Home > News > Business > S&P Global Report reveals that AI and blockchain can work together
A recent report by S&P Global, “Cryptography and AI: Shaping the Future of the Internet,” explains how blockchain technology can alleviate some of the issues and risks associated with artificial intelligence (AI).
While AI has already brought many benefits and will continue to do so, S&P Global’s report highlights several issues related to privacy, accountability, censorship, bias, cyber threats, data traceability, and even data center energy usage. The risks are highlighted.
This is something we’ve been talking about at CoinGeek for years. Finally, it seems like other countries around the world are starting to catch on.
Blockchain as an immutable source of truth
When talking about blockchain technology and digital currencies, most people first discuss the fiat price of Bitcoin or Ethereum. But that is gradually changing, and a report from S&P Global shows that.
Governments, businesses, and institutions are starting to realize what blockchain technology is and how it can help solve real problems. In other words, a blockchain is a digital ledger that contains a time-stamped record of every transaction that has ever occurred. The record starts at the first block and continues when one honest node remains.
How will this help with the risks associated with AI? The S&P Global report explores how it can help improve transparency and auditability, and how some blockchain projects are using micropayments. describes how to collect data from IoT sensors. Let’s dig deeper and look at some examples.
Transparency, auditability and compliance
AI models make decisions, and so do the people who design and improve them. If you can store an immutable record of each of these on a scalable, low-cost public blockchain like BSV, anyone can audit your model.
This will reduce risk, create true transparency, and in turn create much-needed accountability in the AI industry. As AI regulations take shape globally, a verified record of who did what, where, when, and why will help businesses and organizations alike who must prove they are compliant with regulations. It also makes the work of regulators easier.
Source of data
A further growing issue related to AI is the provenance of the data. Where does the data the models are trained on come from, and how accurate is it? There have already been several high-profile lawsuits in which artists are suing OpenAI and others for misusing their work.
Another related issue is that AI models “hallucinate” when given incorrect answers due to poor training data. Validating data input, ensuring data has not been tampered with, and proving the source will change AI for the better. Paying micropayments for access to data you create can also help confirm data authenticity and reduce legal risks. A scalable blockchain can help with that.
Privacy, censorship, and bias
More and more people are concerned about privacy when using AI. Where does the information we share with LLM go? What happens to the photos we edit with AI tools? Will AI assistants and agents collect data about us in the same way that social media companies do?
Distributed management of data goes some way to alleviating these concerns. Blockchain-specific tools such as zero-knowledge proofs, homomorphic encryption, and multi-party computation have the potential to make AI models and their linked apps much better than their Web 2.0 counterparts from a privacy perspective. There is.
When it comes to censorship, blockchains are managed by decentralized nodes and are therefore immune to censorship by default. If a censor mislabels AI-generated content, it can be verified as authentic by tracking both the transactions associated with its creation and the data it relied on. may be.
Companies like FICO are already using blockchain technology to remove bias from AI models. Transparency and accountability in AI decision-making is critical, especially in areas that directly impact people’s lives, such as credit scoring and legal decisions.
The era of blockchain utilities is growing exponentially
It’s great to see S&P Global and other companies recognizing how blockchain can be used as a force for good. After many years, the usefulness of this powerful technology is coming to the forefront. Much of the BSV ecosystem has been working this way for years, but the utility era is slowly spreading beyond the BSV ecosystem.
Of course, to realize these benefits, a single immutable blockchain would need to scale to accommodate all transactions worldwide. With the re-emergence of multiple sets of books (private blockchains) controlled by vested interests, transparency will be lost.
Currently, only one proof-of-work blockchain, the BSV blockchain, can handle this request. Anyone interested in how blockchain can create transparency and accountability across many industries, including supply chain, cybersecurity, AI, and more, should learn more about BSV.
For artificial intelligence (AI) to function properly within the law and succeed in the face of growing challenges, it must integrate enterprise blockchain systems that ensure the quality and ownership of data input. This makes it possible to ensure data security while also guaranteeing immutability. of data. To learn more about why enterprise blockchain is the backbone of AI, check out CoinGeek’s coverage of this emerging technology.
Watch: Blockchain and AI unlock potential
title=”YouTube Video Player” Frameborder=”0″allow=”Accelerometer; Autoplay; Clipboard writing; Encrypted media; Gyroscope; Picture-in-picture; Web sharing” Referrerpolicy=”strict-origin-when-cross-origin “allowfullscreen=””>
