Abstract Historical scholarship in the twenty-first century is undergoing a significant transformation due to rapid technological advancement and large-scale digitization. Emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS), Data Analytics (DA), and Blockchain have profoundly influenced the ways in which historical sources are gathered, examined, preserved, and interpreted. Tools including automated text recognition, algorithm-based pattern detection, digital mapping, large datasets, and secure digital ledgers have expanded the methodological scope of historical research. While these innovations enhance efficiency, accessibility, and analytical depth, they also generate serious concerns related to authenticity, ethical responsibility, algorithmic bias, unequal access, and the erosion of traditional historical skills. This paper critically explores both the challenges and opportunities introduced by recent technological trends and argues that history writing is increasingly evolving into an interdisciplinary domain commonly described as Digital History, where classical historiography intersects with computational approaches.
Ganesh P. Bhame (Sat,) studied this question.