Algorithmic Impact Assessment

Emerging — no standalone Indian provision yet; related to DPDP Section 11(2)

An Algorithmic Impact Assessment (AIA) is a structured evaluation of the potential effects of an automated decision-making system on individuals and groups. While not yet mandated by a standalone Indian statute, AIAs are emerging as a best practice for organisations using AI for credit scoring (RBI-regulated), insurance underwriting (IRDAI), and employment decisions. Under the DPDP Act, Data Principals have the right to information about processing, which includes understanding how algorithmic decisions affect them. The EU AI Act (2024) requires AIAs for high-risk AI systems, and Indian regulators are expected to follow with similar sectoral requirements.

An Algorithmic Impact Assessment is, at present, a best-practice discipline rather than a freestanding Indian statutory mandate, but it is increasingly relevant where institutions use automated systems for credit scoring, insurance underwriting or employment decisions. Under the DPDP Act 2023, data principals have a right to information about how their data is processed, and the entry links this to Section 11(2), so an AIA helps an institution explain and defend automated decisions that affect individuals. In practice, counsel advises documenting how a scoring or decision model uses personal data, what risks of unfairness or error it carries, and what human oversight exists — so that if a borrower questions an adverse algorithmic decision, the institution can show a reasoned, accountable process. With the EU AI Act (2024) requiring such assessments for high-risk systems and Indian regulators expected to follow sectorally, early adoption reduces future retrofitting. Getting it wrong leaves automated decisions unexplained and indefensible. Well-advised institutions assess high-impact algorithms before deployment.