Generative AI at work: isolation, insomnia, alcoholism... How to cope?

AI and psychosocial risks

Summary: An research published in June 2023 in Journal of Applied Psychology indicates that interactions with AI can lead to feelings of loneliness, which increase insomnia and alcohol consumption. However, Human-IA interactions also stimulate the need for social affiliation, leading to greater self-help behavior towards colleagues. Here's why and how to react.

"No person is an island

Artificial intelligence (AI) is increasingly integrated into organizational functions and employees' working lives. This merging of employees and machines is fundamentally altering the work interactions to which employees are accustomed, leading them to interact more with AI systems than with human colleagues. This increase in interaction between employees and AI foreshadows a shift towards a more "asocial" system, where employees may feel socially disconnected at work.

"No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence" is the title of the research article. No individual is an island: we know that social relationships are fundamental to individual well-being (Umberson & Karas Montez, 2010).

The researchers theorize that the more employees interact with AI in pursuit of their work goals, the more they feel a need for social affiliation, which can contribute to increased helping behavior towards colleagues in the workplace. However, they also experience a sense of loneliness, which can then affect employees' well-being after work (i.e. more insomnia and alcohol consumption).

Tang et al, (2023)

When using AI at work, the increased need for social affiliation would explain self-help behavior, while the increased sense of loneliness would induce more alcohol consumption and insomnia.
Source: Tang et al (2023)

This is the result of four studies involving 794 employees in four different regions (Taiwan, Indonesia, USA and Malaysia).

Consequences for organizations

Companies need to realize that adopting AI can have a significant impact on their employees' well-being.

One immediate reaction could be to ban the use of solutions like ChatGPT in the workplace, to prevent these negative effects. Some companies have already done so.

But this measure would be totally counterproductive. In fact, you'd simply be promoting an uncontrolled "shadow GPT", with professional secrets exposed and user accounts potentially hacked (see our article on the advantage of using a Customized GPT).

What's more, employees would find themselves even more alone, left to their own devices, with the guilty feeling of knowingly breaking their organization's rules.


So what can we do?

Companies could consider training their employees to work effectively with AI, in order to frame the uses and minimize the anxiety that could arise from interacting with these systems. It could also be beneficial to design AI systems that are more "social" and collaborative, favoring a more natural and human interaction.

It should be noted that stimulating the need for social affiliation through interaction with AI can be beneficial for an organization, as it encourages self-help behavior among employees. AI becomes a new "boundary object" that helps create bonds. But beware! It is imperative to introduce safeguards. According to the authors:

Opportunities for socialization unrelated to AI must be offered to mitigate the socially deficient work situation caused by interactions with AI.

By taking these findings into account, companies can develop policies and practices that encourage interaction and collaboration between employees in an environment, with both (1) an AI-related place of mutual support but also (2) non-AI socialization mechanisms.

This could include initiatives such as team brainstorming sessions, group projects and collaborative workspaces with and without AI.

ChatGPT for individuals vs GPT for groups

It's easy to see how individual use of ChatGPT can lead to isolation. A more appropriate approach is to promote the collective use of AI. Instead of individually querying ChatGPT in a strictly individual context, employees could use it as part of collective projects, where the machine's results and suggestions would be shared with real humans. This would allow AI to be integrated more seamlessly into human interactions, strengthening collaboration and innovation within the organization.

By adopting this approach, organizations can create a work culture that values human interaction while leveraging the benefits of these powerful technologies (to find out more, click here).

What does MARYLINK have to offer on this track?

By integrating AI into discussion, ideation and project management spaces, MARYLINK focuses not only on productivity, but also on human interaction and knowledge sharing.

This integration also promotes inclusion, ensuring that all team members can contribute to and benefit from GPT. Instead of feeling isolated or threatened by these new technologies, employees can see how AI can improve their work, make their tasks easier and help them solve problems more effectively.

What's more, sharing the results of interactions with AI can foster a sense of community and cooperation. This enables employees to learn from each other, share experiences and find solutions to common challenges together. It also creates a culture of continuous learning, where employees are encouraged to experiment and adapt as technologies evolve.

By encouraging collaboration and sharing, and minimizing isolation, a MARYLINK platform can help reduce the stress, anxiety and loneliness associated with using AI.

By emphasizing the role of AI as a facilitator rather than a substitute for human interaction, MARYLINK helps maintain a sense of belonging and community in organizations.

 

Mehdi

Mehdi

Mehdi is co-founder and CTO of MARYLINK. He holds a PhD in Management Sciences from Université Paris Saclay, and carried out his research at Institut Mines Télécom before co-founding MARYLINK. Mehdi is a specialist in collective intelligence platforms, which he has been studying for over a decade. His favorite subjects are hybrid intelligence, coopetition and innovation.

0 Comments
Inline Feedbacks
View all comments

Your Header Sidebar area is currently empty. Hurry up and add some widgets.