Arbitrability Of Conflicts Linked To Digital Climate-Risk Modelling Systems
1. Introduction: Digital Climate-Risk Modelling Systems
Digital climate-risk modelling systems are advanced analytical platforms used by governments, financial institutions, insurers, infrastructure developers, and corporates to:
Model climate-related physical and transition risks
Support ESG disclosures and regulatory reporting
Guide infrastructure planning and investment decisions
Assess catastrophe exposure and resilience strategies
Integrate satellite data, AI models, and predictive analytics
These systems are deployed under SaaS licences, consultancy-cum-technology contracts, PPP arrangements, and long-term data-service agreements.
Disputes arise due to model inaccuracies, data-quality failures, non-compliance with evolving climate norms, liability for decision losses, IP ownership issues, and termination/payment conflicts.
2. Legal Framework Governing Arbitrability
Under the Arbitration and Conciliation Act, 1996, disputes are arbitrable if they:
Concern rights in personam
Arise from commercial or contractual relationships
Are not barred by statute or public policy
Although climate risk has public interest implications, disputes concerning digital climate-risk modelling systems are contractual and commercial, making them generally arbitrable.
3. Arbitrable and Non-Arbitrable Aspects
3.1 Arbitrable Disputes
Breach of accuracy, update, or methodology obligations
Failure to integrate datasets or deliver agreed analytics
SLA disputes relating to uptime or model refresh cycles
IP ownership and licensing conflicts
Payment, milestone, and termination disputes
Contractual indemnity claims for third-party losses
3.2 Non-Arbitrable Matters
Statutory climate-policy formulation
Environmental enforcement or penalty proceedings
Public law challenges to climate regulations
However, contractual consequences flowing from regulatory action remain arbitrable.
4. Tribunal Approach to Climate-Risk Modelling Disputes
Arbitral tribunals typically:
Interpret model-scope, disclaimer, and limitation-of-liability clauses
Evaluate expert evidence on climate science and modelling assumptions
Apply reasonable care and best-efforts standards, not outcome guarantees
Distinguish predictive modelling from decision-making responsibility
Recognise dynamic regulatory environments through change-in-law analysis
Tribunals avoid adjudicating climate policy, focusing on contractual risk allocation.
5. Key Case Laws Supporting Arbitrability
5.1 Vidya Drolia v. Durga Trading Corporation (2020)
Principle Established:
Disputes involving private contractual rights are arbitrable unless they concern sovereign or public law functions.
Relevance:
Climate-risk modelling contracts involve private rights and obligations.
5.2 Booz Allen & Hamilton Inc. v. SBI Home Finance Ltd. (2011)
Principle Established:
Only disputes involving rights in rem or exclusive statutory remedies are non-arbitrable.
Relevance:
Conflicts over modelling systems involve rights in personam.
5.3 A. Ayyasamy v. A. Paramasivam (2016)
Principle Established:
Mere allegations of fraud do not bar arbitration.
Relevance:
Claims of misleading climate models can be arbitrated if contractual.
5.4 NHAI v. ITD Cementation India Ltd. (2015)
Principle Established:
Infrastructure contracts with public bodies are arbitrable.
Relevance:
Climate-risk systems are embedded in public infrastructure and PPP projects.
5.5 McDermott International Inc. v. Burn Standard Co. Ltd. (2006)
Principle Established:
Arbitral tribunals are final judges of technical and factual matters.
Relevance:
Evaluation of climate models and datasets lies within tribunal competence.
5.6 ONGC Ltd. v. Saw Pipes Ltd. (2003)
Principle Established:
Court interference is limited to patent illegality or public policy violations.
Relevance:
Awards assessing complex modelling disputes receive judicial deference.
5.7 Delhi Airport Metro Express Pvt. Ltd. v. DMRC (2022)
Principle Established:
Courts should not re-appreciate technical findings of arbitral tribunals.
Relevance:
Climate-risk modelling disputes are highly technical and expert-driven.
6. Interaction with Climate and ESG Regulations
Digital climate-risk modelling systems interact with:
Environmental protection laws
Climate disclosure and ESG frameworks
Financial-sector risk-management guidelines
Arbitral tribunals:
Do not determine regulatory standards
May apply change-in-law or regulatory-change clauses
Can allocate contractual liability arising from regulatory shifts
7. Remedies Commonly Granted by Tribunals
Tribunals may award:
Damages for breach of modelling or service obligations
Fee adjustments or refunds
Declaratory relief on IP ownership and termination
Contractual indemnity (where agreed)
Directions for data handover or transition support
Punitive or policy-driven remedies remain outside arbitral authority.
8. Conclusion
Conflicts linked to Digital Climate-Risk Modelling Systems are largely arbitrable because they:
Arise from private commercial and technology contracts
Involve rights in personam
Require expert technical assessment
Align with India’s pro-arbitration jurisprudence
Arbitration provides an effective forum for resolving such disputes while preserving regulatory and environmental public-law oversight.
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