Artificial Intelligence and Blockchain - A Match Made in Heaven

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1 day ago

Source: Cointelegraph Original: "{title}"

Author: Dr. Merav Ozair

From Bill Gates to Sundar Pichai to Jensen Huang, tech moguls are continuously predicting the arrival of the artificial intelligence revolution, suggesting that agent-based AI and robotics will replace our jobs and become our autonomous assistants in both professional and personal lives.

Whether these scenarios unfold in a few years or a few decades, we are likely to enter the future in some way, with technology reshaping our lives once again. However, without the support of blockchain technology, it will be difficult, if not impossible, for agent-based AI and robotics to develop to the extent that their proponents hope.

If we expect these services and devices to act autonomously, security, privacy, transparency, and accountability will be our primary concerns. These are precisely the areas where blockchain excels, as it can support the weaknesses of AI and facilitate the expansion and development of this vision.

Blockchain technology can significantly enhance the security of AI models by leveraging its key features such as decentralization, immutability, traceability, smart contracts, data privacy, and authentication. For example, but not limited to:

Decentralization eliminates single points of attack, improving the resilience of AI models against vulnerabilities.

The immutability of blockchain ensures that the data used to train AI models and the models themselves cannot be tampered with illegally, thus maintaining the integrity of the models.

Every change or decision made by AI models can be audited and traced through the blockchain, providing unparalleled transparency and accountability.

Smart contracts can automatically enforce rules for data access and usage, preventing unauthorized or unethical use of AI models.

Smart contracts can ensure that data is used only for training and testing, and accessed by authorized personnel, locking out options for other purposes. Combining these rules with secure multi-party computation can prevent or at least mitigate adversarial attacks on AI.

Blockchain allows for secure multi-party computation, ensuring data privacy during the training of AI models by keeping the data decentralized.

The secure authentication provided by blockchain prevents unauthorized access, thereby enhancing the security of AI systems.

Combining AI with blockchain can create a secure, transparent, traceable, and decentralized AI environment that protects our privacy, strengthens accountability, and embodies responsible AI.

AI agents and robots are programmable. The intelligent touchpoints that drive digital assets are also programmable. Therefore, it is entirely reasonable for digital assets to become the preferred payment method for agents to humans and agents to agents (including robots).

Cryptocurrency is a programmable currency native to the internet, offering several advantages in driving an agent-based economy. As AI agents become more autonomous and engage in large-scale microtransactions, the efficiency, borderlessness, and programmability of cryptocurrency will make it a more popular medium of exchange than traditional fiat currencies.

Recently: Sentient's open-source AI search outperforms GPT-4o and Perplexity

The true intersection of Web3 and agent-based AI in financial transactions may emerge through new tokens and protocols tailored for this use case. These tokens and protocols can extend the functionality of stablecoins by integrating specific features of agents.

In this scenario, payments can utilize a dedicated asset that agents can use for quality control. Penalty policies can punish underperformers, while validators can resolve disputes based on task quality.

Additionally, the reputation of agents can be directly tied to their token stakes. By incorporating rules through smart contracts, users can control their autonomous workers/assistants and can shut them down or even "turn off the switch" when AI agents begin to exhibit dangerous behavior.

If Goldman Sachs wishes to create AI agents that think and act like experienced employees in highly regulated industries, posing significant risks to the extreme stability of the financial system and markets, it will be crucial to control these AI agents with programmable tokens rather than leaving it to chance.

While this approach requires advancements in Web3 and agent-based AI, it is not as far-fetched as it may seem.

Blockchain development company Skyfire recently launched a payment platform that allows AI agents to autonomously consume. The platform, led by former Ripple Vice President of Products and Services Amir Sarhangi, enables businesses to provide AI agents with a preloaded wallet.

The company's protocol converts cash into USD Coin (USDC). In early March, Skyfire launched a payment network that enables AI agents to conduct autonomous transactions.

Using digital assets for transactions involving robots, VR devices, and AI agents has transcended the realm of transactional payment models. It can enhance user experience and security, enabling unprecedented infinite business models.

Let’s wait and see how all of this develops and whether other companies will follow suit.

However, there are certain risk issues that need to be addressed, and we should at least be mindful of how to mitigate these risks. In this regard, we should carefully consider the security measures discussed earlier.

Many people are currently focused on the development of AI—generative AI, agent-based AI, reasoning models, physical world models, and so on—all centered around the premise that AI is the only technology we need to achieve large-scale autonomous agents.

This approach to building products has a tunnel vision aspect and is somewhat shortsighted: it fails to recognize what else needs to be accomplished in the development and scaling of the ecosystem beyond advancements in AI models.

While AI is advanced, it cannot exist independently and requires the support of blockchain technology—a programmable match made in heaven. Therefore, we must approach this from multiple angles. We should think about and treat AI and Web3 from the perspectives of innovation, regulation, and infrastructure. This is the cornerstone of a successful agent economy.

"Dreams need a solid foundation," and now is the time to build that dream.

Author: Dr. Merav Ozair

This article is for general informational purposes only and is not intended and should not be construed as legal or investment advice. The views, thoughts, and opinions expressed in this article are solely those of the author and do not necessarily reflect or represent the views and opinions of Cointelegraph.

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