Andrea Chan Discusses the Role of AI and Human Judgment in Workplace Mental Health

Chan recalls a poignant instance involving an organization that sought help after the tragic suicide of a long-serving employee. Many colleagues were left feeling guilty, questioning whether they missed signs of her distress, particularly as she had withdrawn from social interactions. This situation highlighted the critical need for psychological safety in workplaces, where employees feel secure to express their challenges and support one another. Fear of being perceived as less capable often prevents employees from seeking help, even when mental health resources are available.

To bridge the gap between mental health awareness and psychological safety, organizations must actively cultivate an environment of support. This is largely influenced by how managers respond to employees expressing difficulty. When people are met with empathy and confidentiality, they are more likely to seek help without fearing negative repercussions on their careers. Programs like Beyond the Label are essential in challenging stigma and fostering an environment conducive to open discussions about mental health.

Chan stresses the need to normalize seeking mental health support, similar to how physical health is addressed. Organizational culture is shaped daily by interactions, making managers pivotal in this effort. They do not need to be mental health professionals, but they should listen without judgment and assist employees in connecting with the right resources. Such actions contribute to a healthier discourse around mental well-being at work.

AI can play a beneficial role in identifying workplace patterns that indicate potential mental health issues. For instance, data may reveal that a certain team is under sustained pressure, prompting further investigation into their working conditions. However, Chan warns against using individual data to draw conclusions about a person's mental health status due to the complexities involved.

The responsible implementation of AI hinges on clearly defining its purpose. It should be used to identify general trends rather than to single out individuals or label them as 'at risk'. Employers are encouraged to utilize aggregated data while maintaining strict confidentiality standards. Alerts generated by AI should serve as prompts for deeper inquiries rather than conclusions.

Building trust around AI in workplace mental health requires transparency about data collection and usage. Employees need assurance that their information will not be misused. It is essential for there to be human oversight to prevent any automated processes from making unilateral decisions regarding an employee’s well-being.

Preventive mental health care should be rooted in active listening. Technology can highlight areas needing attention, but the nuances require input from those experiencing the workplace culture. Employees with lived experiences of mental health challenges offer insights that surveys often miss. Engaging them early in program design leads to more effective support initiatives.

Ultimately, moving towards preventive mental health care involves fostering meaningful conversations and assessing the overall work environment. The upcoming BTL Fest, taking place from 23–25 October 2026 with the theme "Mental Wellness Begins With All of Us," serves as a reminder that individual actions, like checking in with colleagues and demonstrating care, contribute significantly to a supportive workplace atmosphere.