Amanda Wasielewski
Biographic Data
| ID | 4194577 |
|---|---|
| NAME | Amanda Wasielewski |
| GIVEN NAMES | Amanda |
| FAMILY NAME | Wasielewski |
| SIGNATURE | WASIELEWSKI A |
| AFFILIATIONS | Moscow State University of Technologies and Management named after K.G. Razumovskiy |
| ORCID | 0000-0002-3034-0757 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Robert L. Bowen, The Human Shutter
AI and Curation
Digitization and the value attached to it have been challenged by the advent of generative artificial intelligence (AI) in recent years. As museums and cultural heritage institutions begin to embrace a wider range of uses for AI tools, urgent questions have arisen around the role of the curator in arts and culture. What happens to the positioning of the curator as a figure of discernment and creativity when faced with automation through generativ…
Abundance and Absence in AI
Over the past two years the hype around artificial intelligence (AI) and its rapid pace of development have made it exceedingly difficult to reflect on it in a nuanced way. Doing so, of course, req
Dall-E in Flatland
The release of multimodal generative artificial intelligence (AI) models in 2022, including DALL-E, Midjourney, and Stable Diffusion, has opened up new avenues to producing images. This new paradigm has implications for ideas of vision, illusion, and representation. Computer vision research has long used photographic images as a way to enable machines to see. Generative AI, on the other hand, uses data and techniques from computer vision to creat…
Critical Response V
Unnatural Images
Authenticity and the Poor Image in the Age of Deep Learning
Deep learning techniques are increasingly used to automate categorization and identification tasks for large datasets of digital photographs. For rasterized images formats, such as JPEGs, GIFs, and PNGs, the analysis happens on the level of individual pixels. Given this, digital images used in deep learning applications are typically restricted to relatively low-resolution formats to conform to the standards of popular pre-trained neural networks…
Content
Title
The Digital U-Turn in Art History
Over the past decade humanities researchers have increasingly come to embrace digital methods. Art historians, however, have often resisted engaging with these developments. In this article, we explore the driving factors behind art history's reticence toward the digital turn in the humanities. Reflecting on the historiographic trajectory of the emerging field of digital art history (DAH) versus art history more generally, we selected a sample of…
Cultures of Digitization
Art museums began using computers to help organize, catalogue, and coordinate their collections as early as the 1960s. In more recent times, art historians have consolidated the use of digital tools in the discipline within the emerging field of Digital Art History (DAH). In this historiographic study, we set out to understand DAH through an analysis of existing scholarship in the field. Our method combined both text mining and close reading of t…
From rogue sign to squatter symbol
The international symbol for squatting originated in Amsterdam in late 1979. Its origins and particular meaning are less clear. This article investigates several possible influences on the design of the symbol and its significance as an urban meme
Lurking Within Reach
In the 1860s, the debate over whether photography was an accurate and useful tool for recording microscopic specimens was unresolved. Albert Moitessier’s La photographie appliquée aux recherches micrographiques (1866) was one of the first instructional books to outline techniques combining photography and microscopy. Moitessier was unique among his contemporaries in his emphasis on stereoscopy and binocular vision. This essay addresses questions …
Unnatural Images
Authenticity and the Poor Image in the Age of Deep Learning
Deep learning techniques are increasingly used to automate categorization and identification tasks for large datasets of digital photographs. For rasterized images formats, such as JPEGs, GIFs, and PNGs, the analysis happens on the level of individual pixels. Given this, digital images used in deep learning applications are typically restricted to relatively low-resolution formats to conform to the standards of popular pre-trained neural networks…
Lurking Within Reach
In the 1860s, the debate over whether photography was an accurate and useful tool for recording microscopic specimens was unresolved. Albert Moitessier’s La photographie appliquée aux recherches micrographiques (1866) was one of the first instructional books to outline techniques combining photography and microscopy. Moitessier was unique among his contemporaries in his emphasis on stereoscopy and binocular vision. This essay addresses questions …
From rogue sign to squatter symbol
The international symbol for squatting originated in Amsterdam in late 1979. Its origins and particular meaning are less clear. This article investigates several possible influences on the design of the symbol and its significance as an urban meme
Cultures of Digitization
Art museums began using computers to help organize, catalogue, and coordinate their collections as early as the 1960s. In more recent times, art historians have consolidated the use of digital tools in the discipline within the emerging field of Digital Art History (DAH). In this historiographic study, we set out to understand DAH through an analysis of existing scholarship in the field. Our method combined both text mining and close reading of t…
Content
Title
The Digital U-Turn in Art History
Over the past decade humanities researchers have increasingly come to embrace digital methods. Art historians, however, have often resisted engaging with these developments. In this article, we explore the driving factors behind art history's reticence toward the digital turn in the humanities. Reflecting on the historiographic trajectory of the emerging field of digital art history (DAH) versus art history more generally, we selected a sample of…
Authenticity and the Poor Image in the Age of Deep Learning
Deep learning techniques are increasingly used to automate categorization and identification tasks for large datasets of digital photographs. For rasterized images formats, such as JPEGs, GIFs, and PNGs, the analysis happens on the level of individual pixels. Given this, digital images used in deep learning applications are typically restricted to relatively low-resolution formats to conform to the standards of popular pre-trained neural networks…
Dall-E in Flatland
The release of multimodal generative artificial intelligence (AI) models in 2022, including DALL-E, Midjourney, and Stable Diffusion, has opened up new avenues to producing images. This new paradigm has implications for ideas of vision, illusion, and representation. Computer vision research has long used photographic images as a way to enable machines to see. Generative AI, on the other hand, uses data and techniques from computer vision to creat…
Critical Response V
Unnatural Images
Abundance and Absence in AI
Over the past two years the hype around artificial intelligence (AI) and its rapid pace of development have made it exceedingly difficult to reflect on it in a nuanced way. Doing so, of course, req
Robert L. Bowen, The Human Shutter
AI and Curation
Digitization and the value attached to it have been challenged by the advent of generative artificial intelligence (AI) in recent years. As museums and cultural heritage institutions begin to embrace a wider range of uses for AI tools, urgent questions have arisen around the role of the curator in arts and culture. What happens to the positioning of the curator as a figure of discernment and creativity when faced with automation through generativ…
Aesthetic Perception and Analysis (6 works) · Art (6 works) · Computer Science (5 works) · Visual arts (5 works) · Art History and Market Analysis (4 works) · History (4 works) · Artificial Intelligence (3 works) · History of art (3 works) · Philosophy (3 works) · Photography (3 works)