Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Pisoni, Galena; Díaz-Rodríguez, Natalia; Gijlers, Hannie; Tonolli, Linda

doi:10.3390/app11020870

Cited by 73 publications

(27 citation statements)

References 143 publications

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“…Nevertheless, such intelligence gets efective only if archive-speciic training has been fulilled. Besides, since the determining process of machine learning, especially deep learning models, tend to operate as a łblack boxž [21], it appears necessary to stress human-centered modeling in combination with explainable AI in the computational design for ICH [127].…”

Section: Discussionmentioning

confidence: 99%

Digitizing Intangible Cultural Heritage Embodied: State of the Art

Hou

Kenderdine

Picca

et al. 2022

J. Comput. Cult. Herit.

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Intangible cultural heritage (ICH) as a field of research and site for digital efforts has grown significantly since the UNESCO 2003 Convention for the Safeguarding of Intangible Heritage. In contrast to tangible heritage, where cultural identities are manifested through physical objects, intangible cultural expressions are defined through tacit reliances and embodied practices. Such practices are usually bodily communicated, enacted, socially transmitted, and constantly evolving. Burgeoning trends in computational heritage and ICT applications have played a crucial role in safeguarding ICH as they produce versatile resources while making them accessible to the public. Nevertheless, most of the inventions are object-centric and cater to conserving material-based knowledge bases. Few endeavors thus far have fully supported the recording, representing, and reviving of the living nature of ICH. One of the challenges now faced is to find appropriate forms, together with efficient methods, to document the ephemeral aspects of intangible heritage. Another barrier is to find effective ways to communicate the knowledge inextricably linked to people. In response, recent efforts have embarked on capturing the “live” and “active” facets of the embodied cultures, which entails addressing technological and curatorial complexity to communicate the material and immaterial aspects within a meaningful context. Meanwhile, advancements in experimental museology have opened up new modes of experiential narratives, particularly through visualization, augmentation, participation, and immersive embodiment. Novel practices of cultural data computation and data sculpting have also emerged toward the ideal of knowledge reconstruction. This article outlines state-of-the-art models, projects, and technical practices that have advanced the digitization lifecycle for ICH resources. The review focuses on several critical but less studied tasks within digital archiving, computational encoding, conceptual representation, and interactive engagement with the intangible cultural elements. We aim to identify the advancements and gaps in the existing conventions, and to envision opportunities for transmitting embodied knowledge in intangible heritage.

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Section: Discussionmentioning

confidence: 99%

Digitizing Intangible Cultural Heritage Embodied: State of the Art

Hou

Kenderdine

Picca

et al. 2022

J. Comput. Cult. Herit.

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“…While preliminary research has started to study how human morality can impact the decision-making of future Artificial Intelligence systems, van Berkel et al, [40] contend that these approaches often treat human morals as static and immovable. Pisoni et al [41] also conducted a research review on using technologies in museums and cultural attractions to develop and deliver accessible experiences. Pisoni et al [41] emphasized the significance of delivering AI that is suitable for everyone from various fields of knowledge and experience, such as interaction design, pedagogical design, and participatory design, and it shows how recent and future AI advancements can be used to improve and broaden online and in-person accessibility.…”

Section: Empirical Literature Reviewmentioning

confidence: 99%

“…Pisoni et al [41] also conducted a research review on using technologies in museums and cultural attractions to develop and deliver accessible experiences. Pisoni et al [41] emphasized the significance of delivering AI that is suitable for everyone from various fields of knowledge and experience, such as interaction design, pedagogical design, and participatory design, and it shows how recent and future AI advancements can be used to improve and broaden online and in-person accessibility. De Cremer et al [42] also argued that the increasing usage of advanced systems has led us to a fork in the path.…”

Section: Empirical Literature Reviewmentioning

confidence: 99%

Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution

Mhlanga

2022

Sustainability

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Artificial intelligence (AI) is currently being developed by large corporations, and governments all over the world are yearning for it. AI isn’t a futuristic concept; it is already here, and it is being implemented in a range of industries. Finance, national security, health care, criminal justice, transportation, and smart cities are all examples of this. There are countless examples of AI having a substantial impact on the world and complementing human abilities. However, due to the immense societal ramifications of these technologies, AI is on the verge of disrupting a host of industries, so the technique by which AI systems are created must be better understood. The goal of the study was to look at what it meant to be human-centred, how to create human-centred AI, and what considerations should be made for human-centred AI to achieve sustainability and the SDGs. Using a systematic literature review technique, the study discovered that a human-centred AI strategy strives to create and implement AI systems in ways that benefit mankind and serve their interests. The study also found that a human-in-the-loop concept should be used to develop procedures for creating human-centred AI, as well as other initiatives, such as the promotion of AI accountability, encouraging businesses to use autonomy wisely, to motivate businesses to be aware of human and algorithmic biases, to ensure that businesses prioritize customers, and form multicultural teams to tackle AI research. The study concluded with policy recommendations for human-centred AI to help accomplish the SDGs, including expanding government AI investments, addressing data and algorithm biases, and resolving data access issues, among other things.

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“…On the other hand, AI is also a powerful tool for improving the accessibility of innovative digital services for people with a low level of digital literacy, notably the elderly, people with disabilities, and people living in underdeveloped areas. Usages in this direction are often mentioned in the literature, for example, in [34], where authors survey some works concerning the application of technology to the provision of accessible cultural heritage sites experiences, also highlighting the importance of the role of AI in adapting the offered experiences to the target audience. Moreover, most of the technologies that we presented for bridging the service-fruition gap rely on AI and ML as their core enablers.…”

Section: Artificial Intelligence: the Ultimate Breakthrough?mentioning

confidence: 99%

6G to Take the Digital Divide by Storm: Key Technologies and Trends to Bridge the Gap

et al. 2022

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The pandemic caused by COVID-19 has shed light on the urgency of bridging the digital divide to guarantee equity in the fruition of different services by all citizens. The inability to access the digital world may be due to a lack of network infrastructure, which we refer to as service-delivery divide, or to the physical conditions, handicaps, age, or digital illiteracy of the citizens, that is mentioned as service-fruition divide. In this paper, we discuss the way how future sixth-generation (6G) systems can remedy actual limitations in the realization of a truly digital world. Hence, we introduce the key technologies for bridging the digital gap and show how they can work in two use cases of particular importance, namely eHealth and education, where digital inequalities have been dramatically augmented by the pandemic. Finally, considerations about the socio-economical impacts of future 6G solutions are drawn.

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Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Cited by 73 publications

References 143 publications

Digitizing Intangible Cultural Heritage Embodied: State of the Art

Digitizing Intangible Cultural Heritage Embodied: State of the Art

Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution

6G to Take the Digital Divide by Storm: Key Technologies and Trends to Bridge the Gap

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