How Do We Build Trust in AI Applications? Human Centric Design

How Do We Build Trust in AI Applications? Human Centric Design

The UK government is creating extraordinary opportunities to accelerate the adoption of artificial intelligence (AI) across public services. As the current Government’s AI action plan states, “AI should become core to how we think about delivering services, transforming citizens’ experiences, and improving productivity”. Fully realising this potential, however, requires revisiting a long-standing debate: the role of quantitative versus qualitative research in understanding human experiences. Designing technology around the human as both user and subject makes for a better AI application and builds trust in the model.

Join us at the Winchester School of Art for an interactive discussion on building trust in AI applications through human-centric design. Discover how we can create AI technologies that prioritize human values and ethics. Learn from industry experts and academics about the importance of transparency, accountability, and inclusivity in AI development. Whether you're a student, researcher, govenrment service provider or tech enthusiast, this event will provide valuable insights into the future of AI. Don't miss out on this opportunity to be part of the conversation! A light lunch is provided.This project and workshop are co-funded by the Web Science Institute at Southampton University and the Survival and Flourishing Fund.

Info: Dr Stephen Anning shares research on building human-centric AI by integrating qualitative research approaches into AI systems. Human-centricity is a principle that centres humans in the design and development of AI systems. The MOD explicitly prioritises human-centricity as an ethical principle of its AI policy to ensure “AI systems enhance human well-being and do not introduce unintended harms”. Other government policy documents imply the requirement. Yet any AI-enabled public service of value should be designed for the people it serves to maintain democratic legitimacy. This presentation will provide practical examples of how to build human-centric AI.

Info: Dr Christina Silver explores broader possibilities of human-centred qualitative research by mapping the landscape of developments in AI for qualitative analysis and current developments in this field. This includes a discussion of the ethics involved in using Generative-AI for qualitative research. Christina will also provide some example of conducting qualitative research with AI.

Info: A light lunch is provided.

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