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The thin feminine body ideal in Western society has persisted, despite becoming less representative of the female population, with obesity rates consistently rising since the 1980s. Recently, the COVID-19 pandemic has exacerbated obesity rates, due to curtailed interventions, restricted mobility/enforced physical inactivity and increased reliance on processed food with a longer shelf life due to social isolation (World Obesity Foundation, n.d.). Individuals with obesity report weight discrimination in a broad range of settings, including employment, where researchers have documented weight discrimination in relation to hiring, job assignment, promotion, remuneration and work stability. Weight discrimination may be worse for jobs involving public interaction, particularly for women, because heavier women do not conform to societal body ideals, leading to weight stigmatisation such as anti-fat attitudes and beliefs (e.g. negative stereotypes) and prejudice. This chapter presents a systematic literature review of studies that have examined weight discrimination against women with obesity in jobs involving public interaction, i.e. ‘customer-facing roles’.

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.