Conference Paper

Transmitting ePortfolio Content for (AI) Analysis

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2024

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Gesellschaft für Informatik e.V.

Abstract

The world of artificial intelligence (AI) tools is exploding and every day a new tool shows up, but equally, many drop off and are never heard of again. This poses a risk to organisations that want to integrate AI meaningfully into their portfolio work because there could ultimately be a lot of change very rapidly. Therefore, in this workshop, we want to initiate a discussion what a technical interface may look like between a portfolio platform and systems that can analyse portfolio content such as those powered by AI. The ultimate goal would be to define a standard of a data-space for ePortfolios that could be used by different providers to easily connect their AI platform to their portfolio platform. Please follow the invitation.

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Hoeppner, Kristina; Lyon, Robert; Gantikow, Alexander; Libbrecht, Paul (2024): Transmitting ePortfolio Content for (AI) Analysis. Proceedings of DELFI Workshops 2024. DOI: 10.18420/delfi2024-ws-38. Gesellschaft für Informatik e.V.

Keywords

ePortfolio, Analysis, Web, Encoding, Transmission, Standards, Artificial intelligence, Text Analysis, API

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