January 2027
CFP closes 30 Dec
World Conference on Trustworthy Machine Learning
WCTML 2027
World Conference on Trustworthy Machine Learning is a one-day event in Nairobi, Kenya on 26 January 2027, organized by International Conference on Logistics and Business Management. Abstracts are due by 30 December 2026. International Conference on Logistics and Business Management has 243 other upcoming conferences listed here.
Important dates
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Abstract / full paper deadline
In 45 days
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Conference
Nairobi, Kenya
All deadlines are as published by the organizer. Check the official website for the time zone.
About this conference
Focusing on pivotal themes in machine learning, this conference will address the concept of trustworthiness from multiple dimensions, including ethical frameworks and algorithmic design. Submissions are welcome from researchers exploring various issues such as accountability, auditability, and societal impact of AI technologies. Attendees will have the chance to engage in relevant workshops, present their findings, and contribute to discussions led by industry leaders. The event aims to connect researchers and practitioners alike, fostering a collaborative environment dedicated to advancing trustworthy applications of machine learning. Gain insights that bridge the gap between theory and practice while aligning technological growth with ethical considerations.
Call for papers
Abstracts are due by 30 December 2026. Submission details are on the official website.
Where this information comes from
- Source
- Submitted by the organizer
- Listed on
- 26 October 2026
- Verification
- Reviewed by an editor before publishing
- Reference
- FCA2917643
Questions about WCTML 2027
When and where is WCTML 2027?
26 January 2027 in Nairobi, Kenya.
Can I attend online?
This listing does not confirm an online option. Check the official website.
What is the submission deadline?
Abstracts are due by 30 December 2026.
How do I register?
Registration and fees are handled by the organizer on the official website.
Verify that you represent this event.
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