Certificate of completion issued to
Anders Lykkestrup
For completing
Human-Centred Artificial Intelligence (HCAI) Pathway
Completion date
26 Jun 2026
Delivered by
Accredited for
Certificate ID
237949ed2baa849174749f3a88b5a195
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About Human-Centred Artificial Intelligence (HCAI) Pathway
6 Learning modules
2 hours of learning
4.2 rating
Foundational level
As artificial intelligence becomes embedded across industries, understanding its human impact is more vital than ever. In this pathway, Emily Yang explores the concept of Human-Centred AI (HCAI), an approach that ensures AI systems are designed, developed, and deployed with human values, safety, and wellbeing at their core. You’ll examine the balance between automation and human control, the importance of explainability and fairness, and the challenges of bias and accountability in AI systems. Through real-world examples and ethical frameworks, you’ll discover how to create AI that enhances human capability rather than replaces it, aligning technology with trust, empathy, and societal benefit.
In this pathway
Understand what Human-Centred AI means and why it matters
Explore how to design and deploy AI systems that prioritise human wellbeing
Recognise and address bias, transparency, and fairness challenges in AI
Learn how explainability and accountability shape trustworthy AI
Discover how ethical design principles can guide responsible AI innovation
Pathway experts
Emily Yang
Human-Centred AI (HCAI) Expert
Emily Yang leads Human-Centred AI and Innovation at a global financial institution and serves on the organisation’s AI Safety and Governance committees. Her work focuses on advancing responsible and trustworthy AI systems that balance innovation with accountability. She is among the first practitioners in the industry to apply Human-Centred AI at scale. With over a decade of experience in human-computer interaction and user experience, Emily has held roles across tech startups, corporate venture builders, and major technology companies. Her journey into AI began with studies in biochemistry and neuroscience, followed by a research master’s in HCI and natural language technologies, during which she published work on perceived empathy and emotional intelligence in virtual agents.