This paper examines the potential of artificial intelligence (AI) to address societal megatrends, with a specific focus on OpenAI’s Generative Pre-Trained Transformer 3 (GPT-3). To do this, we conducted an analysis using GPT-3 in order to explore the benefits of AI for digitalization, urbanization, globalization, climate change, automation and mobility, global health issues, and the aging population. We also looked at emerging markets as well as sustainability in this study. Interaction with GPT-3 was conducted solely through prompt questions, and generated responses were analyzed. Our results indicate that AI can significantly improve our understanding of these megatrends by providing insights into how they develop over time and which solutions could be implemented. Further research is needed to determine how effective AI will be in addressing them successfully, but initial findings are encouraging. Our discussion focuses on the implications of our findings for society going forward and suggests that further investigation should be conducted into how best to utilize new technologies such as GPT-3 when tackling these challenges. Lastly, we conclude that, while there is still much work left to do before any tangible effects can be seen from utilizing AI tools such as GPT-3 on societal megatrends, early indications suggest it may have a positive impact if used correctly.

Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in this exploratory study. We utilized the “text-davinci-003” model of GPT-3, using OpenAI playground default parameters. The model was trained with the largest training dataset any AI had, limited to a cut-off date in 2021. This study aimed to test the ability of GPT-3 to advance public health and to explore the feasibility of using AI as a scientific co-author. We asked the AI asked for structured input, including scientific quotations, and reviewed responses for plausibility. We found that GPT-3 was able to assemble, summarize, and generate plausible text blocks relevant for public health concerns, elucidating valuable areas of application for itself. However, most quotations were purely invented by GPT-3 and thus invalid. Our research showed that AI can contribute to public health research as a team member. According to authorship guidelines, the AI was ultimately not listed as a co-author, as it would be done with a human researcher. We conclude that good scientific practice also needs to be followed for AI contributions, and a broad scientific discourse on AI contributions is needed.

Objectives: The current digital revolution is particularly relevant for interactions of healthcare providers with patients and the community as a whole. The growing public acceptance and distribution of new communication tools such as smart mobile phones provide the prerequisite for information and communication technology (ICT) -assisted healthcare applications. The present study aimed at identifying specifications and perceptions of different interest groups regarding future demands of ICT-supported doctor–patient communication in Austria.Methods: German-speaking Austrian healthcare experts (n = 73; 74 percent males; mean age, 43.9 years; SD 9.4) representing medical professionals, patient advocates, and administrative personnel participated in a 2-round online Delphi process. Participants evaluated scenario-based benefits and obstacles for possible prospect introduction as well as degree of innovation, desirability, and estimated implementation dates of two medical care-related future set ups.Results: Panelists expected the future ICT-supported doctor–patient dialogue to especially improve the three factors doctors–patient relationship, patients’ knowledge, and quality of social health care. However, lack of acceptance by doctors, data security, and monetary aspects were considered as the three most relevant barriers for ICT implementation. Furthermore, inter-group comparison regarding desirability of future scenarios showed that medical professionals tended to be more skeptical about health-related technological innovations (p < .001).Conclusions: The findings of this survey revealed different expectations among interest groups. Thus, we suggest building taskforces and using workshops for establishing a dialogue between stakeholders to positively shape the future of ICT-supported collaboration and communication between doctors and patients.

New technological developments affect almost every sector of our daily lives, including the healthcare sector. We evaluated how connected health applications, subsumed as eHealth and telemedicine, are perceived in relation to socio-demographic characteristics. The current cross-sectional, online survey collected self-reported data from a non-probability convenience sample of 562 Austrian adults (58.9% females). The concept of eHealth and telemedicine was poorly established among the study population. While most participants already used mobile devices, they expressed a quite low desirability of using various telemedicine applications in the future. Study participants perceived that the most important overall benefits for implementing connected health technology were better quality of healthcare, location-independent access to healthcare services, and better quality of life. The respective three top-ranked overall barriers were data security, lack of acceptance by doctors, and lack of technical prerequisites. With regard to aging societies, healthcare providers, and users alike could take advantage of inexpensive, consumer-oriented connected health solutions that address individual needs of specific target groups. The present survey identified issues relevant for successful implementation of ICT-based healthcare solutions, providing a compilation of several areas requiring further in-depth research.

The COVID-19 pandemic has dramatically impacted human lifestyles across the world. Lockdowns and home confinement decreased prior opportunities for everyday physical activity. To retrospectively assess how the Austrian population coped with these aspects of the crisis, we conducted a cross-sectional online survey from March to September 2021 using a structured questionnaire in German. In total, 1214 participants (56.9% females, mean age 37.0 years) living across Austria shared self-reported information on sociodemographic characteristics, indoor and outdoor physical activity, reasons for being outdoors, and life satisfaction before and after the emergence of the virus. As a result, overall indoor physical activity significantly decreased in a before–during COVID-19 crisis comparison, although exercising at home with online instructions increased by about 63%. Exercising outdoors increased overall, specifically in periurban forests and rural areas, both by about 9%. Life satisfaction decreased significantly by 19.7% (p < 0.001). Outdoor public places and natural environments gained importance due to restrictions affecting access to sport facilities. Further research is needed to evaluate benefits and therapeutic values of outdoor nature for physical and mental health in times of a global pandemic to maintain resilient societies, as it might impact future active living and life satisfaction.

Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in this feasibility study. We utilized the “text-davinci-003” model of GPT-3, using OpenAI playground default parameters. The model was trained with the largest training dataset any AI had, limited to a cut-off date in 2021. This study aimed to test the ability of GPT-3 to advance public health and to explore the feasibility of using AI as scientific co-author. The AI was asked for input including scientific quotations and the human authors reviewed responses for plausibility. We found that GPT-3 was able to assemble, summarize, and generate plausible text blocks relevant for public health concerns, elucidating valuable areas of application for itself. However, most quotations were invented by GPT-3 and thus, invalid. Ac-cording to today’s rules, we conclude that AI can contribute to public health research as a team member. Nevertheless, good scientific practice needs to be also followed for AI contributions, and a broad scientific discourse on AI contributions is needed. Policies for good scientific practice should be updated timely following this discourse.