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Human-Centered Machine Learning (HCML)

Intensive 5-day course · English, Arabic & European languages

AI engineers and UX designers study human-centred machine learning (HCML) during five days of theory and practical work. Delegates explore ethical design and ways to reduce bias in algorithms. User feedback guides the training and subsequent refinement of models.

Classroom

Public courses in our cities

  • 26–30 Oct 2026Jeddah£4,200 + VAT
  • 26–30 Oct 2026Manama£3,080 + VAT
  • 9–13 Nov 2026Kuala Lumpur£1,800 + VAT
  • 23–27 Nov 2026Muscat£3,080 + VAT
  • 23–27 Nov 2026Dubai£4,200 + VAT
  • 14–18 Dec 2026Barcelona£3,080 + VAT
Show 26 more dates
  • 28 Dec – 1 Jan 2026Manama£3,080 + VAT
  • 28 Dec – 1 Jan 2026Riyadh£4,200 + VAT
  • 4–8 Jan 2027Barcelona£3,080 + VAT
  • 18–22 Jan 2027Geneva£4,200 + VAT
  • 1–5 Feb 2027Frankfurt£2,600 + VAT
  • 15–19 Feb 2027Abu Dhabi£4,200 + VAT
  • 8–12 Mar 2027Rome£3,400 + VAT
  • 22–26 Mar 2027Cairo£2,280 + VAT
  • 12–16 Apr 2027Kuala Lumpur£1,800 + VAT
  • 26–30 Apr 2027Jeddah£4,200 + VAT
  • 10–14 May 2027Barcelona£3,080 + VAT
  • 24–28 May 2027Singapore£4,200 + VAT
  • 7–11 Jun 2027Barcelona£3,080 + VAT
  • 21–25 Jun 2027Muscat£3,080 + VAT
  • 5–9 Jul 2027Frankfurt£2,600 + VAT
  • 19–23 Jul 2027Casablanca£2,280 + VAT
  • 9–13 Aug 2027Rome£3,400 + VAT
  • 23–27 Aug 2027Manama£3,080 + VAT
  • 13–17 Sep 2027Kuala Lumpur£1,800 + VAT
  • 27 Sep – 1 Oct 2027Amman£3,400 + VAT
  • 11–15 Oct 2027Barcelona£3,080 + VAT
  • 25–29 Oct 2027Madrid£3,400 + VAT
  • 1–5 Nov 2027Barcelona£3,080 + VAT
  • 15–19 Nov 2027Berlin£3,400 + VAT
  • 6–10 Dec 2027Frankfurt£2,600 + VAT
  • 20–24 Dec 2027Milan£3,400 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options

Online (live)

With a trainer, on dates to suit your team

This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.

£1,850 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

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Human-Centered Machine Learning (HCML)

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Course overview

Psychology and design contribute to human-centred machine learning alongside ML and human-computer interaction (HCI). Human needs guide development. During five days of study, delegates examine usability and trust in intelligent systems, including questions of ethical responsibility and inclusion. The discussion of societal effects considers human behaviour and values.

Bias measurement receives practical attention in workshops. Delegates explore explainability and the part it plays in users' understanding of software, then work on human-in-the-loop (HITL) learning and interface prototypes using Teachable Machine. User feedback informs successive changes to a model.

Case studies and projects accompany the theoretical sessions. The group considers how human insights inform ML development and explores participatory approaches to design. Evaluation covers both usability and the effects intelligent systems have on society.

Course objectives

By the end of the course, delegates will be able to:

  1. Explain the principles of human-centred design for AI and ML
  2. Identify and reduce algorithmic bias to improve fairness in machine learning models
  3. Integrate feedback from people during model training and subsequent refinement
  4. Design user-centric AI interfaces for transparency, trust and interpretability
  5. Use participatory design practices when developing new AI tools
  6. Evaluate intelligent platforms for usability and their effects on society

Who should attend

This course suits:

  • AI and ML engineers and data scientists
  • UX and UI designers building intelligent systems
  • Human-computer interaction (HCI) researchers and practitioners
  • Product managers and innovation strategists
  • Digital transformation and ethics officers
  • Tech governance professionals and policymakers

Training methodology

  • Interactive lectures and structured group discussions
  • Practical workshops using LIME, SHAP, and Teachable Machine
  • Review of case studies on poorly designed ML systems

Daily agenda

  1. Day 1

    Foundations of human-centred machine learning

    • HCML concepts and core design principles
    • The practical limitations of traditional ML approaches
    • Comparing human-centred design with technology-centric methods
    • Reviewing current ethical frameworks in AI development
    • Analysing the human impact of poorly designed systems
  2. Day 2

    Understanding human needs and algorithmic bias

    • How human perception and cognition affect trust in AI
    • Identifying and measuring bias in datasets and models
    • Strategies for running inclusive data collection
    • Addressing human diversity and accessibility requirements
    • Workshop diagnosing bias in real-world applications
  3. Day 3

    Designing interpretable AI systems

    • Core UX principles for AI-driven software applications
    • Explainable AI (XAI) techniques and current best practices
    • Transparency and interpretability in black-box and white-box models
    • Visualising detailed machine learning outputs for end-users
    • Hands-on session building interpretable models with user-centric tools
  4. Day 4

    Human-in-the-loop learning systems

    • Core concepts of human-in-the-loop (HITL) system architecture
    • Using reinforcement learning from direct human feedback
    • Interactive labelling, active learning, and adaptive software
    • Prototyping HCML systems with Teachable Machine, LIME, and SHAP
    • Case study covering iterative refinement through user feedback
  5. Day 5

    Ethical and social implications

    • Building empathy, transparency, and trust to drive AI adoption
    • Regulatory perspectives and frameworks for ethical AI governance
    • Designing systems for marginalised and vulnerable user populations
    • Group activity proposing and presenting a human-centred AI project
    • Reviewing the future of HCML and responsible AI

Certificate

Every delegate who completes the course receives an ARUK Training Certificate of Attendance.

Frequently asked questions

How do I register?

Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.

Are fees shown with VAT?

Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.

Can this course be delivered for our team only?

Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.

Is this course available online?

Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.

Is there a group discount?

Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.

Can the course be delivered in Arabic or another language?

Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.

What certificate will I receive?

An ARUK Training Certificate of Attendance.

Related courses

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Human-Centered Machine Learning (HCML)

Key booking terms (read before you register)
  • The full fee is paid in advance, before the course starts.
  • Cancel in writing 30 or more days before the start date (45 for in-house) for a refund. Later than that, the full fee is payable.
  • No refund for non-attendance or partial attendance.
  • Places are for the named delegate only; another person cannot attend instead.
  • Moving to another date or city is only possible if ARUK agrees in writing.
  • Travel, accommodation and visas are your responsibility. A refused visa does not change the cancellation terms.

booking terms and conditions

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Human-Centered Machine Learning (HCML)