GRF · AI and Digital Governance

Dialogues and cooperation

Institutional dialogues in AI and Digital Governance: structured conversations that compare evidence and options among the people who decide.

01Workspace

The workspace for dialogues and cooperation.

Action week

Universe · AI and digital governance · Week 37 · Example interface, not a record

Week plannedGRF · AI and Digital Governance

Tracks

controlled sessions

MonTueWedThuFri0910111213141516Impact assessment clinicLiability roundtableRegister reviewProcurement standardsStand-down and hot washObserver briefing

Observer notes

  1. O-1Escalation path unclear between cellsTrack 12 h
  2. O-2Data hand-off worked as designedTrack 24 h
  3. O-3Public message drafted before verificationTrack 38 h
Action week.Illustrative interface; not live data.

AI and Digital Governance · Action week. Action week: example names and illustrative values, not a record.

02Status

Dialogues are listed when confirmed.

Each dialogue appears here once confirmed, with its host, format and terms. To propose one, write to the registration form.

03The AI governance dialogue

Matching oversight to how a system is actually used.

AI governance dialogues start from a deployment, not a model: a benefits agency’s eligibility scoring, a police force’s analytics, an operator’s predictive maintenance. The questions follow the lifecycle: who approved the use, what was assessed, who monitors drift, who can stop it and how affected people contest outcomes.

FormatUse
Deployment reviewOne system examined by its deployer, oversight body and affected users
Procurement dialoguePublic buyers on contract terms for transparency and audit
Cross-jurisdiction comparisonHow the same use is treated under the EU AI Act, the Council of Europe convention and national rules
04Process

How the process runs.

Process

Dialogues and cooperation: Hazard, exposure, vulnerability

In IPCC AR6 Working Group II, climate risk results from interactions between hazards and a system’s exposure and vulnerability, and responses can add risk.

  1. 01 Drivers

    1. 01HazardDataset · Data protection authorityThe potential occurrence of a natural or human-induced physical event or trend that may harm people, property, services or ecosystems.
    2. 02ExposureDataset · Data protection authorityThe presence of people, livelihoods, species, ecosystems, infrastructure or assets in places and settings that could be adversely affected.
    3. 03SensitivityDataset · Data protection authorityThe degree to which a system or species is affected, either adversely or beneficially, by climate variability or change.
    4. 04Capacity to cope and adaptDataset · Data protection authorityThe ability of systems, institutions, humans and other organisms to adjust to damage, take opportunities or respond to consequences.
  2. 02 Assessment

    1. 05Risk from responsesComponent · Data protection authorityRisks from climate responses arise when responses miss their objectives, or from trade-offs or negative side effects.
    2. 06VulnerabilityComponent · Data protection authorityThe propensity or predisposition to be adversely affected. It includes sensitivity to harm and lack of capacity to cope and adapt.
    3. 07RiskModel · AI and Digital GovernanceRisk results from dynamic interactions between hazards and the system’s exposure and vulnerability. Each may be uncertain and change.
  3. 03 Response

    1. 08Risk management and responseStep · Data protection authorityRisk management is plans, actions, strategies or policies that reduce the likelihood or size of adverse consequences.
    2. 09Residual riskRecord · Data protection authorityThe climate impact risk that remains after adaptation and mitigation efforts. Adaptation can redistribute risk between areas and groups.
  4. 04 Decision

    1. 10Decision by the responsible partyDecision · Data protection authorityThe framing names no single decision maker. Decisions on responses rest with the responsible party under its own rules.

Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval.

06Sources

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

07Questions

Questions and answers.

Are dialogues public?
Each dialogue states its format. Outcome notes are published with participants’ consent.
AI and Digital Governance

Bring a governance question to the Forum.

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