Human-Centered Machine Learning (HCML)

As AI technology evolves at a rapid pace, the focus is shifting from creating solely data-driven models to building systems that genuinely understand, respect, and address human needs. Human-Centered Machine Learning (HCML) is an emerging field at the crossroads of machine learning, human-computer interaction (HCI), psychology, and design. It emphasizes the development of intelligent systems that are not only technically robust but also ethically responsible, inclusive, interpretable, and attuned to human values, behavior, and societal impact.

This Human-Centered Machine Learning (HCML) training course offers an in-depth exploration of the core principles, tools, and methodologies behind human-centered AI. Participants will learn how to design and implement AI systems that are user-centric, trustworthy, and impactful. Through a blend of theoretical foundations, practical case studies, and hands-on projects, learners will gain the skills to align machine learning with human input, minimize bias, and improve the transparency and usability of AI applications.

By the end of this training course, participants will be able to:

• Understand the principles of Human-Centered Design in the context of AI and ML
• Identify and reduce algorithmic bias and ensure ethical fairness in machine learning models
• Integrate human feedback into the model training and refinement loop
• Design user-centric AI interfaces that enhance transparency, trust, and interpretability
• Apply participatory design practices to AI system development
• Evaluate the usability and societal impact of intelligent systems

This training course is suitable to a wide range of professionals but will greatly benefit:

• AI/ML Engineers and Data Scientists
• UX/UI Designers working with intelligent systems
• Human-Computer Interaction (HCI) researchers and practitioners
• Product Managers and Innovation Strategists
• Digital Transformation and Ethics Officers
• Policymakers and Tech Governance Professionals