Artificial Intelligence and Big Data operate at scale, shaping decisions through probabilistic inference and rapid pattern discovery. Data diversity and velocity drive model performance, yet governance, transparency, and privacy constrain practical use. The balance between innovation and risk hinges on…

Artificial intelligence challenges conventional boundaries of copyright by distinguishing protectable expression from underlying data and algorithms. It examines who may claim authorship, when machine-generated content qualifies for protection, and how provenance and transparency affect governance. Licensing, fair use, and training…