ARLIS/NA Multimedia & Technology Reviews is seeking reviewers for the
following AI tools and resources relevant to art librarianship and art
history.
To volunteer, choose a resource from the list below and complete our Reviewer
Interest form <https://forms.gle/8sVZsi9JyF4mfBDW9> by *Friday, August 1,
2025*.
If you are interested in reviewing a tool that is not listed here, you are
welcome to *nominate a resource* using the same form.
Initial draft submissions are due *Tuesday, September 2nd, 2025*.
Contributing to ARLIS/NA Multimedia & Technology Reviews
<https://multimediatechnologyreviews.arlisna.hcommons.org/> is a great
opportunity to get involved with the Society, learn about interesting new
resources, and help shape the conversation around new tools in our field.
Please read the see the reviewer guidelines for this issue
<https://multimediatechnologyreviews.arlisna.hcommons.org/reviewer-guidelines-october-2025-issue/>,
and direct comments and questions about the reviews to arlisna.mtr_at_gmail.com
.
Submitted by ARLIS/NA Multimedia & Technology Reviews Editors:
Karina Wratschko
Matthew Garklavs
Abigail Walker
*__________________________________________*
*Resources for Review*The brief descriptions below are excerpted from each
resource’s official website and do not necessarily reflect the views
of the *M&T
Reviews* Editors.
1. *Annif *https://annif.org/
Automated subject indexing toolkit, a tool from the National Library of
Finland which is designed for automated subject cataloging. Annif provides
access to multiple ML backends facilitating trials of different ML models
and approaches, including term frequency - inverse document frequency
(TF-IDF) and multi-modal language model (MLLM), and benchmarking a wide
range of approaches to subject and genre cataloging
2. *EBSCO's AI-Enhanced Search*
Includes AI Insights
<https://www.ebsco.com/artificial-intelligence/products/ai-insights>
and Natural
Language Search
<https://www.ebsco.com/artificial-intelligence/products/natural-language-search>
(NLS). AI Insights
generates a short list of key insights from full-text articles, while NLS
improves the researcher’s experience when using their natural language,
enhancing context handling and overall search accuracy.
3. *ProQuest Research Assistant*
https://support.proquest.com/s/article/ProQuest-Research-Assistant-FAQs?language=en_US
ProQuest Research Assistant integrates AI-powered capabilities into
research workflows, offering suggestions and prompts at critical points. It
helps users formulate next steps and boosts productivity by providing
document insights instead of simple generative answers to research
questions. With thousands of colleges and universities providing access to
ProQuest Central, institutions can leverage AI to enhance academic outcomes
while maintaining traditional scholarly standards.
4. *JSTOR’s AI research tool *
https://about.jstor.org/research-tool/#about
JSTOR’s new interactive research tool.
5. *WhisperAI* https://github.com/openai/whisper
Whisper is a general-purpose speech recognition model. It is trained on
a large dataset of diverse audio and is also a multitasking model that can
perform multilingual speech recognition, speech translation, and language
identification.
6. *Transkribus* https://www.transkribus.org/
Transkribus enables you to automatically recognize text easily, edit
seamlessly, collaborate effortlessly, and even train your custom AI for
digitizing and interpreting historical documents of any form. *Comparative
tool: Google Cloud OCR.*
7. *Art Recognition* https://art-recognition.com/
Art Recognition applies machine learning and computer vision techniques
to determine the authenticity of artworks. We use two types
of artificial neural networks to capture an artist’s main characteristics:
a Convolutional Neural Network (CNN) and a Vision Transformer with Shifted
Windows (SWIN). These cutting-edge architectures have been adapted for our
art-classification task, to categorize artworks into “authentic” and
“non-authentic.” While CNNs have conventionally excelled in image
classification, transformers are a modern architecture that also drives
applications such as ChatGPT. Art Recognition has led the way in adapting
Vision Transformers for art authentication.
8. *ArtPI* https://www.artpi.co/
ArtPI is the first public API designed and optimized for art. It
uses AI (artificial intelligence) and deep learning models trained over 1
million artworks. ArtPI is aware of the concepts of style, genre, subject
matter, composition, light, space, color and other principles and elements
of art. ArtPI provides solutions for art market professionals and
businesses, such as galleries, auction houses, museums, and online
marketplaces. Individuals can search a database of public artworks at
artpi.io while businesses can benefit from our easy-to-implement website
plugin or full API to search their private collections and display a visual
search options on their website along with "related content" predictions
and recommendations to optimize visitor engagement and sales. Additionally,
ArtPI can be used on social media networks, such as Instagram, to report on
most shared artworks from an art fair or a gallery exhibit, just by drag
and dropping a picture of the displayed artwork.
9. *Scite *https://scite.ai/assistant
Scite is an AI-powered research tool that helps researchers better
discover and evaluate scientific literature through Smart Citations—a
revolutionary system that shows whether articles support, contrast, or
simply mention a given claim. Founded in 2018, and now part of Research
Solutions, Scite has indexed over 1.3 billion citations and partnered with
more than 30 major publishers to provide researchers with unparalleled
access to scientific literature. With its Scite Assistant, Smart Citation
Index, and advanced search capabilities, the platform addresses critical
challenges such as information overload and research reproducibility.
Trusted by two million active users worldwide, Scite is reshaping how
researchers interact with scholarly content—building ethical,
transparent AI tools that support rigorous, copyright-compliant research.
10. *Living Museum App* https://www.livingmuseum.app/explore
The Living Museum is an experimental user interface using content from
the British Museum’s website[1] (unaffiliated), which aims to show how
these technologies could be used to craft engaging experiences for museums
visitors and people at home. First, we allow visitors to curate
personalized exhibits by searching the collection using natural language.
Second, we use large language models (LLMs) to bring artifacts to life,
allowing visitors to feel their presence and learn about history through
dialogue.
--
_____________________________________________________________
*Matthew Garklavs* | Electronic Resources Librarian, Assistant Professor
Pronouns: He/Him/His
<https://pratt.libcal.com/appointments?u=74286>
Schedule an appointment with me on Zoom
<https://pratt.libcal.com/appointments?u=74286>
*PRATT INSTITUTE*
200 Willoughby Avenue | Pratt Library 1 | Brooklyn, NY 11205
phone: (718) 399-4423 | mgarklav_at_pratt.edu
<https://www.pratt.edu/pratt-shows/pratt-shows-2024?utm_source=Signature&utm_medium=Digital&utm_campaign=Pratt-Shows-2024&utm_content=signature>
Received on Fri Jul 25 2025 - 15:48:41 EDT