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EOSC-Future/RDA AIDV-WG co-organised Webinar: Ethical challenges on the benefits and challenges to the use of AI in research in healthcare systems

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Date: 08 Dec 2023
Time: Friday 8 December 2023; 13:30 to 16:00 WIB / 6:30 to 9:00 am UTC

To register for Webinar #1, please use this Zoom link:
[nb slides will be in English. Most presentations and most of the discussion will be in Bahasa Indonesia. Participants are welcome to use English.]

This is the first of three webinars in a series on ‘Artificial Intelligence in Health-related Research’ focuses on the ethical aspects of the scientific and patient care uses of artificial intelligence (AI) in research related to the understanding and promotion of health. The series is organised by the Health Research Ethics Committee (KEPK) and the Indonesian Clinical Training and Education Center (ICTEC) at the Faculty of Medicine Universitas Indonesia and Cipto Mangunkusumo Hospital (RSCM) in cooperation with the EOSC-Future/RDA Artificial Intelligence and Data Visitation Working Group (AIDV), the CODATA International Data Policy Committee (IDPC), and the Strategic Initiative for Developing Capacity in Ethical Review (SIDCER).

The intention of this webinar series is to being to discuss with Indonesian, Asian, and international community the promises and challenges of the emerging transformative power of AI in advancing healthcare. Throughout the workshop series, experts examine the latest trends, methodologies, and advancements in health-related research that harnesses the potential of AI to revolutionize medicines and other interventions for patients. The participants will be exposed to how AI is accelerating the analysis of medical data, enhancing diagnostic accuracy, and paving the way for personalized treatment strategies. Moreover, the discussions emphasized the ethical considerations and responsible implementation of AI in the healthcare domain. We encourage participants to carry forward the knowledge gained here to foster innovation, collaboration, and ethical practices in their respective fields, ultimately contributing to the future of AI-driven advancements in health research.

Topic Speaker
13.30 06.30 Opening Moderator
13.35 06.35 Opening remarks Head of KEPK FKUI RSCM
13.38 06.38 Opening remarks Director RSCM
13.41 06.41 Opening remarks Decan FKUI
13.44 06.44 First speaker introduction Moderator
13.50 06.50 How AI Works in health-related research

  • The development of machine learning, data training, testing, etc.
  • Examples of AI in health-related research
Prasandhya Astagiri Yusuf, S.Si, MT, Ph.D
14.05 07.05 Discussion All
14.15 07.15 Second speaker introduction Moderator
14.20 07.20 Frankenstein’s Monster
A Tale of Innocence

  • Ethics in AI from international perspective
  • The EOSC-Future AIDV’s work on law, human rights, consent, and ethics review
Francis P. Crawley
14.35 07.35 Discussion All
14.45 07.45 Third speaker introduction Moderator
14.50 07.50 The Role of the REC in reviewing AI health-related research proposals

Prof. Dr. Rita Sita Sitorus, Ph.D, SpM(K)
15.05 08.05 Discussion All
15.15 08.15 General Discussion Moderator & All
15.40 08.40 Summary Rapporteurs
16:00 09:00 Close of the webinar Moderator


Key Takeaways

AI’s Transformative Impact on Healthcare: Participants gain an understanding of how Artificial Intelligence is reshaping the landscape of health-related research. From streamlining data analysis to improving diagnostic precision, AI is proving to be a catalyst for transformative advancements in healthcare, offering innovative solutions to longstanding challenges.

Ethical Considerations in AI Implementation: This webinar underscores the importance of ethical considerations in the deployment of AI in healthcare. Attendees discuss the ethical implications of AI-driven decision-making processes, emphasizing the need for responsible AI practices to ensure patient privacy, data security, and equitable access to emerging technologies.

Guiding AI Health-related research Proposals through Ethical Review: The important role of the Research Ethics Committee (REC) in navigating the ethical dimensions of AI in health research are explained. RECs should evaluate AI health proposals to ensure robust frameworks for the responsible and ethically sound implementation of health-related research.

Webinar #2: Revisiting informed consent and the involvement of patients in the context of AI in health-related research

Friday 2 February 2024; 13:30 to 16:00 WIB / 6:30 to 9:00 am UTC
Registration to be announced.

Key Takeaways

The role of AI in the movement toward personalized medicine: The audience will be exposed to how AI is used to discover new medicines that are more appropriate to specific patient populations. In particular, it will discuss how AI can be used to address the needs of orphan patient populations as well as neglected (tropical) diseases.

The impact of data and AI on patient consent in health-related research: This webinar looks at the impact of various consent procedures for data and AI and how these may impact consent in biomedical research.

How the use of AI in health-related research provide for a stronger patient voice: Patience increasingly want a greater voice and greater say in research, including what research is carried out, how the research is designed, and what outcomes are sought. This webinar will address the ways in which AI can bring the research closer to the patient and the patient closer to the research.

Webinar #3: An interactive discussion in working groups on aspects of research and ethics policy for AI in health-related research

Friday 1 March 2024; 13:30 to 16:00 WIB / 6:30 to 9:00 am UTC
Registration to be announced.

Key Takeaways

Defining a policy approach to AI in health-related research: Based on the two previous webinars, the participants will work in groups to identify key policy areas for AI in health-related research.

Involving the stakeholders in policy: The participants will identify the various stakeholders affected by AI in health-related research, their roles and responsibilities.

Developing policy with impact: The participants will examine where policy should have impact, on whom and on what, as well as how such a policy for AI in health-related research should be implemented.

Outcomes of the Webinar Series

This webinar series will develop three outcomes. These outcomes will be driven by KEKP & ICTEC RSCM with support from the AIDV, CODATA IDPC, and SIDCER.

  1. A research paper on AI in health-related research
  2. A publication on the specific needs for ethics and policy in a leading Indonesian journal
  3. A policy brief on ethics in health-related research using AI