Human-computer interaction (HCI) and artificial intelligence (AI) recently took another step into the future. OpenAI's ChatGPT has swept headlines and captivated nearly 500 million users, since its November 2022 launch.1,2 Psychiatry is no stranger to HCI. ELIZA, a computer program created by Joseph Weizenbaum of MIT in the 1960s, introduced how simple communication patterns provided by artificial means can illicit very real human emotion. Although our lifestyle has evolved drastically, the fundamental structure of our brains is quite like those of our ancestors 200,000 years ago.

When it comes to making sure our homes are clean and healthy, one of the most important things to consider is our indoor air quality. Poor air quality can cause a range of health issues, from respiratory illnesses to allergies and asthma. So how can we improve our air quality and keep our homes healthy? The first step to improving indoor air quality is to reduce the amount of pollutants in your home. This can include anything from dust, pet dander, or smoke.

The field received significant interest in the previous decade, mainly due to advances in automated machine learning (ML) and deep learning (DL). They learn useful patterns from a large amount of data and keep the acquired knowledge as model structures and parameters that can be further applied to make predictions by interpreting unseen data [1]. These models are either a set of elements or features that contribute when making decisions (in ML) or are organized into several layers of abstraction (such as neural networks) for general and specific interpretation tasks (in DL). Healthcare provision and medicine are one of the most significant challenges of AI due to being the pillars for a global society and the necessity of providing higher-quality assistance to the healthcare workforce [2]. An emerging and expanding domain for for application of AI is mental health. Readily available and ubiquitous devices and applications enable the provision of flexible mental care - on-demand, at any time, both at healthcare facilities and at home.

Work-related mental health has become a pressing issue for businesses globally. In the UK, a government-backed Labour Force Survey found that the total number of cases of work-related stress, depression, or anxiety in 2018 and 2019 was 602,000, resulting in a loss of 12.8 million working days. A recent WHO-led study also estimated that depression and anxiety disorders are costing the global economy $1 trillion USD each year in lost productivity. The good news is that artificial intelligence (AI) and machine-based learning have the potential to help in the workplace significantly, once they truly come of age. In its current form, AI is primarily a support mechanism.