
SubjectsComputer Science, Engineering & TechnologyĬomputer Vision and Internet of Things: Technologies and Applications explores the utilization of Internet of Things (IoT) with computer vision and its underlying technologies in different applications areas. As a result, it is crucial to manage and steer the development of AI and identify the hierarchical and strategic actions of AI integrated value creation and development processes to ensure the safety of a sustainable future.Įdited ByLavanya Sharma, Mukesh Carpenter The positioning, authorization and limitations of AI are evaluated along with some possible future envisionings. The human-machine interaction, the strategies for assigning roles for AC, its' potential and possible negative-positive impacts have been investigated by considering some possible scenarios related to the decisions about the future of AI in the context of sustainability. The aim of the study is to review and analyze the literature of current theories and the possible future interaction between artificial consciousness and human consciousness, in consideration of sustainability, by defining some speculative cause and effect relations. The interference of AI into these processes may cause some authorization and dominance related problems, which is crucial in defining the dynamics of human-machine interaction and AI-ecology interaction. However, there is also an unclear risk contingency about the way of integration of AI into planet-scale of actions.


Rather than a group of humans' biased deficient actions and anthropocentric development strategies to reach a more sustainably designed future, AI is the one possible game-changer that may be the way of activating an alternative ecocentric mindset.


Artificial intelligence is yet a beneficial agent for sustainable development actions by providing unique contributions to technological advancements focused on various wicked problems, such as the depletion of natural resources, social inequality, climate crisis and neoliberal growth policies.
