A Highly Interactive Training Course On
Human-Centered Machine Learning (HCML)
Designing AI Systems that Prioritize People, Context, and Ethical Intelligence
Course Introduction
With the rapid advancement of AI technology, the focus is shifting from creating models driven solely by data to designing systems that genuinely understand, respect, and address human needs. Human-Centered Machine Learning (HCML) is a growing field that combines machine learning, human-computer interaction (HCI), psychology, and design. It is dedicated to developing intelligent systems that are not only technically precise but also ethically responsible, inclusive, interpretable, and sensitive to human values, behavior, and societal impact.
This Human-Centered Machine Learning (HCML) training course offers an in-depth exploration of the principles, tools, and techniques used in this field. It equips participants with the knowledge to create AI solutions that are user-friendly, trustworthy, and meaningful. Through a blend of theoretical learning, real-world case studies, and hands-on projects, participants will explore how to integrate human insights into machine learning, reduce bias, and enhance transparency and usability in AI systems.
Training Objectives
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
Training Methodology
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.
Who should Attend?
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
Course Outline
- Introduction to HCML: Concepts and Principles
- The limitations of traditional ML approaches
- Human-Centered Design vs. Technology-Centric Design
- Overview of ethical frameworks in AI development
- Case studies: Human impact of poorly designed ML systems
- Human perception, cognition, and trust in AI systems
- Identifying and measuring bias in datasets and models
- Inclusive data collection strategies
- Human diversity and accessibility in AI
- Workshop: Diagnosing bias in real-world AI applications
- UX principles for AI-driven applications
- Explainable AI (XAI): Techniques and best practices
- Transparency and interpretability in different models (e.g., black-box vs. white-box)
- Visualizing machine learning outputs for end-users
- Hands-on: Building interpretable models using user-centric tools
- Concepts of Human-in-the-Loop (HITL) systems
- Reinforcement learning from human feedback
- Interactive labeling, active learning, and adaptive systems
- Tools for prototyping HCML systems (e.g., Teachable Machine, LIME, SHAP)
- Case study: Iterative refinement with user feedback
- The role of empathy, transparency, and trust in AI adoption
- Regulatory perspectives and ethical AI governance
- Designing for marginalized and vulnerable populations
- Group activity: Propose and present a human-centered AI project
- Final discussion: The future of HCML in responsible AI
Providers and Associations
Certificates
- COPEX Certificate of Attendance will be provided to delegates who attend and complete the course
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Our training courses will run for 5 hours per day. The standard daily timing is from 8:30 am – 3:30 pm including the coffee/tea breaks and lunch.
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Once officially registered, we can assist by providing the corporate rates provided by the hotel where the training course will be conducted. Early confirmation will enable us to secure the room at reduced rates
Our cancellation policy varies depending on the circumstances presented. Generally, cancellations must be initiated in formal writing at least 14 days prior to the commencement date of the training course. Further, the option to shift an existing registration to another training course on a later date is possible. Otherwise, a full refund will be initiated.
Delegates who will attend and successfully complete the training course will earn a COPEX Certificate of Completion. This certification is designed to validate the successful knowledge transfer, and that the desired learning objectives and outcomes to further advance your professional competency are achieved.
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