Nuklai Founder Discusses How Blockchain Secures AI | Airdrop Alert Pro

As artificial intelligence (AI) continues to penetrate the smallest corners of daily life, doubts about its reliability are also growing. Concerns about opaque algorithms, unethical data practices and a lack of accountability are becoming widespread.

BeInCrypto sat down with Nuklai founder Matthijs de Vries to discuss whether blockchain might be the solution.

Artificial Intelligence’s “black box” problem, and why blockchain could be the answer

In public discussions, blockchain is often discussed only in conjunction with cryptocurrencies. Recently, however, it has become an unexpected ally of artificial intelligence.

Artificial intelligence technology may be able to change public perceptions by leveraging blockchain’s ability to create transparent, auditable records of data usage, model training, and algorithmic decision-making.

artificial intelligence system Often referred to as a “black box,” decisions are made without providing much visibility into how those decisions are actually made. This lack of clarity is particularly problematic in key areas such as finance, healthcare and politics, where the stakes are high. Naturally, this leads to a wavering of public perceptions of its reliability.

According to KPMG, three in five people (or 61%) skeptical About trusting artificial intelligence systems. 67% of respondents reported low to moderate acceptance of AI. In the industrial sector, AI applications in human resources are the least trusted and accepted, while AI applications in healthcare are the most trusted and accepted.

Nuklai founder Matthijs de Vries believes Blockchain offers a solution.

“Blockchain plays a key role in enhancing transparency and trust in AI by establishing clear ownership of data and AI models. With blockchain, every transaction and modification is securely recorded, allowing anyone to create Clear traces of verification,” de Vries said in an interview with BeInCrypto.

The decentralized nature of blockchain is Built on transparency, In this particular context, this is a huge strength. This approach is a game changer for AI development when it comes to using data ethically.

“High-quality, large-scale data is critical to the development of artificial intelligence, but access to this data is becoming increasingly limited. Blockchain provides a way to fairly reward data contributors and ensure ethical data use approach,” DeVries said.

Blockchain and artificial intelligence in science and finance

This is especially related to healthcare. Blockchain-enabled AI tools in healthcare could augment data, according to Digital Health Frontier Safety and improve patient trust by: Promote transparent data sharing practices.

This is critical as AI tools become more reliant on broad and diverse data sets to avoid bias. If blockchain integration is implemented, healthcare systems can ensure that their AI tools are properly trained and that patient information can be protected.

In the financial sector, blockchain has become a cornerstone of transparency. According to the Journal of Business Research, the banking industry accounts for nearly 30% of blockchain adoption, making the industry its largest supporter, and for good reason.

Blockchain can help track artificial intelligence systems used for fraud detection or investment management, ensuring data integrity and regulatory compliance. This combination is powerful as financial institutions integrate AI systems into decision-making processes that require significant accountability and public trust.

Advances in other areas

In addition to these areas, blockchain-powered AI can also increase transparency in politically sensitive areas. AI systems in public policy or election surveillance may face scrutiny due to unclear algorithms. Blockchain’s ledger records every AI decision-making step, ensuring verifiability and increasing accountability.

One of blockchain’s most important contributions to artificial intelligence is its ability to resolve disputes. Blockchain provides immutable records of data and processes, providing indisputable evidence of AI bias accusations. The same logic applies to creative industries For example, artificial intelligence marketing can solve intellectual property issues or advertising fraud.

“Blockchain eliminates the middleman and gives you proof that something is authentic. This creates trust between advertisers, publishers and consumers. It also helps stop ad fraud and ensures advertisers get their The price paid,” one researcher famous in a letter.

Blockchain can not only help consumers trust advertisers. it helps marketing company Do their job too. One of the biggest issues facing traditional advertisers is the lack of transparency around ad tracking and verification. As a result, it’s difficult for advertising agencies to know whether real people actually saw their ads.

Blockchain solves this problem by creating a permanent record of ad views, clicks, and other interactions. The technology also reduces direct communication between advertisers and publishers, completely eliminating middlemen such as ad networks or agencies.

Solve scalability and interoperability challenges

Despite this huge potential, combining blockchain with artificial intelligence is no easy task. Scalability remains a significant hurdle. By design, blockchain networks require massive amounts of computing power, and combining this with resource-hungry AI systems exacerbates this challenge.

According to a study by SpringerLink, many blockchain platforms Listed Since “Production Ready” is still in the experimental stage, frequent updates can cause compatibility issues. These limitations make it difficult to implement blockchain solutions at scale, especially for complex artificial intelligence projects.

Interoperability is another question mark. a study publish IEEE Xplore highlights the lack of standardization of blockchain platforms, which creates fragmentation and slows adoption. Due to these inconsistencies, it is difficult for developers to integrate blockchain systems with existing artificial intelligence frameworks.

“User experience in Web3 remains a significant hurdle. Many tools and platforms are not yet intuitive, making the learning process difficult curve For those new to blockchain development,” de Vries added.

However, progress is coming. Cross-industry collaboration and open source development are paving the way for scalable and user-friendly blockchain solutions. DeVries believes there is hope.

“We are seeing an increase in joint efforts and ecosystem building, with multiple projects working together to develop shared frameworks and solutions,” de Vries concluded.

As blockchain adoption continues to grow (Statista estimates the global market will reach $1.2 trillion by 2032), the integration of these technologies has the potential to redefine trust in systems that impact communities around the world.

While some may be increasingly skeptical of artificial intelligence, blockchain offers a path toward transparency. It ensures that machines not only think, but think responsibly. Whether it’s protecting patient data, optimizing financial systems or holding AI systems accountable, blockchain may just be the saving grace that ends the AI ​​woes.