A closer look: Balancing AI use and FMLA compliance
Like the air around us, artificial intelligence (AI) is everywhere. Even those who think they’re not using it might be doing so without knowing it, as it is embedded in many tech applications. Employers that use AI to help streamline employee leave management are generally not doing so to skirt their legal obligations. They should, however, make sure it does not risk violating the federal Family and Medical Leave Act (FMLA).
Without responsible human oversight, employers that solely rely on AI to process leave requests, determine employee eligibility, calculate available leave, or evaluate whether the leave qualifies for FMLA protections can unknowingly be at risk.
Processing leave requests
Using AI can help administer leave requests, but employers should ensure it is accurate when helping with tasks, like:
- Calculating work hours: AI timekeeping programs could incorrectly determine the hours an employee has worked, which might result in a failure to correctly figure out an employee’s FMLA eligibility.
- Determining eligibility: AI that tests for employee eligibility more often than allowed under the FMLA could result in employers denying leave impermissibly.
- Applying leave: AI might also underestimate how much FMLA leave an employee has available, for example, by incorrectly dictating which days should be counted against an employee’s leave entitlement. Employers could deny leave based on an inaccurate count of hours worked.
Handling certifications
Certifications are often at the heart of FMLA administration, but employers must address each situation based on the specific details, which AI might not be able to handle. Potential issues could include the following:
- Privacy: AI could generate rules for FMLA leave certification that results in employees being asked to share more medical information than the FMLA allows.
- Deadlines: AI could trigger penalties when employees miss a certification deadline without considering circumstances that allow employees extra time to supply a certification.
- Violations: As with the eligibility determinations, the use of AI for medical certifications could result in systemic violations across the workforce.
Avoiding interference and retaliation
Employers might need to have a human touch to ensure AI doesn’t risk interfering with an employee’s FMLA rights or retaliating against them for exercising their rights. Employers should be cautious with using AI in these types of scenarios:
- Retaliation: AI used to track leave use may not be used to target FMLA leave users for retaliation or discourage the use of such leave.
- Attendance points: AI must not count FMLA leave use as a negative factor in employment actions or assign negative attendance points to FMLA-protected absences.
- Benefits: AI might not give benefits to employees on FMLA leave if the employer gives those benefits to employees who use other similar types of leave.
- Class action: If AI results in an adverse action against employees based on the use of FMLA leave, unlawful retaliation or interference can occur across a large group of employees.
Key to remember: Employers may use AI to help with administering FMLA leave, but human oversight is still needed.