A leaflet promoting a BBMRI-ERIC ELSI Dialogues session happening on 13 December 2024.
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Artificial Intelligence in South-Eastern Asia: the example of the Indonesian National Artificial Intelligence Strategy on Ethics and Policy

13 December @ 09:00 - 10:00

A leaflet promoting a BBMRI-ERIC ELSI Dialogues session happening on 13 December 2024.

Artificial Intelligence in South-Eastern Asia: the example of the Indonesian National Artificial Intelligence Strategy on Ethics and Policy

Are you interested in how artificial intelligence is transforming the health sector across South-Eastern Asia? Wondering how start-up companies in this region are contributing to healthcare innovations?

In this special ELSI dialogue, we will explore the promising landscape of AI applications in health within South-Eastern Asia. Through real-world examples from start-up companies and insights into regional collaborations, we will dive into the dynamic ecosystem where AI is reshaping healthcare delivery.

A central feature of the discussion will be Indonesia’s National Artificial Intelligence Strategy. Our expert speaker, Thilma Komaling, will take you through its historical development, guiding political and legal frameworks, and the ethical principles rooted in Pancasila, Indonesia’s foundational philosophy.

We will also examine how Indonesia’s ethical strategy compares with the European Union’s approach to AI ethics. This comparative analysis will provide a broader perspective on global AI governance frameworks, shedding light on unique challenges and shared goals in developing responsible AI for the future.

 Join us on 13 December 2024 at 9:00 CET.

Register online.

 

Moderator: Dr. Ilaria Colussi

Speaker: Thilma Komaling

 

This webinar is a offered by ELSI Services & Research Department at BBMRI-ERIC.

Details

Date:
13 December
Time:
09:00 - 10:00
Website:
https://cesnet.zoom.us/webinar/register/WN_6KkRYZBRQLaJZixg48nrDQ

Venue

Online

Organiser

BBMRI_ELSI
Email
elsi-helpdesk@bbmri-eric.eu
View Organiser Website

The website was co-funded within ADOPT BBMRI-ERIC, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 676550.
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