This paper explores leadership technology competence of college principals in six domains, (1) vision and leadership, (2) teaching learning, (3) professional practice and productivity, (4) operations and support management, (5) evaluation and assessment, and (6) legal, ethical and social issues. Competence of the principals for using technology gadgets in the domains of teaching -learning was found high whereas his/her social, legal and ethical considerations for technology use were found to be low. Most respondents valued technology competence but focused incorporating its administrative use. Furthermore, leadership training programmes may contain modules related to professional use of databases, content and data management systems in order to enhance principals use of these for day-to-day administrative purposes.

Generative artificial intelligence systems not only produce expressive outputs, but also provide rich latent spaces, i.e., mathematical objects that express the semantic relation among the training data. These unique representational strata represent creative associations and redefine the traditional limits of copyright law. The article introduces the concept of Latent Copyrights, which proposes the provision of copyright protection to intermediate representations of the products generated by AI. It examines the use of computational creativity for the purpose of copyright protection. Engaging in a comparative analysis of the copyright regimes of the U.S., U.K., and E.U., this study suggests a relative system to ensure the protection of innovation, interoperability, and responsibility. The aim is to streamline the Latent Copyright theory of intellectual property with the technicalities of machine learning by offering a paradigm that conceptualizes representational layers of an AI-generated product as a medium of Copyright.