[April Dream] A "Flight Recorder" for All AI. VeritasChain Inc.'s Vision for a World Where AI Governance is the Norm.
VeritasChain dreams of realizing an "AI flight recorder" that records and verifies AI decision histories cryptographically.
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 15:20
This company endorses April Dream, an initiative to make April 1st a day to share dreams. This press release is a dream of VeritasChain Inc. (Shibuya-ku, Tokyo, Representative: Tokatsu Kamimura).
VeritasChain Inc. (D-U-N-S: 698368529) advocates the dream of "equipping all AI with a flight recorder."
Just as flight recorders supporting aviation safety made air travel commonplace, we are seriously committed to realizing a future where infrastructure capable of cryptographically recording and verifying AI's decision history permeates every corner of society.
## ◼️ Our Dream ── A World Where "Trust Us" Is Unnecessary
By 2026, AI will have already permeated every aspect of our lives.
Automated execution of financial transactions, assistance in medical diagnosis, screening for recruitment, autonomous driving decisions, streamlining administrative procedures—now that AI has become an infrastructure driving society, a fundamental question arises:
"Did that AI truly make the correct decision?"
Currently, the answer to this question is often left to the operator's self-declaration: "Please trust our AI."
However, the aviation industry does not guarantee safety by saying "Please trust the pilot." It is precisely because there is an objective recording device called a flight recorder that accident causes can be investigated, recurrence prevented, and above all, passengers can fly with peace of mind.
VeritasChain Inc.'s dream is to bring the same infrastructure to the world of AI. Every decision made by AI will leave an unalterable cryptographic evidence.
Anyone can verify that record. A world where we can say, "Don't trust, verify for yourself," instead of "Please trust us." We call this "Don't Trust, Verify."
## ◼️ Why AI Needs a Flight Recorder Now
The evolution of AI is remarkable, and its benefits are immeasurable. However, at the same time, the risks that AI poses to society are also becoming apparent.
In the world of algorithmic trading, multiple cases have been reported where AI misjudgments instantly caused losses on the scale of hundreds of billions of yen.
If medical AI makes an incorrect diagnosis, there is no established standard means to retrospectively verify its decision-making process.
Even if recruitment AI unfairly excludes applicants with certain attributes, there is no mechanism to cryptographically prove that process.
Global regulatory authorities are also beginning to address this issue. The European Union's (EU) AI Act was enacted in 2024, and provisions regarding AI system log recording (Article 12) are scheduled to come into effect in August 2026. The US Colorado AI Act is also set to be enforced by the end of June 2026.
The demand to "record and make AI decisions verifiable" is no longer just an ideal but is becoming a legal obligation.
However, even if the law stipulates "keep logs," there is no global standard yet for "how to keep them," "how to prove they haven't been tampered with," or "how to ensure interoperability between different systems." This is the challenge we are addressing.
## ◼️ VeritasChain Protocol (VCP) ── The Technology to Realize AI Flight Recorders
We are developing the VeritasChain Protocol (VCP) as a concrete technology to realize this dream. VCP is an open technical standard that assigns digital signatures and hash chains to each decision made by AI and algorithmic systems, generating unalterable audit trails.
Just as an aircraft's flight recorder meticulously records "when, where, and what happened," VCP cryptographically records "when AI made what decision, based on what data, and with what result." This record can be independently verified by third parties, and even operators cannot alter it retrospectively.
VCP version 1.1 specifications have already been published and submitted to the IETF (Internet Engineering Task Force) with the aim of international standardization. Reference implementations on major trading platforms such as MetaTrader 5, cTrader, TradingView, and Interactive Brokers have also been completed.
## ◼️ VAP Framework ── From Algorithmic Trading to All AI Domains
VCP was initially created to ensure transparency in algorithmic trading. However, the challenge of "making AI decisions cryptographically verifiable" is not limited to the financial world.
Therefore, we have formulated the "VAP (Verifiable AI Provenance) Framework" as a higher-level framework for VCP. The VAP Framework is a meta-framework for extending the verifiability of AI decision history to all industrial domains.
In the future we envision, the following world will be realized under the VAP Framework:
- **Financial Transactions (VCP)**: A world where all algorithmic transactions are assigned cryptographic audit trails, allowing for immediate identification of the causes of market manipulation or flash crashes.
- **Content AI (CAP)**: A world where text, images, and videos generated by AI are cryptographically stamped with evidence such as "this content was generated by AI" or "AI rejected an inappropriate request." A society that can counter deepfakes and misinformation with technical authenticity proof.
- **Medical AI (MAP)**: A world where AI-assisted diagnosis and treatment plan decision processes are cryptographically recorded, enabling objective investigation of causes in the event of medical malpractice. A society where patient rights and medical professionals' accountability are protected by technology.
- **Autonomous Driving (DVP)**: A world where the decision history of autonomous vehicles is recorded like a flight recorder, clarifying responsibility in the event of an accident. A future where the social acceptance of autonomous driving technology progresses based on verifiability, not just trust.
- **Public Administration (PAP)**: A world where all AI-powered administrative decisions—welfare benefit screening, visa issuance decisions, recruitment selection—have cryptographic audit trails, allowing citizens to verify "why that decision was made."
## ◼️ A Future Where "Proof of Trust" Becomes Social Infrastructure
Our dream is not merely to popularize technology. It is to transform the relationship between AI and humans into a healthier and more sustainable one.
Currently, society's reaction to AI is largely polarized: those who unconditionally trust AI and those who excessively fear it. This division stems from the "invisibility" of AI's decision-making process.
What the flight recorder brought to the aviation industry was not just a recording device. It was a social infrastructure of "trust in safety." Everyone can fly with peace of mind because there is a system to investigate causes from objective records in the event of an emergency and lead to improvements.
AI also needs the same infrastructure. If AI decisions become cryptographically verifiable, there will be no need to "blindly trust AI" or "fear AI." We can evaluate and improve AI performance based on facts and build trust.
We also envision a dream of delivering this mechanism to society as a certification program called "VeritasChain Certified (VC-Certified)."
A system where AI system developers and operators can prove to third parties that cryptographic audit trails are correctly implemented in their AI. We believe that one day, the "VC-Certified" mark will become a symbol of trust in AI, just like aviation safety certifications.
## ◼️ 2030: A World Where AI Governance Is "Normal"
On April 1st, a day when cherry blossoms bloom, we share our dream.
By 2030, all high-risk AI systems will be equipped with cryptographic flight recorders, and regulatory authorities in over 50 countries worldwide will be able to verify these records in real-time.
The benefits AI has brought to society will have expanded many times over, and at the same time, citizens' trust in AI decisions will be backed by verifiable evidence.
Companies will not just say, "We use AI," but will proudly declare, "All AI decision histories are cryptographically verifiable."
Consumers will have the means to verify AI decisions themselves, without worrying, "Can I trust this AI?"
The development of AI will not stop. And it should not be stopped. AI is a technology that brings unprecedented possibilities to humanity.
However, to maximize its potential, accountability and verifiability of AI decisions are indispensable.
**"Don't Trust, Verify"**
This is not a slogan for engineers.
It is a philosophy for all who live with AI.
VeritasChain Inc. is seriously dreaming of realizing this philosophy through technology and creating a world where AI governance is not "special" but "normal."
A flight recorder for every AI.
That is our dream.
## ◼️ About VeritasChain Inc.
VeritasChain Inc. is a Japan-based technology company that promotes the development and dissemination of "VeritasChain Protocol (VCP)," a cryptographic audit trail standard for AI and algorithmic systems, and its higher-level framework, "VAP (Verifiable AI Provenance) Framework." The technical standards formulated by VSO have been submitted to regulatory authorities in over 50 jurisdictions worldwide, and the company is engaged in activities aimed at international standardization, including technical standard proposals to the IETF (Internet Engineering Task Force).
Company Name: VeritasChain Inc.
D-U-N-S Number: 698368529
Location: Shibuya-ku, Tokyo
Representative Director: Tokatsu Kamimura
Official Website: https://veritaschain.org
GitHub: https://github.com/veritaschain
Contact: [email protected] / [email protected]
## ◼️ About April Dream
"April Dream" is an initiative proposed by PR TIMES Corporation, where companies and organizations share their "dreams" on April 1st. We endorse the philosophy of April Dream, which aims to make this day a day to talk about dreams, not lies, and we are sharing our dream for a future where AI governance is widespread.
Keywords: VeritasChain, VCP, VAP, CAP-SRP, AI, Generative AI, AI Governance, April Dream
VeritasChain Inc. (D-U-N-S: 698368529) advocates the dream of "equipping all AI with a flight recorder."
Just as flight recorders supporting aviation safety made air travel commonplace, we are seriously committed to realizing a future where infrastructure capable of cryptographically recording and verifying AI's decision history permeates every corner of society.
## ◼️ Our Dream ── A World Where "Trust Us" Is Unnecessary
By 2026, AI will have already permeated every aspect of our lives.
Automated execution of financial transactions, assistance in medical diagnosis, screening for recruitment, autonomous driving decisions, streamlining administrative procedures—now that AI has become an infrastructure driving society, a fundamental question arises:
"Did that AI truly make the correct decision?"
Currently, the answer to this question is often left to the operator's self-declaration: "Please trust our AI."
However, the aviation industry does not guarantee safety by saying "Please trust the pilot." It is precisely because there is an objective recording device called a flight recorder that accident causes can be investigated, recurrence prevented, and above all, passengers can fly with peace of mind.
VeritasChain Inc.'s dream is to bring the same infrastructure to the world of AI. Every decision made by AI will leave an unalterable cryptographic evidence.
Anyone can verify that record. A world where we can say, "Don't trust, verify for yourself," instead of "Please trust us." We call this "Don't Trust, Verify."
## ◼️ Why AI Needs a Flight Recorder Now
The evolution of AI is remarkable, and its benefits are immeasurable. However, at the same time, the risks that AI poses to society are also becoming apparent.
In the world of algorithmic trading, multiple cases have been reported where AI misjudgments instantly caused losses on the scale of hundreds of billions of yen.
If medical AI makes an incorrect diagnosis, there is no established standard means to retrospectively verify its decision-making process.
Even if recruitment AI unfairly excludes applicants with certain attributes, there is no mechanism to cryptographically prove that process.
Global regulatory authorities are also beginning to address this issue. The European Union's (EU) AI Act was enacted in 2024, and provisions regarding AI system log recording (Article 12) are scheduled to come into effect in August 2026. The US Colorado AI Act is also set to be enforced by the end of June 2026.
The demand to "record and make AI decisions verifiable" is no longer just an ideal but is becoming a legal obligation.
However, even if the law stipulates "keep logs," there is no global standard yet for "how to keep them," "how to prove they haven't been tampered with," or "how to ensure interoperability between different systems." This is the challenge we are addressing.
## ◼️ VeritasChain Protocol (VCP) ── The Technology to Realize AI Flight Recorders
We are developing the VeritasChain Protocol (VCP) as a concrete technology to realize this dream. VCP is an open technical standard that assigns digital signatures and hash chains to each decision made by AI and algorithmic systems, generating unalterable audit trails.
Just as an aircraft's flight recorder meticulously records "when, where, and what happened," VCP cryptographically records "when AI made what decision, based on what data, and with what result." This record can be independently verified by third parties, and even operators cannot alter it retrospectively.
VCP version 1.1 specifications have already been published and submitted to the IETF (Internet Engineering Task Force) with the aim of international standardization. Reference implementations on major trading platforms such as MetaTrader 5, cTrader, TradingView, and Interactive Brokers have also been completed.
## ◼️ VAP Framework ── From Algorithmic Trading to All AI Domains
VCP was initially created to ensure transparency in algorithmic trading. However, the challenge of "making AI decisions cryptographically verifiable" is not limited to the financial world.
Therefore, we have formulated the "VAP (Verifiable AI Provenance) Framework" as a higher-level framework for VCP. The VAP Framework is a meta-framework for extending the verifiability of AI decision history to all industrial domains.
In the future we envision, the following world will be realized under the VAP Framework:
- **Financial Transactions (VCP)**: A world where all algorithmic transactions are assigned cryptographic audit trails, allowing for immediate identification of the causes of market manipulation or flash crashes.
- **Content AI (CAP)**: A world where text, images, and videos generated by AI are cryptographically stamped with evidence such as "this content was generated by AI" or "AI rejected an inappropriate request." A society that can counter deepfakes and misinformation with technical authenticity proof.
- **Medical AI (MAP)**: A world where AI-assisted diagnosis and treatment plan decision processes are cryptographically recorded, enabling objective investigation of causes in the event of medical malpractice. A society where patient rights and medical professionals' accountability are protected by technology.
- **Autonomous Driving (DVP)**: A world where the decision history of autonomous vehicles is recorded like a flight recorder, clarifying responsibility in the event of an accident. A future where the social acceptance of autonomous driving technology progresses based on verifiability, not just trust.
- **Public Administration (PAP)**: A world where all AI-powered administrative decisions—welfare benefit screening, visa issuance decisions, recruitment selection—have cryptographic audit trails, allowing citizens to verify "why that decision was made."
## ◼️ A Future Where "Proof of Trust" Becomes Social Infrastructure
Our dream is not merely to popularize technology. It is to transform the relationship between AI and humans into a healthier and more sustainable one.
Currently, society's reaction to AI is largely polarized: those who unconditionally trust AI and those who excessively fear it. This division stems from the "invisibility" of AI's decision-making process.
What the flight recorder brought to the aviation industry was not just a recording device. It was a social infrastructure of "trust in safety." Everyone can fly with peace of mind because there is a system to investigate causes from objective records in the event of an emergency and lead to improvements.
AI also needs the same infrastructure. If AI decisions become cryptographically verifiable, there will be no need to "blindly trust AI" or "fear AI." We can evaluate and improve AI performance based on facts and build trust.
We also envision a dream of delivering this mechanism to society as a certification program called "VeritasChain Certified (VC-Certified)."
A system where AI system developers and operators can prove to third parties that cryptographic audit trails are correctly implemented in their AI. We believe that one day, the "VC-Certified" mark will become a symbol of trust in AI, just like aviation safety certifications.
## ◼️ 2030: A World Where AI Governance Is "Normal"
On April 1st, a day when cherry blossoms bloom, we share our dream.
By 2030, all high-risk AI systems will be equipped with cryptographic flight recorders, and regulatory authorities in over 50 countries worldwide will be able to verify these records in real-time.
The benefits AI has brought to society will have expanded many times over, and at the same time, citizens' trust in AI decisions will be backed by verifiable evidence.
Companies will not just say, "We use AI," but will proudly declare, "All AI decision histories are cryptographically verifiable."
Consumers will have the means to verify AI decisions themselves, without worrying, "Can I trust this AI?"
The development of AI will not stop. And it should not be stopped. AI is a technology that brings unprecedented possibilities to humanity.
However, to maximize its potential, accountability and verifiability of AI decisions are indispensable.
**"Don't Trust, Verify"**
This is not a slogan for engineers.
It is a philosophy for all who live with AI.
VeritasChain Inc. is seriously dreaming of realizing this philosophy through technology and creating a world where AI governance is not "special" but "normal."
A flight recorder for every AI.
That is our dream.
## ◼️ About VeritasChain Inc.
VeritasChain Inc. is a Japan-based technology company that promotes the development and dissemination of "VeritasChain Protocol (VCP)," a cryptographic audit trail standard for AI and algorithmic systems, and its higher-level framework, "VAP (Verifiable AI Provenance) Framework." The technical standards formulated by VSO have been submitted to regulatory authorities in over 50 jurisdictions worldwide, and the company is engaged in activities aimed at international standardization, including technical standard proposals to the IETF (Internet Engineering Task Force).
Company Name: VeritasChain Inc.
D-U-N-S Number: 698368529
Location: Shibuya-ku, Tokyo
Representative Director: Tokatsu Kamimura
Official Website: https://veritaschain.org
GitHub: https://github.com/veritaschain
Contact: [email protected] / [email protected]
## ◼️ About April Dream
"April Dream" is an initiative proposed by PR TIMES Corporation, where companies and organizations share their "dreams" on April 1st. We endorse the philosophy of April Dream, which aims to make this day a day to talk about dreams, not lies, and we are sharing our dream for a future where AI governance is widespread.
Keywords: VeritasChain, VCP, VAP, CAP-SRP, AI, Generative AI, AI Governance, April Dream
FAQ
What is VeritasChain Protocol (VCP)?
It's an open technical standard that assigns digital signatures and hash chains to AI and algorithmic system decisions, generating unalterable audit trails.
Why does AI need a flight recorder?
To objectively record and verify AI decision processes, ensuring trustworthiness and accountability amidst rising risks of misjudgments and unfair decisions.
What fields will the VAP Framework be applied to?
It extends the verifiability of AI decision histories to all industrial domains involving AI, such as financial transactions, content AI, medical AI, autonomous driving, and public administration.