Survey on Digitization and AI Logo

  • SURVEY ON DIGITIZATION AND ARTIFICIAL INTELLIGENCE FOR ARCHIVES AND DOCUMENTARY HERITAGE MATERIALS

    Model for AI-Assisted Digitization study | InterPARES Trust AI

  • This survey is open to professionals working in organizations with archival, special collections, and documentary heritage holdings. Prior experience with artificial intelligence (AI) or digitization is not required to participate in the survey. Your participation is extremely valuable to us.


    Through the survey, we aim to:


    1) Understand the current state of digitization within organizations;

    2) Understand whether organizations are using AI in their digitization projects and programs, and if so, in what ways; 

    3) Understand the drivers, barriers, challenges, and opportunities for organizations in relation to both digitization and AI.


    This survey is part of a study on digitization and AI, conducted as part of the multi-national, interdisciplinary project InterPARES Trust AI. Our study, Model for AI-assisted Digitization of Archives and Documentary Heritage Materials, investigates the potential opportunities and challenges of using AI during digitization projects and programs. Overall, we aim to encourage digitization of archival and documentary heritage materials to ensure their long-term preservation, and learn from organizations using AI in their digitization-related activities.


    The survey consists of four sections, with a total of 50 questions, and takes approximately 20 minutes to complete. Please note: some questions are conditional and will only appear or be relevant if you answered yes to previous questions. All responses are anonymous and results will be anonymized and published in aggregate form. Please submit your answers by May 15th, 2023.


    Thank you for your time and participation!

  • SECTION 1: BACKGROUND INFORMATION

    This section gathers general information about respondents and the organizations where they are employed.

  • SECTION 2: DIGITIZATION ACTIVITIES

    This section gathers information about digitization activities in respondents' organizations.

  • Digitization is understood as the process of creating a digital image of a physical artifact (e.g., paper, photo, film or video, 3D object, etc.) by scanning or photographing it; or, in the case of analogue audiovisual materials (e.g., cassette tape, 16 mm film, etc.), by converting analogue signals to digital bits.

  • According to the 3-2-1 backup rule, organizations should create 3 copies of their digital data (one primary copy and two backups); save backups on 2 different kinds of media; and keep at least 1 backup copy off-site. (Peter Krogh, The DAM Book: Digital Asset Management for Photographers, 2005)

  • SECTION 3: DIGITIZATION CONTEXT

    This section gathers information about how organizations plan, develop, and carry out digitization project(s) and program(s).
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  • SECTION 4: DIGITIZATION AND ARTIFICIAL INTELLIGENCE

    This section gathers information about the current and/or potential role of artificial intelligence in organizations' digitization project(s) or program(s).

  • Artificial intelligence (AI) refers to “systems which have the capacity to process data and information in a way that resembles intelligent behavior, and typically includes aspects of intelligence, learning, perception, prediction, planning or control” (UNESCO, Recommendation on the Ethics of Artificial Intelligence, 2021).

    AI models, methods, tools, and algorithms include those developed in the AI subfields of machine learning and deep learning. These may include off-the-shelf models. Machine learning models may include text classification, natural language processing, named entity recognition, topic modeling, computer vision, or machine translation, to name a few. AI-supported tasks may include handwritten text analysis, transcription, automatic translation, automated speech-to-text, image captioning, or more.

    AI is not the same as automation, which refers to the use of technology to carry out repetitive tasks systematically (often replacing previously manual processes, e.g., automated messaging or reporting). Automation does not require training and decision-making.

  • Feedback Opportunity

  • Please provide your contact information below.

  • THANK YOU FOR YOUR PARTICIPATION!

  • Thank you for taking the time to complete this questionnaire! We value your participation. Your responses will be de-identified and analyzed in aggregate. Analyses of the survey data will contribute to our understanding of the current landscape and the potential opportunities and challenges of using artificial intelligence during digitization. Results of the survey will be shared.

    If you have any questions, comments, or suggestions on the survey or study, please contact Eng Sengsavang: e.sengsavang@unesco.org. If you wish to learn more about this study or about InterPARES Trust AI, please visit: https://interparestrustai.org/.

    Study Team - Model for AI-Assisted Digitization:

    Eng Sengsavang, UNESCO (study lead)

    Hrvoje Stancic, University of Zagreb

    Adam Jansen, Hawaii State Archives

    Marta Riess, International Atomic Energy Agency

    Shadreck Bayane, University of South Africa

    Kailey Fukushima, University of British Columbia (GAA)

    Marina De Souza, University of British Columbia (GAA)

    Zeljko Trbusic, University of Zagreb (GAA)

     

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