Addressing Mental Health in AI Research

Raising awareness

Jul 01, 2024

Addressing Mental Health in AI Research

Addressing Mental Health in AI Research

Recently, I finished my PhD and finally had some time to reflect on my experience. Over these years, I had a lot of fun and grew in ways that are impossible to summarize in this short post. However, I also experienced severe mental states that brought me down to places I never realized I could be. It was a profound and changing period, from which I was able to recover thanks to the support of the people around me, especially my partner, who also went through the same challenges during her PhD.

During my last year, I started asking around, trying to understand if this was a general feeling or just me. And wouldn’t you know, many of the peers I asked shared the same feelings. Some more, some less, but we were all going through a tough period. Every time I talked to someone new, I could sense a feeling of relief, like they were finally able to open up about it. This widespread experience motivated me to dig deeper and see if there was any existing research on the topic.

Statistics on Academic Mental Health

Looking at the literature, I felt both validated and angry. Here’s what I found:

  • 37% of academic staff indicated a mental health disorder (RAND Europe report, 2017).
  • Graduate students are six times more likely to experience symptoms of depression and anxiety compared to the general population (Evans et al., 2018).
  • Over 20% of postdocs show signs of moderate to severe clinical depression, which is three times higher than in the general population (Max Planck Survey Report, 2022).
  • 50% of academics experience mental health issues such as anxiety, psychological distress, depression, and burnout (Halat D. et al., 2023).

Initial Results

In September 2025 we presented our first findings as a poster in the Human-centered AI Systems session at the Lamarr Institute Conference, under the title Neurodivergence in AI Research: Traits, Stress, and Well-being — co-authored with David Vagni (CNR IRIB, Messina) and Marco Cadavero (University of Bologna).

We surveyed 408 AI professionals and compared them against two reference groups: 155 highly-educated autistic adults and 72 academics from other research fields. The headline numbers were striking:

  • 20.8% of AI professionals reported high levels of autistic traits.
  • 41.2% reported ADHD symptoms.

Both rates are substantially above general-population estimates. Beyond prevalence, we used path analysis to ask which traits drive distress, not just how much distress exists:

  • High stress was the direct driver of depression and anxiety in AI professionals.
  • Difficulties with social communication, behavioral rigidity, and sensory sensitivities significantly pushed stress upward.
  • Low social confidence independently predicted depression symptoms.
  • Higher self-reported effort was associated with lower depression — a paradoxical protective effect.
  • ADHD symptoms mattered, but their effect on distress was largely indirect once specific autistic-trait facets were accounted for.

The takeaway: the AI research ecosystem is sustained in large part by neurodivergent people, and generic wellness programs miss the trait-specific dynamics that actually shape their well-being. Building resilient, genuinely human-centered AI research environments requires targeted neuroinclusion strategies, not one-size-fits-all mental-health initiatives.

References
  • Evans, T., Bira, L., Gastelum, J. et al. (2018). Evidence for a mental health crisis in graduate education. Nat Biotechnol 36, 282–284. https://doi.org/10.1038/nbt.4089
  • Spotlight on 2017. Santa Monica, CA: RAND Corporation, 2018. https://www.rand.org/pubs/corporate_pubs/CP531-2017.html.
  • Russell, N. J., Schaare, H. L., Bellón Lara, B., Dang, Y., Feldmeier-Krause, A., Meemken, M.-T., et al. (2023). Max Planck PostdocNet Survey Report 2022. doi:10.17617/2.3507886.
  • Hammoudi Halat D, Soltani A, Dalli R, Alsarraj L, Malki A. Understanding and Fostering Mental Health and Well-Being among University Faculty: A Narrative Review. J Clin Med. 2023 Jun 30;12(13):4425. doi:10.3390/jcm12134425. PMID: 37445459; PMCID: PMC10342374.