Review on Social and Ethical Concerns of Generative AI and IoT

The Internet of Things (IoT) and Generative Artificial Intelligence (Generative AI) are two quickly developing technologies that have the potential to completely transform a lot of elements of our daily lives. A form of AI known as “generative AI” is able to create and modify material by using patterns discovered from large datasets. When paired with the interconnectedness of IoT devices, this capability holds enormous promise for a variety of businesses. Generative AI can intelligently analyze and apply the massive volumes of data generated by the internet to drive innovation and optimize operations by leveraging deep learning skills. However, there may be significant ethical and societal issues if generative AI and IoT systems are integrated in the future. These could include concerns about security threats, privacy, issues with biases and justice, a lack of autonomy and human control, and new problems like the dearth of moral content producers. This article investigates the ethical and societal issues that can surface if generative AI and IoT ecosystems mix, considering how new these technologies are. This research aims to promote a nuanced awareness of the crucial balance between technological innovation and responsible deployment by bringing these ethical and societal issues to light and directing stakeholders towards an ethically sound integration of generative AI inside IoT ecosystems.