AlgoAudit India is a pre-deployment audit tool that helps Indian employers check their hiring criteria and screening prompts for potential bias, privacy risks, and legal compliance concerns — before they're used to screen real candidates.
An employer enters a job description or the criteria they plan to use (either written by a person or fed into an AI screening tool). The system runs it through a hybrid analysis engine: a deterministic rule layer catches well-known problem patterns (age cutoffs, location filters, career-gap penalties, gendered or marital-status language, excessive personal data requests), and an LLM-based layer catches subtler or more novel phrasing. Together they flag potential risks, explain why each one is a concern, map it to relevant Indian legal/regulatory areas for the team to verify, and suggest a rewritten, job-relevant version of the criteria. A human reviewer then approves or edits the recommendation, and the whole audit — original criteria, findings, and final decision — is saved as a downloadable PDF report.
The problem it solves: hiring criteria and AI screening tools can unintentionally encode bias — an age cutoff, a "no career gap" rule, a location radius — that looks neutral on paper but disproportionately filters out qualified candidates from certain groups. Most of the time nobody catches this until it's already been used, or until it becomes a legal or reputational problem. AlgoAudit catches it at the design stage, with a transparent, explainable process instead of a black-box "reject" decision, and — importantly — it flags potential risk for human review rather than declaring anything definitively illegal, keeping a person in the loop for the final call.