AI-mediated intergenerational skill transfer: enhancing ESG literacy and sustainable consumption among aging...

As nations face two significant megatrends-demographic aging and digital transformation-there is a need to align technological innovation with overarching sustainability goals. This study examines the application of Artificial Intelligence (AI) to improve intergenerational skill transfer, thereby enabling aging populations to substantially contribute to the enhancement of Environmental, Social, and Governance (ESG) literacy and Sustainable Development Goal 12 (Responsible Consumption and Production). This examines the potential collaboration between AI-driven lifelong learning platforms and the engagement of elderly individuals as mentors in sustainability education. The study is guided by three primary inquiries: How can AI-assisted learning environments enhance the capacity of older individuals to transmit ESG-related skills? What impact do AI-personalized, senior-led sustainability programs have on the behaviors and attitudes of younger learners? What ethical and design issues are essential to ensuring that AI technologies equitably support older educators in sustainability transitions? This study uses a stepwise mixed-methods approach, beginning with a thorough assessment of AI applications in adult and intergenerational ESG education. Following this, quantitative data will be collected through interviews with elder participants using AI-assisted sustainability platforms, in conjunction with the qualitative analysis of pre- and post-intervention data to assess environmental attitudes among youth learners. The objectives of this study are to explore how AI-assisted learning environments enhance the capacity of elderly individuals to transmit ESG-related skills and to identify what ethical and design challenges are essential to ensure that AI technologies equitably support elderly individuals in transitioning to sustainability practices. This qualitative study addresses a research gap in AI for Good applications for inclusive environmental governance and digital aging. This study contributes to the expanding domains of AI for good, inclusive environmental governance, and digital aging by presenting a novel framework that integrates human knowledge with machine intelligence to foster sustainable futures.