The expansion of photography has resulted in the production of an incalculable number of images of cultural goods. At the same time, the photographic production process itself has undergone numerous technical transformations since the 19th century. In the present era, photography is undergoing further expansion under the influence of digital culture and the Artificial Intelligence paradigm. This expansion is evidenced by studies that utilise photographic data obtained through collective collaboration or that aim to enhance accessibility for the promotion and preservation of cultural heritage. In order to identify the innovations and difficulties encountered in the field of Artificial Intelligence research related to cultural heritage and collaborative photography, this paper presents a literature review analysing articles published in the last four years in three scientific databases. The research primarily concerns studies that incorporate the involvement of the society in the interaction, production, and sharing of photographic images of cultural heritage. The analysis indicates that the informative potential of crowdsourced heritage images, sourced from social networks or integrated into collaborative environments, has been acknowledged. This potential has motivated the development of alternative methodological approaches that utilise artificial systems, such as those based on Convolutional Neural Networks. Conversely, the studies analysed indicate the necessity for adaptation of these Artificial Intelligence methods, as they still exhibit shortcomings. Some of these difficulties are related to the processing of the large volume, diversity and integrity of images from complex participatory sources in the information society.