[MUICT – AST The series] Fundamentals of Responsible: From general view of AI/ML practitioners
This talk is suitable for everyone, including AI/ML practitioners, data scientists, and policymakers, interested in responsible AI practices in Thailand.
What you will learn:
This brief talk will cover the fundamentals of responsibility in AI and ML, focusing on best practices to prevent algorithmic bias and manage data quality. In the context of Thailand, participants will learn about the importance of transparency, fairness, and accountability for the impacts of AI/ML usage in analysis and decision-making, considering the country’s specific social and cultural environment.
Skill you will gain:
You will gain insights into best practices for responsible AI, specifically in Thailand’s context.
Mahidol students will be awarded an AT in Internationalization 1 hour.
Schedule
| Time | Detail |
| 10.50 – 11.00 AM | Open Webex room |
| 11.00 – 11.50 AM | Talk about Fundamentals of Responsible: From general view of AI/ML practitioners |
| 11.50 – 12.00 PM | Q&A |
Dr. Tipajin Thaipisutikul
(Instructor of Faculty of ICT, Mahidol University)