{"id":478213,"date":"2025-11-19T10:03:00","date_gmt":"2025-11-19T02:03:00","guid":{"rendered":"https:\/\/www.um.edu.mo\/news-and-press-releases\/campus-news\/detail\/62658-2\/"},"modified":"2025-11-21T18:04:15","modified_gmt":"2025-11-21T10:04:15","slug":"62658","status":"publish","type":"post","link":"https:\/\/www.um.edu.mo\/pt-pt\/news-and-press-releases\/campus-news\/detail\/62658\/","title":{"rendered":"Towards AI Wellbeing: How to Foster Human Wellbeing in AI Society"},"content":{"rendered":"\n                        \n                        <div><p>As artificial\nintelligence (AI) becomes increasingly integrated into products and services,\nthere is an ongoing debate about how AI will impact societies and their\ncitizens. Even among experts, attitudes and forecasts vary widely: Nobel\nlaureate Geoffrey Hinton has warned about the potential risks of AI, while Yann\nLeCun, Meta\u2019s chief AI scientist, has expressed a more optimistic view\nregarding the capabilities of large language models (LLMs). Against this\nbackground, it is crucial to recognise that public perception and attitudes\ntowards AI will play a role in shaping the future of AI development and its\napplications in society.<\/p><p>AI is Changing\nSociety<\/p><p>Despite the\nchallenges of accurately predicting AI\u2019s trajectory, it is clear that AI is\nchanging society. From the recommendation engines behind social media feeds to\nthe voice assistants on smartphones and advancements in autonomous vehicles, AI\nis here to stay. Therefore, it is important for governments around the world to\nunderstand whether their citizens are prepared for this rapid evolution and\npossess the necessary skills to leverage AI to enhance their competitiveness.\nAfter all, AI does not destroy jobs; it is the way humans choose to use it that\ndoes.<\/p><p>Assessing Attitudes\nAbout AI<\/p><p>To better\nunderstand what people think and know about AI, researchers have developed\nvarious psychometric tools. In our study, <i>Shedding light on relationships\nbetween various attitudes towards AI measures and trust in generative AIs\nChatGPT\/Ernie Bot in a Chinese sample<\/i>, published in <i>Journal of Psychology and\nAI<\/i>, we applied some of these tools to explore global attitudes towards AI,\nfocusing on whether people have positive or negative perceptions of AI. Critics\nmay argue that this approach has limitations, as the concept of AI is broad and\nnot entirely clear. For example, some people might associate AI with science\nfiction, like Hollywood\u2019s cybernetic Terminator, while others might think of\nmundane practical applications such as voice assistants. Nevertheless, our\nresearch found that global attitudes towards AI products such as ChatGPT and\nErnie Bot correlate with greater trust and\/or usage of specific LLM\ntechnologies. This suggests that assessing global attitudes towards AI has\ndiagnostic value\u2014it can help forecast AI adoption across different areas of\nlife.<\/p><p>Our findings also\nshow that it is meaningful to distinguish between positive and negative\nattitudes towards AI. For example, participants with positive attitudes did not\nnecessarily report fewer negative attitudes. In fact, some participants\nexpressed enthusiasm about AI\u2019s potential while simultaneously feeling anxious\nabout it. This cognitive dissonance is understandable, given the unpredictable\nnature of the AI revolution.<\/p><p>It is important for\ngovernment officials to understand people\u2019s attitudes and objective knowledge\nabout AI. Such insights can inform the design of educational programmes and\nregulations to better prepare citizens for an AI-driven future, ultimately\nfostering AI wellbeing.<\/p><p>What is AI\nWellbeing?<\/p><p>AI wellbeing can be\nunderstood in various ways, but its overarching goal is to foster wellbeing in\nsociety where everything\u2014from refrigerators to cars\u2014will be AI-powered. To\nachieve this, engineers and policy makers must design and implement AI systems\nin a humane and ethically sound manner. In another paper,<i> On the relevance of\nMaslow\u2019s need theory in the age of artificial intelligence<\/i>, we argue that\nMaslow\u2019s hierarchy of needs provides a useful framework for this purpose.\nGuided by Maslow\u2019s theory, AI systems should not only address basic human needs\nbut also assist individuals in reaching their full potential through human-AI\ninteraction, thereby facilitating \u2018self-actualising\u2019 as described in the\ntheory. In addition, promoting AI wellbeing involves creating positive\nemotional experiences during interactions with AI systems and products. To\nmeasure AI wellbeing, we have developed the \u2018AI-interaction positivity scale\u2019,\nwhich evaluates how happy, excited, delighted and satisfied individuals feel\nwhen they interact with an AI system or product. This scale was recently\nintroduced in our paper, <i>Introduction of the AI-Interaction Positivity Scale\nand its relations to satisfaction with life and trust in ChatGPT<\/i>, published in\nthe journal <i>Computers in Human Behavior<\/i>.<\/p><p>The findings from\nthis study show that higher scores on AI wellbeing correlate with greater trust\nin ChatGPT, a widely used LLM with over one billion users. Although our data is\ncross-sectional, it suggests that higher AI wellbeing may enhance trust in AI\nproducts. This can be beneficial when the AI system is benevolent. However, the\nemotional benefits of interacting with AI also come with potential risks.\nOverreliance on AI systems may lead to cognitive outsourcing in situations\nwhere independent thinking is essential. These risks are explored in another\npaper, <i>The darker side of positive AI attitudes: Investigating associations\nwith (problematic) social media use<\/i>. This study found that individuals with\nhigher positive attitudes towards AI are also more likely to have social media\naddiction, especially among male participants, given the heavy reliance of\nsocial media platforms on AI. In this view, the study shows that overreliance\ncould result in addictive behaviours towards AI. While I recommend avoiding the\nterm \u2018addiction\u2019 in this context\u2014both to avoid overpathologising everyday\nbehaviour and because the term \u2018social media addiction\u2019 is not officially\nrecognised\u2014we must remain vigilant about these potential risks and maintain our\nability to think independently while enjoying the convenience AI offers.<\/p><p>How are AI\nWellbeing and Attitudes Towards AI Related?<\/p><p>Readers may wonder\nhow AI wellbeing and attitudes towards AI are linked. These constructs are\nindeed related: higher AI wellbeing shows correlations with attitudes towards\nAI, with the correlations ranging from moderate to strong. This relationship is\nnot surprising, as attitudes towards AI reflect a more cognitive approach to\nunderstanding human reactions to AI, while the \u2018AI interaction positivity\nscale\u2019 primarily captures emotional responses. Despite these differences,\nunderstanding people\u2019s attitudes towards AI remains valuable for developing AI\nsystems and products that increase AI wellbeing.<\/p><p>The Opportunities\nand Challenges that AI Offers<\/p><p>AI offers numerous\nopportunities, but both citizens and governments need to adopt a thoughtful and\nresponsible approach to its diverse applications. To understand public\nperceptions of AI and its potential to foster wellbeing, many factors need to\nbe considered. Another paper from our research group, <i>Considering the IMPACT\nframework to understand the AI-well-being complex from an interdisciplinary\nperspective<\/i>, published in <i>Telematics and Informatics Reports<\/i>, presents a new\ntheoretical framework called \u2018IMPACT\u2019. This framework outlines key\nconsiderations for successfully navigating the AI revolution. These include the\n\u2018Interplay of Modality\u2019 of an AI system, human factors (\u2018Person-variable\u2019), the\n\u2018Area\u2019 where AI is applied, cultural and regulatory aspects\n(\u2018Country\/Culture\u2019), and the level of \u2018Transparency\u2019 of AI systems. I believe\nthat the interdisciplinary work being done at the Institute of Collaborative\nInnovation at the University of Macau holds promise for addressing the complex\nchallenges brought about by the rise of AI.<\/p><p>About the author(s)<\/p><p>Christian Montag is\nDistinguished Professor for Cognitive and Brain Sciences, and associate\ndirector of the Institute of Collaborative Innovation at the University of\nMacau. He works at the intersection of psychology, neuroscience and computer\nscience.<\/p><p>Text: Christian\nMontag<\/p><p>Photo: Christian\nMontag, Editorial board<\/p><p>Source: <i><a href=\"https:\/\/www.um.edu.mo\/pt-pt\/news\/publications\/umagazine\/\">UMagazine<\/a><\/i>\nIssue 32<\/p><p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/p><p>Academic Research\nis a contribution column. The views expressed are solely those of the author(s).<\/p><\/div><div><\/div><div><\/div><div><\/div><div><\/div><div><\/div><div><\/div><div><\/div>\n                        \n                        ","protected":false},"excerpt":{"rendered":"<p>As artificial intelligence (AI) becomes increasingly integrated into products and services, there is an ongoing debate about how AI will impact societies and their citizens. Even among experts, attitudes and&#8230;<\/p>\n","protected":false},"author":1,"featured_media":478603,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[61],"tags":[],"class_list":["post-478213","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Towards AI Wellbeing: How to Foster Human Wellbeing in AI Society | Universidade de Macau<\/title>\n<meta name=\"description\" content=\"Universidade de Macau: Uma universidade abrangente p\u00fablica de n\u00edvel internacional fundada em 1981\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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