An implementation of virtual instruments for industries for the standardization

Kaur, Harsimran; Thacker, Chintan; Singh, Vikash Kumar; Sivashankar, Durga; Patil, Pravin P.; Gill, Karan Singh

doi:10.1109/aisc56616.2023.10085547

2023 International Conference on Artificial Intelligence and Smart Communication (AISC) 2023

DOI: 10.1109/aisc56616.2023.10085547

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An implementation of virtual instruments for industries for the standardization

Harsimran Kaur

Chintan Thacker

Vikash Kumar Singh³

et al.

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2024

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Cited by 4 publications

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Artificial Intelligence (AI) has significantly transformed communication within the health and wellness industry. This transformation has not only enhanced healthcare delivery but also empowered individuals with tools and resources that facilitate proactive, personalized wellness management. Through language-based AI applications like chatbots, voice assistants, and Natural Language Processing (NLP) algorithms, healthcare providers can offer seamless patient experiences, enhance accessibility, and support decision-making. Additionally, these AI-driven communication tools help break language barriers, foster patient engagement, and encourage healthy lifestyle choices. This chapter delves into the mechanisms, applications, and implications of AI in reshaping communication in health and wellness, analyzing the ethical, practical, and social facets of this transformation

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The rapid advancement of Artificial Intelligence (AI) and machine learning technologies is significantly reshaping the landscape of sustainable innovation. These technologies promise to enhance efficiency, reduce waste, and foster eco-friendly practices across various sectors, thereby addressing pressing environmental challenges. As industries increasingly adopt AI-driven solutions, they encounter critical issues related to resource management, energy consumption, and environmental impact. Traditional methods often fall short in meeting the urgent demands for sustainability, making the integration of AI essential.

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The global shift toward sustainability changes the behaviour of consumers, thus altering investment decisions. Conscious factors involve financial performance and risk management in finance, thereby changing consumers' preferences toward green investments; the subconscious ones have even more motivating effects. This chapter surveys the underlying psychological mechanisms that may explain this: cognitive dissonance, social norms, emotional resonance, and the application of cognitive bias-including the availability heuristic and the halo effect. Unconscious drivers- such as the desire for moral identity, loss aversion, and reciprocity- do not bias green finance appetite among consumers. Furthermore, this literature reveals that cognitive priming effects, green branding and narrative framing would subtly inform decision-making in such cases. Awareness of these factors brings a deeper understanding of why people are so keen on and attracted to green investments.

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An implementation of virtual instruments for industries for the standardization

Cited by 4 publications

References 13 publications

AI and Language

AI and Language

Role of AI and Machine Learning in Sustainable Innovation

Subconscious Factors Affecting Consumer Preferences Toward Green Investments

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