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Heidelberg University Launches AI Board to Guide Digital Strategy

Heidelberg University's new AI Board will guide digital strategy. It aims to relieve routine tasks and optimize work processes, starting with an e-learning course in mid-September.

There is a poster in which there is a robot, there are animated persons who are operating the...
There is a poster in which there is a robot, there are animated persons who are operating the robot, there are artificial birds flying in the air, there are planets, there is ground, there are stars in the sky, there is watermark, there are numbers and texts.

Heidelberg University Launches AI Board to Guide Digital Strategy

Heidelberg University has established an AI Board to oversee its digital strategy, concentrating on artificial intelligence. The board, a multidisciplinary group comprising faculty, students, and other stakeholders, aims to prioritize projects and achieve swift results. It functions by addressing questions posed by the rectorate and generating recommendations for decision-making.

The AI Board covers a wide range of topics, such as employing AI tools in teaching and learning, assessing open-source solutions, and ensuring responsible AI use in doctoral procedures. It also coordinates compliance with the European AI regulation, with the newly created role of AI representative. To promote AI literacy, an e-learning course will be accessible from mid-September, providing fundamental AI knowledge to all university members.

The university's emphasis on digitalization, including AI, extends to teaching, research, transfer, research infrastructures, and administration. It seeks to use AI to alleviate routine tasks, optimize work processes, and enable staff to focus on core tasks. Nevertheless, there are no specific future initiatives or timelines announced for implementing the digital strategy.

Heidelberg University's AI Board, a strategic advisory body, is striving to integrate AI effectively into the university's operations. Although the university's focus on digitalization is evident, specific plans and timelines for AI implementation remain to be announced.

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