Time(s)
The Live Q&A for this talk will begin as soon as the livestream ends. In the event the livestream runs over, the Live Q&A and any follow-up conversation will continue inon the Discord channel for this talk.
Location
Virtual
Description
Artificial intelligence (AI) is emerging in every industry and as it does, members of our practice may respond with mixtures of awe, confusion, concern and inspiration. In our work, we seek to expand collaboration between the human and machine, placing the machine in a role of enabling human outcomes and understanding. While sometimes we hear people describe AI as an “emerging intelligence” it is, in truth, the emergent collaboration with humans that fosters positive personal, societal, and environmental outcomes. This collaboration places Information Architects in a central role for developing valuable AI capabilities.
In this talk we’ll introduce three scenarios as an approachable entry point to explore the relationship between AI systems and the people engaged with them. The scenarios demonstrate that AI systems and their human counterparts both bring unique strengths and weaknesses to the relationship, and as they are both (somewhat) autonomous entities, their interactions require coordination and negotiation. With these scenarios as introduction, we will draw on our range of experiences to outline a framework that IAs can take away to help them think about the key issues in design for AI systems. The framework encompasses items that are common across various types of design for AI, as well as items that are unique to particular tools, projects and contexts.
About the speakers
Carol Smith (@carologic) is a senior research scientist in human-machine interaction at the Carnegie Mellon University Software Engineering Institute and an adjunct instructor for the CMU Human-Computer Interaction Institute. She has been leading user research to improve the human experience across industries for over 20 years and working to improve AI systems since 2015. Carol holds an M.S. in Human-Computer Interaction from DePaul University.
Duane Degler is a partner in Design for Context, a user experience design consultancy. He is also the conceptual design lead at Oxide AI, a Swedish company expanding the potential of AI-enabled search. He focuses on emerging digital practices centered around AI, linked data/knowledge graphs and taxonomy integration to create information-rich applications. He leads web and software projects in the US and Europe. He authored the “Dynamic IA” chapter in the book Reframing Information Architecture. Since 2003, Duane has focused on the unique challenges and opportunities that arise when designing semantically-enabled applications.
