Gestion des risques de l'IA
Les systèmes d'IA ne dysfonctionnent pas bruyamment. Ils dysfonctionnent silencieusement — par le biais de biais, de dérive, d'opacité et d'une responsabilité mal définie.
L'intelligence artificielle ne crée pas les défaillances de gouvernance. Elle révèle celles qui existent déjà.
La gouvernance d'abord
Le risque, la responsabilité et la clarté des décisions avant les outils.
La capacité est le moteur de l'action
Systèmes internes qui subsistent lorsque les personnes changent.
L'IA responsable
Adoption éthique, conforme et contextuelle.
Mise en œuvre du programme
Des projets pilotes aux programmes durables.
La plupart des organisations déployant l'IA se concentrent sur ce que les systèmes peuvent faire.
Peu se concentrent sur ce qui pourrait mal tourner.
- Biais algorithmique faussant les décisions qui affectent la vie des gens
- Les échecs de qualité des données corrompent les sorties à grande échelle
- Dépendances fournisseurs sans supervision ni stratégie de sortie
- Manque de transparence rendant les décisions impossibles à expliquer ou à justifier
- Operational failures with no incident response protocols.
Ce ne sont pas des risques théoriques.
Ce sont des échecs documentés qui ont entraîné des pertes financières, des mesures réglementaires et des atteintes à la réputation.
What AI Risk Management means?
AI risk management is not about compliance. It is about control.
A structured approach to identifying, assessing and managing the risks introduced by AI systems before they become incidents, failures or regulatory issues.
It ensures that AI systems remain predictable, accountable and defensible.
It focuses on five categories of risk that matter most in institutional environments:
The five risks - we address
Notre approche s'articule autour de trois piliers qui s'attaquent aux points d'échec les plus courants et les plus coûteux de l'adoption du numérique institutionnel et de l'IA.
1 - Algorithmic Risk
Bias, discrimination and unfair outcomes embedded in model design or training data.
Impact: Unlawful decisions, reputational damage, regulatory exposure.
What we assess:
- Representativeness of training data
- Fairness across demographic groups
- Output monitoring for discriminatory patterns
- Alignment with Règlement européen sur l'IA requirements for high-risk systems.
2 - Data Risk
Failures in data quality, integrity and governance that compromise AI outputs.
Impact: Incorrect decisions, data breaches, compliance violations. What we assess:
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3. Transparency and Explainability Risk
AI-driven decisions that cannot be explained, reconstructed or justified.
Impact: Loss of trust, inability to defend decisions, regulatory risk.
What we assess:
- Explainability of model outputs
- Audit trail completeness
- Right to explanation for users and stakeholders
- Reporting capability for boards and regulators
4 - Third party and vendor risk
Dependencies on external AI providers without sufficient oversight or safeguards.
Impact: Loss of control, contractual exposure, systemic risk.
What we assess:
- Vendor governance maturity
- AI-specific contractual clauses
- Data processing agreements
- Exit strategies and data portability
- Alignment with DORA (where applicable)
5. Operational and Continuity Risk
System failures, model drift and lack of human oversight mechanisms.
Impact: Service disruption, unsafe outputs, unmanaged incidents.
What we assess:
Human-in-the-loop controls
Model drift monitoring
Fallback and override mechanisms
Business continuity planning for AI systems
When things go wrong: AI Incident response
AI risk management is not only about prevention.
It is about being prepared when failure occurs.
Every engagement includes a structured AI incident response protocol:
- Clear notification procedures and escalation paths
- Incident classification based on severity
- Immediate actions to contain impact
- Communication to affected users and stakeholders
- Identification of regulatory notification obligations
- Full documentation for audit, accountability and learning.
In regulated environments, an undocumented incident is as damaging as the incident itself.
Ce que cet engagement apporte
- A comprehensive AI risk register covering all identified risks, with inherent, residual and target risk scores.
- A prioritised mitigation plan with clearly defined actions, ownership and implementation timelines.
- Vendor risk assessments, including contractual gap analysis and recommended AI-specific clauses.
- EU AI Act risk classification for each AI system in scope, aligned with applicable obligations (based on the Règlement européen sur l'IA).
- Un Évaluation de la fiabilité de l'IA à travers votre portefeuille, sur la base de ALTAÏ cadre.
- A structured AI incident response protocol adapted to your organisation’s governance model and regulatory context.
- Documentation prête pour l'audit suitable for regulators, boards, donors and key stakeholders.
- Internal capability development, enabling your teams to manage AI risks independently after the engagement.
Engagement options
Évaluation des risques de l'IA
2 à 5 jours
Pour les organisations qui ont besoin d'un rapid, independent view of their current AI risk exposure before scaling or committing further investment.
Livrable :
A prioritised AI risk register with actionable mitigation recommendations.
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AI Risk Management Programme
3 à 6 mois
Pour les organisations prêtes à design and implement a complete AI risk management framework, from risk identification to monitoring, incident response and governance.
Produits livrables :
- Comprehensive AI risk register
- Mitigation action plan with clear ownership
- Vendor risk assessments
- Structured incident response protocol
- Documentation prête pour l'audit.
Ongoing Risk Advisory
6 mois, renouvelable
Pour les organisations qui ont besoin continuous risk oversight and governance support as their AI systems evolve and regulatory expectations increase.
Produits livrables :
- Embedded risk advisory
- Quarterly risk reviews
- Regulatory monitoring and compliance updates
- Incident response support
Option de conseil élargi
Pour les organisations qui ont besoin d'un soutien stratégique durable et de haut niveau.
Partenariat consultatif de 6 mois renouvelable
Il comprend un accès direct à l'expertise des hauts fonctionnaires, des conseils en matière de gouvernance au niveau de la direction et une participation structurée aux processus de prise de décision stratégique.
Disponible sur demande.
AI risk does not disappear when ignored. It compounds.
The organisations that succeed with AI are not those that move fastest.
They are those that remain in control.
