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ICMAB-CSIC · COMMITTEES

Artificial Intelligence Committee

Guiding the responsible, secure and strategic adoption of artificial intelligence across research, scientific services and institutional processes at ICMAB.

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Artificial Intelligence Committee | ICMAB-CSIC

Responsible AI for scientific excellence

The Artificial Intelligence Committee guides the progressive, secure and efficient adoption of AI tools at ICMAB. Its mission is to identify strategic opportunities, promote responsible use, support staff training and foster pilot projects that can improve research, data analysis and institutional workflows.

The Committee provides a transversal forum connecting research groups, scientific and technical services, administration, IT, data-intensive activities and strategic management. Its work supports an approach to artificial intelligence that is useful, ethical, privacy-aware and aligned with ICMAB’s scientific mission.

View the work plan
Artificial Intelligence Committee at ICMAB

Objectives of the AI Committee

The Committee combines institutional coordination, practical capacity-building and responsible experimentation through six objectives.

Identify opportunities

Detect priority areas where AI can improve research, scientific services, administration, data analysis and internal processes.

Define an AI strategy

Develop a shared institutional framework for AI adoption adapted to ICMAB’s needs and responsibilities.

Promote pilot projects

Launch and evaluate initial AI pilots in selected research or institutional workflows.

Training and awareness

Design introductory seminars and practical workshops for staff across research, technical and administrative areas.

Ethics, security and privacy

Supervise responsible AI use, data protection, information security and transparent institutional guidance.

Knowledge sharing

Create an internal space to share resources, examples, recommendations, use cases and lessons learned.

Across these objectives, the programme aims to strengthen research support, institutional efficiency, digital skills, responsible innovation and shared standards for AI use.

A phased approach to adoption

The initial work plan moves from understanding present needs to defining a shared strategy and evaluating carefully selected pilots.

Phase 1 · Diagnosis

Analyse current data flows, internal processes, staff needs and existing uses of AI, supported by a survey of knowledge, expectations and common challenges.

Phase 2 · Strategy and training

Prepare an AI strategy adapted to ICMAB and introduce seminars and practical workshops on the safe, useful and responsible use of AI tools.

Phase 3 · Pilots and evaluation

Select one or two pilot projects, measure their impact, document results and prepare recommendations for scaling successful use cases.

Suggested participation profile

This is a proposed composition framework, not a list of confirmed members.

  • A general coordinator with a transversal institutional vision.
  • Representatives from strategic Direction.
  • Senior researchers from different scientific areas.
  • Technical staff working with IT systems, data and digital infrastructure.
  • A young researcher or doctoral representative with AI experience.
  • Optional legal, ethics or information-security representation.

Resources and follow-up

The current programme identifies the following requirements for implementation and follow-up:

  • Dedicated time from Committee members.
  • Access to secure AI tools, cloud-based or local when appropriate.
  • An internal platform for guidelines, resources, examples and results.
  • Periodic meetings and a six-month progress report.
  • Staff satisfaction and usage surveys to evaluate adoption.

Committee members

Current members and profile links are loaded dynamically from ICMAB People records and organised by constituency. No static names have been added.

Coordinator

Committee coordination.

Direction

Representation from Direction.

Departments

Representatives from ICMAB research departments.

General Services

Representation from General Services.

Young Researchers

Representatives of the young researcher community.

Young Researchers Substitute

Substitute representation, when returned by the People source.

Contact the Committee

Use the confirmed Committee channel for matters relating specifically to artificial intelligence at ICMAB.

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ICMAB-CSIC

Campus de la UAB
08193 Bellaterra
Barcelona, Spain

Committee contact

+34 935 801 853
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