Research Document No. 13 Archival Records within Intelligent Archival Ecosystems Towards the concept of Intelligent Archival Records

 

PDS & Ged/A | Research Notes

Research Document No. 13

Archival Records within Intelligent Archival Ecosystems

Towards the concept of Intelligent Archival Records

10 July 2026

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🌎 Open Science

The PDS & Ged/A Research Notes are part of an ongoing Open Science initiative dedicated to documenting the evolution of our research programme in Digital Archival Science. Rather than presenting definitive conclusions, these documents openly share emerging concepts, evolving hypotheses and future research agendas, inviting the international archival community to participate in the collective development of new archival knowledge.

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📚 What have we learned so far?

Throughout the first twelve Research Notes our research programme gradually developed into a coherent scientific agenda for Digital Archival Science.

We proposed Systemic Digital Preservation.

We introduced the concept of Digital Archival Ecosystems.

We reinterpreted the OAIS Reference Model through an archival perspective.

We expanded the meaning of the Chain of Archival Digital Custody.

We explored the convergence between the European archival tradition, Information Science, the iSchools movement and Computational Archival Science.

More recently we introduced the concepts of Archival Algorithmic Governance, Intelligent Archival Ecosystems and discussed the education of future archivists.

Yet one question remained unanswered.

What role will archival records themselves play within these emerging ecosystems?

This Research Note begins exploring that question.

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🔄 How our research question evolved

Initially we asked:

How should digital archival records be preserved?

Later we investigated:

How should authenticity be maintained?

How can institutional trust be preserved?

How should intelligent agents be governed?

How should future archivists be educated?

Today our question changes once again.

Can archival records actively participate in Intelligent Archival Ecosystems without losing their nature as documentary evidence?

Perhaps this question represents another important step in the evolution of Archival Science.

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Archival records remain at the centre

A superficial interpretation of Artificial Intelligence might suggest that algorithms will eventually replace archival records.

Our research indicates precisely the opposite.

The more intelligent computational systems become,

the more important archival records become.

Because records remain the primary location where evidence,

institutional decisions,

accountability,

provenance,

context

and organisational memory are preserved.

Artificial Intelligence does not diminish the importance of archival records.

It reinforces their centrality.

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📓 Laboratory Notes

During one of our research seminars someone asked an unexpected question.

"What if archival records themselves begin interacting with intelligent systems?"

Initially we assumed this was merely a metaphor.

Yet the discussion gradually evolved.

Digital records may trigger preservation workflows.

Generate PREMIS events.

Update access status.

Activate institutional policies.

Communicate with intelligent agents through structured metadata.

At that moment we realised something important.

We were not imagining intelligent records.

We were imagining archival records participating within Intelligent Archival Ecosystems.

That distinction fundamentally changed our thinking.

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🏛️ A Conceptual Proposal

Towards the concept of Intelligent Archival Records

We have begun exploring the hypothesis that an Intelligent Archival Record should not be understood as a record possessing intelligence.

Instead, we propose understanding it as:

A digital archival record capable of interacting with Intelligent Archival Ecosystems through structured metadata, preservation events, institutional policies and interoperable services while preserving authenticity, provenance, archival context and the Chain of Archival Digital Custody.

In this proposal,

the intelligence belongs to the ecosystem—

not to the record itself.

This distinction is essential.

It preserves the documentary nature of archival records while acknowledging their participation in increasingly intelligent institutional environments.

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Beyond descriptive metadata

For decades metadata have primarily been understood as descriptive mechanisms.

Perhaps we are entering a new phase.

Metadata may increasingly:

• activate preservation policies;

• control access restrictions;

• generate PREMIS events;

• communicate with intelligent agents;

• populate knowledge graphs;

• support Retrieval-Augmented Generation (RAG);

• enable automated auditing;

• strengthen active transparency;

• facilitate interoperability across archival platforms.

Metadata therefore become more than descriptive.

They gradually become operational components of archival governance.

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💡 One of our research findings

The more intelligent archival ecosystems become,

the more essential high-quality archival metadata become.

Without provenance.

Without context.

Without authenticity.

Without documentary evidence.

Trustworthy Artificial Intelligence within archival environments becomes impossible.

Perhaps archival quality is itself a prerequisite for trustworthy AI.

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PREMIS as a language of interaction

Our discussions gradually suggested another possibility.

PREMIS events may eventually evolve beyond preservation documentation.

They may become active communication mechanisms connecting archival records,

preservation platforms,

institutional policies

and intelligent agents.

A PREMIS event might indicate:

• that a legal restriction has expired;

• that a migration workflow should begin;

• that a digital signature requires verification;

• that a checksum has changed;

• that an access policy should be executed;

• that a preserved record should become publicly available.

Under this interpretation,

PREMIS evolves from preservation metadata into an active component of Archival Algorithmic Governance.

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Archivematica, AtoM and intelligent agents

Imagine a digital archival record preserved within Archivematica.

A PREMIS event records that the legal restriction period has expired.

Automatically:

• an intelligent agent verifies institutional policy;

• another updates access permissions;

• AtoM publishes the archival description;

• a Retrieval-Augmented Generation environment incorporates the new documentary context;

• an institutional transparency portal provides public access;

• every computational action generates new PREMIS events.

Nothing occurs without documentary evidence.

Nothing interrupts the Chain of Archival Digital Custody.

Automation remains fully accountable.

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⚖️ An Archival Dilemma

When archival records begin triggering automated institutional processes,

where does the record end

and where does the system begin?

Perhaps that boundary will become increasingly difficult to define.

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Records that communicate

Archival records obviously do not "think."

Nor do they make autonomous decisions.

Yet their metadata increasingly communicate with:

institutional policies;

knowledge graphs;

ontologies;

RAG architectures;

local AI models;

preservation systems;

intelligent agents;

digital repositories.

Perhaps the future of archival interoperability lies precisely in this structured dialogue among documentary components.

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🔬 An unexpected outcome of our seminar

Initially we expected a considerable gap between classical archival theory and contemporary Artificial Intelligence architectures.

Instead, we observed remarkable convergence.

The more intelligent digital environments become,

the more important authenticity,

provenance,

context,

documentary evidence

and the Chain of Archival Digital Custody become.

Artificial Intelligence does not reduce the need for Archival Science.

It strengthens it.

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The record remains sovereign

Perhaps this represents our most important conclusion.

Archival records remain archival records.

They do not become intelligent agents.

They do not replace archivists.

They remain documentary evidence.

What changes is the environment surrounding them.

Intelligent Archival Ecosystems expand their possibilities for preservation,

access,

transparency,

reuse,

institutional accountability

and public trust.

The intelligence belongs to the ecosystem.

The evidence remains within the archival record.

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🤔 A hypothesis we partially revised

Initially we believed Artificial Intelligence would primarily transform archival systems.

Today we increasingly suspect that its greatest impact lies elsewhere.

Artificial Intelligence transforms the relationships among records,

metadata,

institutional policies,

preservation infrastructures

and intelligent agents.

That distinction fundamentally reshapes our research agenda.

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🌱 A hypothesis under construction

Perhaps the concept of the Intelligent Archival Record will eventually become a new conceptual category within Digital Archival Science.

Not because records themselves become intelligent.

But because they increasingly participate in Intelligent Archival Ecosystems governed by archival principles.

Whether this hypothesis will prove sustainable remains to be investigated.

Nevertheless, it has already begun guiding our research programme.

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🧭 Research Agenda

During the coming months we intend to investigate several interconnected questions.

• How should Intelligent Archival Records be modelled?

• How can archival policies be represented through operational metadata?

• How should PREMIS, RiC-CM, Knowledge Graphs and intelligent agents interact?

• How can emerging protocols such as the Model Context Protocol (MCP) support trustworthy communication between intelligent agents and archival records while preserving authenticity, provenance and documentary context?

• How can archival records remain reliable evidence within highly automated institutional environments?

• How should the "intelligence" of an archival ecosystem be evaluated without confusing technological sophistication with institutional trustworthiness?

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🔭 Looking toward 2040

If our hypotheses prove correct,

archival records may gradually cease being viewed merely as preserved digital objects.

Instead,

they may become recognised as active documentary components participating within Intelligent Archival Ecosystems while fully preserving their evidential character.

Perhaps that represents the next major chapter in Digital Archival Science.

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💬 Let's continue the conversation

How do you imagine archival records participating within Intelligent Archival Ecosystems?

Which interactions should become automated?

Which decisions should always remain under human archival responsibility?

How can authenticity,

accountability,

documentary evidence

and public trust be preserved within increasingly intelligent institutional environments?

We would genuinely welcome your thoughts.

They may contribute to the next stage of this collective research programme.