Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Economic Sustainability, Mindfulness, and Diversity in the Age of Artificial Intelligence and Machine Learning Description An account of the resource The sustainability of artificial intelligence (Al) and machine learning (ML) requires human diversity and mindfulness. This chapter discusses the various ways in which AI and ML can interact with humans to improve society, e.g., in filing copyrights or design patents or increasing mindfulness. AI and ML could educate weavers and farmers about their legal rights, cultivation methods, banking processes, and the harmful effects of tobacco consumption and other health-related issues. AI and ML could help teach mindfulness. ML can measure additional biofeedback. Music, mathematics, and art may benefit from AI and machine learning. Human-technology relations and the blue-green deployment model can be used to maintain two independent infrastructures or duplicate feature stores. It is possible to cultivate mindfulness and an awareness of diversity and communal harmony through AI and machine learning, as AI and machine learning can infer the emotional and cognitive states of the people with whom they interact. By leveraging the entire process of visualization, reading, and listening with AI, machine learning, and beyond, the digital future has the potential to incorporate real-time emotions and feelings. This would entail emotional responses on both ends and a variety of other technologies and users. 2024 Taylor &amp; Francis Group, LLC. Creator An entity primarily responsible for making the resource Singha R.; Singha S. Source A related resource from which the described resource is derived Machine Intelligence: Computer Vision and Natural Language Processing, pp. 273-285. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003424550-15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003424550-15</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173369972&amp;doi=10.1201%2F9781003424550-15&amp;partnerID=40&amp;md5=dddfa945244411b4a271792e5e66f11d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173369972&amp;doi=10.1201%2f9781003424550-15&amp;partnerID=40&amp;md5=dddfa945244411b4a271792e5e66f11d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100096031-0; 978-103220199-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singha R., Department of Psychology, Christ University, Karnataka, Bangalore, India; Singha S., Department of Commerce, Christ University, Karnataka, Bangalore, India, Department of Commerce, Kristu Jayanti College, Karnataka, Bangalore, India