AI Governance & Risk

Ethical AI | Algorithmic Accountability | Emerging Regulations

Overview

Artificial Intelligence (AI) is transforming industries, but it also introduces new legal, ethical, and regulatory challenges. Questions around bias, transparency, explainability, accountability, and data protection are central to the responsible deployment of AI.

The AI Governance & Risk practice at RP Law Chambers addresses these challenges by aligning legal frameworks, ethical considerations, and compliance standards with business innovation. The practice bridges Indian regulatory developments with global standards such as the EU AI Act and OECD AI Principles.

Scope of Practice

AI Policy & Governance Frameworks

  • Drafting internal AI governance charters for enterprises
  • Setting up AI oversight committees and ethical guidelines
  • Policy frameworks for human oversight and accountability in automated systems

Algorithmic Accountability & Risk Mitigation

  • Legal review of AI system decision-making processes
  • Assessment of bias, discrimination, and fairness risks
  • Documentation of AI lifecycle risks (design, training data, deployment)
  • Recommendations for transparency, explainability, and auditability

Compliance & Regulatory Alignment

  • Advisory on India’s upcoming AI guidelines and policy papers
  • Mapping compliance with the EU AI Act, OECD AI Principles, and international benchmarks
  • Structuring compliance for AI-driven fintech, healthcare, education, and SaaS solutions

AI & Data Integration

  • Legal risk analysis for AI models trained on personal or sensitive data
  • Overlap with DPDP Act obligations and cross-border data compliance
  • Contractual safeguards in AI vendor agreements and cloud-based AI solutions

Representative Experience

  • Advisory for tech startups deploying AI in customer analytics and risk profiling.
  • Drafting internal AI policy frameworks for enterprises in fintech and healthcare.
  • Cross-border compliance analysis of AI tools using EU data and algorithms.
  • Risk audits for SaaS platforms deploying machine learning models.

(Client identities remain confidential)

Approach

The AI Governance & Risk practice is based on:

  • Proactive risk assessment – addressing issues before regulatory or ethical breaches occur.
  • Tech-law synergy – working with technical teams to integrate compliance into AI systems.
  • Global benchmarking – aligning Indian operations with international best practices.
  • Ethical foresight – ensuring AI deployment is not only legally compliant but socially responsible.

Relevant Laws & Frameworks

  • Digital Personal Data Protection Act, 2023 (India)
  • EU AI Act (pending enforcement)
  • OECD AI Principles
  • NITI Aayog AI Strategy (India)
  • Sectoral AI policies (Fintech, Healthcare, Education)
  • GDPR (where AI processes personal data)

Knowledge & Engagement

RPLC actively contributes through:

  • Research on AI regulation and ethics in India
  • Knowledge papers on balancing innovation and regulation
  • Guest lectures and panel discussions on AI governance

Policy roundtables exploring AI adoption and accountability frameworks