UDTR Global Rights of Nature Radar

Reimagining Consumer Redressal Mechanisms in AI-Driven Markets: The Case for Digital Mediation and Smart Regulation

Identification

Public canonical key

doi:10.47760/oajmr.2025.v01i02.003

Authors

Vikas Kumar Verma · Ashok Yadav

Reported year

2025

Reported language

en

Source type

article

First detected

2026-11-09T19:04:47.728950+00:00

Last metadata observation

2026-11-09T19:04:47.728950+00:00

Last HTTP verification

Not checked

Institutions reported by the source

Shri Venkateshwara University

Reported affiliation countries

IN

Documentary abstract — original language

The rapid proliferation of AI-driven markets has fundamentally altered the consumer landscape, necessitating a reimagining of traditional redressal mechanisms. Conventional dispute resolution methods are becoming inadequate in the face of AI algorithms increasingly mediating consumer interactions and decision-making processes. This conceptual paper explores how India can modernize its consumer redressal framework to respond effectively to the unique challenges posed by AI-driven markets. It critically assesses the limitations of existing consumer grievance mechanisms, examines the potential of Online Dispute Resolution (ODR), digital mediation, and AI-powered legal tools as future-forward solutions, and proposes a model for smart regulation that ensures consumer protection while encouraging responsible innovation in AI. The study draws upon a multi-disciplinary conceptual framework combining access to justice theory, legal pluralism, algorithmic accountability, and ODR and mediation theory. The literature review reveals a significant research gap in the absence of a coherent, AI-conscious consumer redressal ecosystem that aligns legal enforcement with emerging technological realities in India. The paper proposes a hybrid model for AI-informed grievance redressal, combining smart regulation principles with scalable digital mediation systems, tailored for the Indian regulatory and socio-economic context. It concludes with policy recommendations for institutionalizing ODR in consumer law, establishing algorithmic fairness and explainability norms, strengthening data governance, creating a legal framework for AI accountability, and building capacity through ethical AI standards.

Identifiers

OPENALEX

W4411026997

DOI

10.47760/oajmr.2025.v01i02.003

Documentary context

Documentary family

Scholarship

Source-reported types

article

Jurisdictions studied — explicit sources

IN

Natural entities mentioned

Ecosystem · Landscape

Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.

Sources

OpenAlex · Record 1 · Record 2

• DOI · https://doi.org/10.47760/oajmr.2025.v01i02.003
• OpenAlex · https://openalex.org/W4411026997

Documented bibliographic relations

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Documentary status

Relevance pending

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