As AI continues to progress rapidly, the focus is shifting from developing models that are solely data-driven to creating systems that genuinely comprehend, respect, and meet human needs. Human-Centered Machine Learning (HCML) is an emerging field at the intersection of machine learning, human-computer interaction (HCI), psychology, and design. It aims to build intelligent systems that are not just technically accurate, but also ethically sound, inclusive, interpretable, and aligned with human behavior, values, and societal impact.
This Human-Centered Machine Learning (HCML) training course offers an in-depth exploration of the core principles, tools, and approaches in the field. Participants will learn how to design and implement AI systems that are not only user-centric but also trustworthy and impactful. Through a mix of theoretical insights, real-world case studies, and hands-on projects, learners will gain the skills to ensure machine learning systems are aligned with human feedback, reduce bias, and improve transparency and usability in AI applications.
By the end of this training course, participants will be able to:
This training course is suitable to a wide range of professionals but will greatly benefit:
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
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