Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action

Cao, Longbing

doi:10.1109/mis.2022.3207860

Cited by 5 publications

(3 citation statements)

References 16 publications

(14 reference statements)

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“…This progression, while impressively swift, is also extraordinarily intricate. Indeed, numerous initiatives related to this topic are already underway (Fujino et al 2018;Cao 2022;Indrianti et al 2022). Analogously, in another sphere, discussions are already in progress concerning the integration of digital methodologies and artificial intelligence for healthrelated matters, with mindfulness being a recurring theme in these discussions (Denecke et al 2021;Ahuja et al 2023).…”

Section: Mindfulness and Modern Technologymentioning

confidence: 99%

From Meditation to Techno-Mindfulness: On the Medicalization of Contemplative Practices and Future Prospects

Divino

2024

Histories

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This article explores the historical transformation of mindfulness, through a process of transculturation and commodification, into a biopolitical tool and analyzes possible future scenarios in which this tool will acquire even greater biopolitical strength through the integration of technological devices and artificial intelligence applications, particularly focusing on the growing divide between mindfulness-based therapies and traditional meditation. While both methodologies share the common objective of providing health and psychophysical benefits, they differ fundamentally in their theoretical frameworks, with mindfulness being egolatric and performance oriented while traditional meditation emphasizes transcending psychophysical identity. The development of mindfulness has been influenced by the sociocultural context of neoliberal and capitalist societies, resulting in a model that fosters self-regulation and emphasizes social control. The article also examines the potential biopolitical risks arising from the integration of AI-powered tools into mindfulness-based therapies. The increasing use of digital devices and applications for monitoring physical and mental health may contribute to a society characterized by constant self-surveillance and self-monitoring, reinforcing biopolitical control of the body. Consequently, this raises critical questions regarding the limits of surveillance and the potential exploitation of vulnerabilities through the incorporation of AI-powered tools.

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Section: Mindfulness and Modern Technologymentioning

confidence: 99%

From Meditation to Techno-Mindfulness: On the Medicalization of Contemplative Practices and Future Prospects

Divino

2024

Histories

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“…• AI architectural design beyond specific logic-, moduleor mechanism-oriented design; • Autonomous AI (AutoAI) and data science (AutoDS) beyond automated machine learning (AutoML) [16]; • Non-IID informatics beyond i.i.d. approaches [17];…”

Section: Ai/ds Transformation Transdisciplinarity and Translationmentioning

confidence: 99%

“…• Openness [22,45,58], such as open world, open problems, open set of classes [59], open interactions and relations, open boundaries, and open settings; • Higher-level intelligence [16,60], such as curiosity, imagination, and attention-driven AI/DS research and development.…”

Section: Challengesmentioning

confidence: 99%

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

Cao

2023

Int J Data Sci Anal

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After the many ups and downs over the past 70 years of AI and 50 years of data science (DS), AI/DS have migrated into their new age. This new-generation AI/DS build on the consilience and universology of science, technology and engineering. In particular, it synergizes AI and data science, inspiring Trans-AI/DS (i.e., Trans-AI, Trans-DS and their hybridization) thinking, vision, paradigms, approaches and practices. Trans-AI/DS feature their transformative (or transformational), transdisciplinary, and translational AI/DS in terms of thinking, paradigms, methodologies, technologies, engineering, and practices. Here, we discuss these important paradigm shifts and directions. Trans-AI/DS encourage big and outside-the-box thinking beyond the classic AI, data-driven, model-based, statistical, shallow and deep learning hypotheses, methodologies and developments. They pursue foundational and original AI/DS thinking, theories and practices from the essence of intelligences and complexities inherent in humans, nature, society, and their creations.

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Empowering Machine Learning Development with Service-Oriented Computing Principles

Yousefi,

Degeler,

Lazovik

2023

Communications in Computer and Information Science

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Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action

Cited by 5 publications

References 16 publications

From Meditation to Techno-Mindfulness: On the Medicalization of Contemplative Practices and Future Prospects

From Meditation to Techno-Mindfulness: On the Medicalization of Contemplative Practices and Future Prospects

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

Empowering Machine Learning Development with Service-Oriented Computing Principles

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