vitalik Buterin argued for a paradigm shift in his remarks at DeFi’s conference, advocating for a proof-of-humanity approach to government. What effect, if adopted widely, do you feel it would have on the industry?
HS: I believe that it will help to make DeFi a more equitable workplace. Because cryptocurrenct whales can influence the direction of a proposal based on the amount of money in their wallet, complications arise when proposal results are dispersed based on the amount of money in the wallet.
Each validated individual would receive one vote based on their “Proof of HUMANITY,” minimizing the chance of bots becoming a problem in the future. Because the Proof of HUMANITY is the only on-chain verification mechanism now available, an on-chain DeFi world becomes a viable alternative.
Even if Proof of HUMANITY has intrinsic limits, this does not mean that new uses are impossible. In the future, Proof of HUMANITY may be utilized to address bot-related concerns, such as frontrunning on bitcoin exchanges.
NS: Are you able to provide me with any actual instances of HUMAN contracts that have been enabled by a marketplace that makes use of Intel’s CVAT and INCEPTION video and image recognition systems?
HS: A firm that makes use of artificial intelligence is on the lookout for 100,000 images of car damage that may be recognized. They send over the photos and a sum of HMT to be retained in the intelligent contract till the work is finished.
Additionally, HUMAN Protocol agents maintain the data’s security throughout transmission and prepare it for usage by Intel CVAT, which is then intelligently assigned tasks via HUMAN Exchanges (who could be running on different chains – and the work is sent to different chains depending on speed, cost, etc.).
The worker will need to gain access to Intel CVAT work via an exchange. To complete granular automotive damage repair, he will draw a circle around the affected region of the vehicle and then examine the work. Once the employees have discharged their duties, the oracles update the smart contract, which now contains HMT as a reserve for them.
NS: When employing HMT and the worker token value linked with the task assignment, how do you calculate task assignment priority?
HS: In deciding the number of jobs that should be given to a single person or group of persons, we examine indications of balance. By adding weighted averages to additional parameters, the system becomes less frictional, allowing for faster user recruitment.
NS: In your perspective, how much technological and cultural understanding do you feel AI and machine learning systems possess when it comes to allowing HUMAN’s scalability?
HS: Artificial intelligence systems’ present intelligence is well-suited to performing certain tasks. In summary, they are best suited to tasks that need accuracy and linearity, such as GPS, chatbots, and Amazon’s Kiva bot, which is responsible for delivering Amazon’s items between their warehouse and their workforce.
Even though artificial intelligence (AI) is superior at specialized intelligence, which is the realm of adaptability, responsiveness, and flexibility, humans have a clear advantage in the realm of general intelligence.
I believe that we are culturally prepared to embrace the next generation of artificial intelligence. Artificial intelligence devices are becoming increasingly integrated into our daily lives, ranging from facial recognition on smartphones to robotic vacuum cleaners. However, I believe that people overestimate artificial intelligence’s current capabilities because everyone believes that AI is more intelligent and capable than it is.
This is because we’ve been discussing artificial intelligence since the 1950s, but haven’t seen consistent progress, as we did during the 1980s AI winter. For instance, even though autonomous vehicles have not yet realized their full potential, they have been ingrained in our culture. I believe we are prepared; it is only a matter of folks awaiting the arrival of the required materials.
NS: Given the trend toward greater automation in the economy, how critical is it for us to develop systems in which machines serve human values and desires?
HS: The ramifications of artificial intelligence are examined, as are the various fears humans have about robots taking over jobs, which are addressed in depth. Rather than supplanting human labor, technology, in our judgment, augments it.
It is intelligent automation that enables robots to do a higher number of corrective actions, freeing up humans to focus their time, energy, and attention on more important duties and responsibilities. Although people possess extraordinary abilities that robots lack — such as creativity, inventiveness, and imagination – machines are superior at repetitive jobs.
Due to their capacity to provide both general and specialized input while simultaneously being increasingly time-limited, the infrastructure required to support the growth of knowledge workers grows extremely well. Providing highly skilled staff with the knowledge they need to make confident judgments is another way to increase public safety.
The HUMAN Protocol enables robots to undertake repetitive activities and solicit assistance from others. Our mission is to assist individuals in developing their skills and enable them to spend more time addressing problems creatively.