Browsing by Author "Saxena, Deepak"

Now showing 1 - 3 of 3

Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry
(IGI Global, 2021) Saxena, Deepak
Artificial intelligence (AI) systems have become a new reality of modern life. They have become ubiquitous to virtually all socio-economic activities in business and industry. With the extent of AI's influence on our lives, it is an imperative to focus our attention on the ethics of AI. While humans develop their moral and ethical framework via self-awareness and reflection, the current generation of AI lacks these abilities. Drawing from the concept of human-AI hybrid, this chapter offers managerial and developers' action towards responsible machine learning for ethical artificial intelligence. The actions consist of privacy by design, development of explainable AI, identification and removal of inherent biases, and most importantly, using AI as a moral enabler. Application of these action would not only help towards ethical AI; it would also help in supporting moral development of human-AI hybrid.
Towards Energy Efficient Cloud Computing: Research Directions and Methodological Approach
(Springer, 2021-03-26) Saxena, Deepak
Cloud computing has revolutionized the IT industry by allowing the supply of elastic computing tools on demand as pay-as-you-go services such as SaaS, PaaS, and IaaS (Beloglazov, Energy-efficient management of virtual machines in data centers for cloud computing. PhD thesis, 2013; Farahnakian et al., Energy and performance: management of virtual machines: provisioning, placement, and consolidation. 2016). Cloud computing has contributed to the reinventing of the way technology resources such as servers, storage, private networks, application platforms, and software services are procured and provisioned. A cloud consumer only requires an Internet connection to connect to a cloud service provider to use these services without placing undue pressure on the resources of their computer or mobile device. A medium-sized enterprise may outsource the demand for computing resources to the Cloud and escape high front-end costs that could be spent on private computational resources and thereby save costs that may arise from hardware and software maintenance and upgrades. A giant enterprise, meanwhile, can also create its own private cloud data center to satisfy the demand for computing services and enhance the process of resource management and provisioning. However, cloud computing infrastructure requires massive energy, sometimes even exceeding the energy requirements of a mid-size town. This chapter discusses the need for energy efficiency and the methodological approach needed to achieve energy efficiency.
Understanding the Effect of Social Media Use on Psychological Stress During the COVID-19 Pandemic
(IGI Global, 2022) Saxena, Deepak
This study examines the effect of the modern technology of social media on psychological stress during Irish COVID-19 quarantine restrictions. Literature indicates mixed findings regarding social media usage and psychological stress. Acknowledging its multifaceted nature, social media use in this study is examined through the category usage motivators of consuming, participating, and producing. Usage motivators significantly indicate variations in terms of impact on stress. Social media use for the purpose of consuming is moderately correlated with increased levels of psychological stress. Social media use for the purpose of participating exhibits a weak correlation with decreasing levels of psychological stress. Social media use for the purpose of producing exhibits no significant relationship with psychological stress during quarantine. Findings of this study are valuable for government and corporate policy makers and mental health and marketing professionals, with implications in psychological wellbeing practices and mindful social media use during quarantine.