Can an Employee Challenge Algorithmic Decision-Making at Work?

A resume never reaches a recruiter because a screening model scored it below a cutoff. A delivery rider opens the app one morning to find the account frozen, with no name attached to the decision and no number to call. A software engineer’s productivity dashboard flags them for a performance conversation they did not see coming.

Software makes the call in each case, and the person on the receiving end wants to contest it. Whether they can, and how far they get, depends less on the technology than on which worker category they fall into and which law applies. All of this revolves around the very concept of algorithmic decision-making.

Indian workplaces have moved fast on automated decision-making. IT services majors like TCS, Infosys, and Wipro run AI across volume recruitment and campus hiring, quick-commerce and ride-hailing platforms manage entire workforces through allocation and rating engines, and productivity dashboards have become routine in enterprise performance management. The law governing whether a person can push back on those systems has moved much slower, and it is being written right now in courtrooms rather than settled in statute.

Does Indian Law Give Employees a Right to Challenge an Algorithm?

There is no single, portable right in Indian law to contest a decision made by software. What exists is a patchwork that varies by worker type, and the strongest protections sit with gig workers rather than salaried staff. That inversion surprises people who assume permanent employees hold more legal ground.

The Digital Personal Data Protection Act, 2023 is the closest thing to a general data-rights law, and it is thinner on automated decisions than most assume. The text carries no equivalent of the GDPR’s Article 22, no right against solely automated decision-making, and no right to an explanation of a decision’s logic.

The rights it does confer run to access, correction, erasure, and grievance redressal, published by the Ministry of Electronics and Information Technology and operationalised through the DPDP Rules notified on 13 November 2025. A worker can ask what data an employer holds and ask to correct it. They cannot demand to know why the model ranked them where it did.

That gap matters because it shifts the ground of any challenge. Without a statutory right to an explanation, an employee contesting an automated outcome has to reach for older tools: principles of natural justice, the terms of their contract, and whatever sector-specific law applies.

Where You Stand Depends on Which Kind of Worker You Are

The practical answer splits cleanly by context. A rejected job applicant, a monitored employee facing termination, and a deactivated gig worker are standing on very different legal footing, even when the underlying complaint is identical.

Hiring and Rejection

An applicant screened out by an ATS or scored by a video-interview model has the weakest position of the three. No employment relationship exists yet, so labour law does not attach, and the DPDP Act gives no route to interrogate the screening logic. A candidate can request their personal data and correct errors in it, which occasionally surfaces a fixable problem like a misparsed resume, but there is no mechanism to compel a company to justify a rejection.

The exposure here is real and growing. Bias in screening models is well documented, and Indian recruiters know it, as TPB’s reporting on AI resume screening in India lays out. The check on that risk stays voluntary, resting on internal audits rather than any right the candidate can invoke.

Performance and Termination

A salaried employee flagged by a productivity system or an algorithmic rating sits on firmer ground, though not because of any AI-specific law. Their protection flows from the employment relationship itself. Termination has to follow the contract and, for workmen under the Industrial Disputes Act, 1947, the process the statute prescribes. An employee can dispute a dismissal before a labour court regardless of whether a human or a model triggered it.

What they cannot easily do is force disclosure of the algorithm that flagged them. Surveillance-driven performance management raises its own questions, which TPB has examined in the debate over employee surveillance versus privacy. The employee’s leverage lies in the dismissal itself rather than in the software that recommended it. Once the case runs through the channels that already govern dismissals, the algorithm becomes a piece of evidence rather than the thing being fought over.

Gig and Platform Work

Here the law has moved furthest, and fastest. A rider deactivated by Zomato, a driver blocked by Uber, or a professional dropped by Urban Company now has, in two states, an actual statutory right to reasons.

Rajasthan’s Platform-Based Gig Workers (Registration and Welfare) Act, 2023 was the first to build a grievance-redressal mechanism with a designated officer and an appellate authority. Karnataka went further in 2025: its Act requires platforms to give written reasons and 14 days’ notice before deactivation, observe natural justice, and constitute Internal Dispute Resolution Committees.

That protection is now the subject of a live constitutional fight, covered in detail in this analysis of the Karnataka gig worker litigation. Aggregators including Uber, Swiggy, Zomato, Zepto, and Urban Company have challenged the Act in the Karnataka High Court, arguing repugnancy under Article 254 with the central Code on Social Security, 2020. The court has granted interim protection, and the matter remains sub judice as of mid-2026.

Above the state laws sits the broader question the Supreme Court has been asked to settle. The Indian Federation of App-based Transport Workers PIL, filed in September 2021, argues that platform control over workers, algorithmic control, points to an employment relationship deserving constitutional protection under Articles 14, 21, and 23. That case is still pending, which tells you how unsettled the ground remains.

What Actually Happens When Someone Pushes Back

The formal rights matter less than the routes people actually use. Most challenges never reach a court, and the ones that succeed tend to move through channels that predate the algorithm entirely.

Collective pressure has done what individual rights could not. Gig worker unions have repeatedly forced platforms to the table on deactivations and pay, a dynamic TPB has tracked through India’s gig worker strikes.

Salaried staff have a quieter path. The internal grievance process remains the first and often only step, and how well it works depends on whether the employer treats grievance handling as a genuine check or a formality.

In the End…

The recent state laws, central policies, and court rulings all point toward a future where automated employment decisions carry an obligation to explain and a route to contest.

Though an employee’s right to challenge automated decisions is limited right now, it’s clear it will not be for long. The decisions made by algorithms are still owned by the company, hence making them open to challenge.

An HR team can map every automated decision point in the employee lifecycle, from screening to performance flags to any platform deactivation logic, and attach a human review step and a documented appeal path to each one. That means writing down the grounds on which a decision can be contested, naming who hears the appeal, and setting a timeline.

Employers who wait for that obligation to become mandatory will have to build mechanisms under legal pressure, not on their own terms.

FAQs

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Can I challenge a job rejection made by an AI screening tool in India?

A rejected applicant has no statutory right to contest an automated screening decision. The DPDP Act, 2023 allows candidates to request access to their personal data and correct errors in it, which can occasionally surface a misparsed resume, but it does not compel employers to justify the rejection itself.

Does India’s DPDP Act give employees a right to an explanation for automated decisions?

No. The Digital Personal Data Protection Act, 2023 carries no equivalent of the GDPR’s Article 22. The rights it confers run to data access, correction, erasure, and grievance redressal, with no provision requiring employers to explain the logic behind algorithmic ranking, scoring, or screening.

What rights do gig workers in India have if a platform deactivates their account?

Rajasthan and Karnataka have passed state laws creating statutory rights for platform workers. Karnataka’s Platform-Based Gig Workers Act requires aggregators to give written reasons, 14 days’ notice, and access to Internal Dispute Resolution Committees before deactivation. Workers in other states still depend on platform grievance channels or collective action.

Can a salaried employee dispute a termination triggered by productivity monitoring software?

Yes, but the challenge runs through employment law, not through any AI-specific statute. Termination has to follow the contract and, for workmen under the Industrial Disputes Act, 1947, the prescribed statutory process. A labour court will hear the dispute regardless of whether a human or a model triggered the dismissal.

Does Indian law require companies to disclose how their hiring algorithms work?

No general disclosure requirement exists. Candidates and employees cannot compel companies to reveal the logic, weights, or training data used by screening and performance models. The strongest transparency obligations sit with gig-work platforms in Karnataka and Rajasthan, which must give written reasons for account deactivations.