Rethinking Alternative Dispute Resolution For Consumer Justice In Ai-Enabled Financial Advice In India
Abhishree BasavannaSep 20, 202610.5281/zenodo.22856632
The blend of artificial intelligence (AI) into financial advisory assistance has substantially reshaped the facilities of investment advice, portfolio management, credit assessment and financial planning in India. AI-enabled services, such as robo-advisors and algorithm-driven financial tools. These services promise streamlined, economical and customized decision processes. Although, the gradual increase in the reliance on automated financial advice also amplifies the serious concerns for consumer justice, especially with respect to the algorithmic opacity, biased outcomes, data misuse, deceptive sales tactics and ambiguous attribution of liability in cases of financial harm. Traditional litigation mechanisms are often inadequately equipped to address these challenges that come about from AI-enabled financial services due to their technical complexity, prolonged timelines and gaps in domain-specific judicial expertise in algorithmic decision-making. Consequently, consumers may experience crucial limitations in accessing timely and effective remedies. This paper advances the view that Alternative Dispute Resolution (ADR) presents a practical and prospective framework to tackle consumer complaints in AI-enabled financial advice. However, provided it is revisited to manage such challenges arising from algorithmic systems. The study analyses remodelling the outlook of AI-powered financial advisory services in India. It also looks into the fundamental consumer safeguards from the challenges posed by the automated decision-making processes. With reference to the existing regulatory frameworks regulating financial services, consumer protection and data privacy, it emphasises the gaps in dealing with concerns particular to AI-driven financial advice. The analysis is further informed by empirical research on consumer engagement with AI-based financial advisory platforms, where proactive disclosure, clarity of decision-making and answerability concerns are shown through the improved adoption. In light of these circumstances, the paper examines how alternative dispute resolution mechanisms address challenges arising from AI-driven financial advice. The paper explores the development of technology-responsive ADR frameworks, including the establishment of specialized fintech mediation panels and the integration of technical expertise into dispute resolution, complemented by regulatory oversight to ensure fairness and protect consumers. It further draws on comparative insights from international practices in fintech dispute resolution to inform and strengthen the Indian context. The paper discusses that rethinking ADR methods for AI-enabled financial advisory challenges are utmost essential for innovation in digital finance with the necessities of consumer justice. A well-developed, comprehensible and transparent ADR framework can become instrumental in protecting the consumer interests while focusing on the responsible growth of AI-driven financial services in India.