This session focuses on understanding and applying the Responsible AI Framework in the development of machine learning algorithms, bots, and virtual agents, emphasizing responsible design and development practices. It features a series of hands-on tutorials tailored for developers and data scientists, aimed at providing a comprehensive introduction to Microsoft's Azure Responsible AI toolkits and AI Services. The tutorials offers a practical and interactive learning experience. This module is designed to equip participants with the knowledge and skills to leverage Microsoft's Responsible AI tools effectively, ensuring the ethical, transparent, and accountable use of AI technologies in their projects.
Komes is a highly experienced leader in Data and AI in Thailand with over 15 years of expertise. He's played key roles at major Banks in Thailand, focusing on data transformation and AI strategy. He also committed to raising the country's understanding of these areas. By teaching at reputable business schools and speaking at public events, he shares vital knowledge to improve AI literacy and promote the use of AI. Since returning to Bangkok, he's been leveraging data and AI not only to enhance business profitability but also educate thousands of Thai people to boosting productivity with AI.
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We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.
A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.