AI in HCI
Human-Centred AI or AI-Enabled HCI?
This panel will prompt the audience to discuss how AI is transforming HCI while still holding aspirations to make AI more human-centred. Like many other disciplines, HCI is facing a crisis, having to decide how, what, and when to use AI in its research and practice. The panel will begin by examining the impact that human-centred AI has had on society and technology development, and conversely, reflect on what we as a community should be doing in the face of GenAI being increasingly used in research and practice. Finally, we will ask the audience to consider the merits and dangers of a world where GenAI takes over much of what used to be done by 'hand and head'.
The Shifting Landscape of AI in HCI
Understanding the immediate impact and future projections of AI integration in Human-Computer Interaction.
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
AI systems designed to assist and enhance human capabilities rather than replace them, focusing on ethical considerations and user control.
| Feature | Human-Centred AI | AI-Driven Automation |
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Evolution of HCI Research with GenAI
Case Study: GenAI in UX Design Workflow
A leading design agency reduced initial research and persona creation time by 80% using GenAI tools, allowing their human designers to focus on complex problem-solving and creative ideation. While effective, challenges in bias detection and maintaining 'human touch' emerged.
The risk of GenAI amplifying existing societal biases through synthetic data generation and automated analysis, requiring stringent oversight.
| Aspect | Human Oversight | AI Autonomy |
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| Error Handling |
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| Accountability |
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Calculate Your Potential AI ROI
Estimate the financial and operational impact of implementing human-centred AI solutions in your enterprise.
Your AI Implementation Roadmap
A structured approach to integrating human-centred AI, from initial strategy to scaled operations.
Phase 1: Discovery & Strategy (2-4 Weeks)
Assess current workflows, identify AI opportunities, define success metrics, and develop a tailored AI strategy.
Phase 2: Pilot & Integration (4-8 Weeks)
Implement AI tools in a pilot program, integrate with existing systems, and gather initial feedback for optimization.
Phase 3: Scaling & Optimization (8-16 Weeks)
Roll out AI solutions across the organization, continuous monitoring, performance tuning, and ethical review.
Ready to Transform Your Enterprise with AI?
Connect with our experts to design a human-centred AI strategy that drives innovation and efficiency.